Web design differences between B2C & B2B (and what works for both!)

Web design is a powerful way to appeal to the type of person who wants to buy your product. But how does it differ between B2C versus B2B? Understanding the differences in web design best practices between consumer retail and business sales is key to succeeding in e-commerce, especially if you’re transitioning or expanding your offering.

Understanding your buyer

B2B and B2C buyers have similarities, but in many respects, they’re very different. Throughout the article, keep in mind that the core difference between the two is the motivation of your audience:

  • B2B buyers’ primary goal is to solve a logical, objective problem. Their secondary goal is to show their superiors or stakeholders that they are valuable to the company.
  • B2C buyers’ primary goal may be to solve a logical, objective problem, but it may also be to fulfill an emotional need. Their secondary goal is to feel better about their quality of life.

In addition to their motivations, business buyers and consumers have expectations for what a “good” and “trustworthy” e-commerce website looks like, depending on your industry. This is why you’ll often find that competitors that are vying for the same audience will have very similar layouts, even if the design components – color, logo, content, and icons – are unique to each brand. You don’t want to be too different from your competitors, or your audience may subconsciously lose trust in your brand.

B2B buyers will also need a more complicated website design than B2C (generally speaking), as the price point is so much higher, and often, business products come with ongoing maintenance. An e-commerce website that sells to brands may require secure logins that lead to an existing customer portal, the ability to offer quantity-based pricing based on several factors, alternative payment methods and lines of credit, and buying approval controls, among other factors. On the other side of the spectrum, B2C e-commerce should aim to get customers to checkout as soon as possible and focus on removing any barriers to checkout. For personal consumers, often, the simpler the website, the more effective.

B2B and B2C design differences

B2B buyers are looking for a solution to a problem that their organization faces, which means that they’re looking for details and proof of value when they examine vendor’s e-commerce websites. They’re also looking for a solution that makes them look intelligent and resourceful to their boss or board members – which is an important detail to remember when working on your web design. The best product will be passed over if the website looks silly or untrustworthy, because your lead either won’t trust it themselves, or won’t feel comfortable sharing it with their team.

B2C customers are also looking for a website that looks trustworthy, but it’s often not their main priority (as long as it doesn’t look untrustworthy). For many retail purchases, the customer is looking for a website that shows them a lifestyle that they aspire to, or that makes them feel good about themselves. They don’t need to justify their purchase to anyone else, so the focus is on persuading the current viewer that your product will make them happier.

Calls to action

Because B2B buyers work with a team to decide on purchases, and must justify their choice to several people, web design that appeals to businesses should allow for a much longer sales cycle than B2C sales.

To appeal to the business buyer, make sure that your calls to action don’t appear prematurely on your e-commerce website. This means avoiding big calls to action that demand a purchase immediately – they’re just unrealistic, as most B2B buyers will need to return to your site at least five times before they’re ready to contact you.

Instead, focus on CTAs that drive your viewers towards further information, such as your blog or resources related to the product they viewed, and that result in you capturing contact information such as their email address. Getting contact info will give you a path to reactivate their interest later down the line, and keep the conversation going over time. Pique viewers interests with account registrations, free quote requests, whitepaper downloads, and other sign-ups that offer immediate value with little risk.

On the other hand, B2C customers may react favorably to calls to action. Our favorite example is our client Joe Grooming: on their website, we kept a minimalist design, but added the detail that every “buy” button on their product pages matches the unique Pantone color assigned to the product.

Length and detail of content

According to Komarketing’s 2015 B2B Web Usability Report, 46% of B2B buyers report rejecting potential vendors because their website is unclear about what exactly they do. That same report also found that 42% left e-commerce websites immediately when served an animated ad or popup (such as for e-books or mailing signups).

When creating your B2B web design, keep in mind that your viewer is busy, under pressure, and looking for answers. They don’t want to be distracted and feeling like their time being wasted will make them move on to your competitors’ websites.

The bottom line: your B2B website needs more content than a B2C e-commerce site, but you must be strategic in what content you produce. Focus on articles, original surveys, and detailed product descriptions that compliment your homepage that states clearly and succinctly what your company does.

A great example of a brand that hits all these points is Polycom, one of – if not the – most ubiquitous office telecom brands. Their e-commerce website focuses on making it very clear where visitors should click, almost to a fault, with this grid, which appears right below their hero image:

By literally spelling out the most likely thoughts a viewer may have when they navigate to the site, Polycom is able to minimize the amount of time visitors spend between seeing the home page and finding a product that solves their problem.

Web design principles that apply to both B2B and B2C

While the goals and motivations of B2B and B2C customers differ, you’re still appealing to people who want to feel good about buying from your brand. Focus on how you can assure each customer that your brand is watching out for them, and they’ve made the right choice and gotten the best deal. If your e-commerce site effectively communicates these things, you’ll see your sales – and loyal customers – increase steadily.

Intuitive navigation

Nobody wants to spend time clicking around a cluttered website. A disorganized online presence is one of the most reliable ways to drive away customers, no matter if you sell makeup or enterprise software. Focus on making web design choices that intuitively prompt users towards the next step in their customer journey, without taking them on any unnecessary detours.

Emotional appeals

Both consumers and business buyers want to emotionally connect to your brand, as well as feel like they made the right logical choice. In fact, according to CMSWire, 10 to 40 percent of consumers form emotional attachments to brand before purchasing, and over 50 percent of business buyers felt emotionally connected to their vendors. If you’re wondering why, try to imagine trusting a group of people for purely logical reasons – it’s almost impossible. We’re all human, after all.

When you create your web design, make sure that it appeals to your customers’ hearts as well as their minds. A quick cheat sheet: include images with people in them, especially if they’re making eye contact with the user. Understand the emotional impact of color schemes. Lastly, write your content as if you’re speaking to the person reading it.

Performance optimization

Last but not least, a site that doesn’t load quickly, has buttons that don’t work, or is otherwise sloppy in its execution will kill your brand. According to Kissmetrics, your site should load in under 3 second, with 2 seconds being ideal. Think the stakes aren’t high enough? 79% of shoppers that leave your website because it’s slow will never come back, and 44% will tell their friends about it.

When creating your web design – or selecting a web designer – make sure to prioritize page load time. If it comes down to that high-quality animation playing in the background, or shaving a few seconds off your load time, pick the latter.

If you don’t like it, neither will they

At the end of the day, much of web design is about common sense. Does your site look appropriate for your customers? Does it work correctly? Can your visitors find what they’re looking for? Great web design answers all of these questions with a resounding “yes!”

Remember, no matter who you’re selling to, they’re a human who wants to feel that they’re making the right choice. Your web design is the primary way that they learn what your brand stands for, who your products are meant for, and whether they can trust you – so make sure you’re communicating with your audience effectively by investing in a great website.

The post  Web design differences between B2C & B2B (and what works for both!) appeared first on The Marketing Automation Blog.

Reblogged 5 months ago from blog.dotmailer.com

​​Measure Your Mobile Rankings and Search Visibility in Moz Analytics

Posted by jon.white

We have launched a couple of new things in Moz Pro that we are excited to share with you all: Mobile Rankings and a Search Visibility score. If you want, you can jump right in by heading to a campaign and adding a mobile engine, or keep reading for more details!

Track your mobile vs. desktop rankings in Moz Analytics

Mobilegeddon came and went with slightly less fanfare than expected, somewhat due to the vast ‘Mobile Friendly’ updates we all did at super short notice (nice work everyone!). Nevertheless, mobile rankings visibility is now firmly on everyone’s radar, and will only become more important over time.

Now you can track your campaigns’ mobile rankings for all of the same keywords and locations you are tracking on desktop.

For this campaign my mobile visibility is almost 20% lower than my desktop visibility and falling;
I can drill down to find out why

Clicking on this will take you into a new Engines tab within your Keyword Rankings page where you can find a more detailed version of this chart as well as a tabular view by keyword for both desktop and mobile. Here you can also filter by label and location.

Here I can see Search Visibility across engines including mobile;
in this case, for my branded keywords.

We have given an extra engine to all campaigns

We’ve given customers an extra engine for each campaign, increasing the number from 3 to 4. Use the extra slot to add the mobile engine and unlock your mobile data!

We will begin to track mobile rankings within 24 hours of adding to a campaign. Once you are set up, you will notice a new chart on your dashboard showing visibility for Desktop vs. Mobile Search Visibility.

Measure your Search Visibility score vs. competitors

The overall Search Visibility for my campaign

Along with this change we have also added a Search Visibility score to your rankings data. Use your visibility score to track and report on your overall campaign ranking performance, compare to your competitors, and look for any large shifts that might indicate penalties or algorithm changes. For a deeper drill-down into your data you can also segment your visibility score by keyword labels or locations. Visit the rankings summary page on any campaign to get started.

How is Search Visibility calculated?

Good question!

The Search Visibility score is the percentage of clicks we estimate you receive based on your rankings positions, across all of your keywords.

We take each ranking position for each keyword, multiply by an estimated click-thru-rate, and then take the average of all of your keywords. You can think of it as the percentage of your SERPs that you own. The score is expressed as a percentage, though scores of 100% would be almost impossible unless you are tracking keywords using the “site:” modifier. It is probably more useful to measure yourself vs. your competitors rather than focus on the actual score, but, as a rule of thumb, mid-40s is probably the realistic maximum for non-branded keywords.

Jeremy, our Moz Analytics TPM, came up with this metaphor:

Think of the SERPs for your keywords as villages. Each position on the SERP is a plot of land in SERP-village. The Search Visibility score is the average amount of plots you own in each SERP-village. Prime real estate plots (i.e., better ranking positions, like #1) are worth more. A complete monopoly of real estate in SERP-village would equate to a score of 100%. The Search Visibility score equates to how much total land you own in all SERP-villages.

Some neat ways to use this feature

  • Label and group your keywords, particularly when you add them – As visibility score is an average of all of your keywords, when you add or remove keywords from your campaign you will likely see fluctuations in the score that are unrelated to performance. Solve this by getting in the habit of labeling keywords when you add them. Then segment your data by these labels to track performance of specific keyword groups over time.
  • See how location affects your mobile rankings – Using the Engines tab in Keyword Rankings, use the filters to select just local keywords. Look for big differences between Mobile and Desktop where Google might be assuming local intent for mobile searches but not for desktop. Check out how your competitors perform for these keywords. Can you use this data?

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 3 years ago from tracking.feedpress.it

Deconstructing the App Store Rankings Formula with a Little Mad Science

Posted by AlexApptentive

After seeing Rand’s “Mad Science Experiments in SEO” presented at last year’s MozCon, I was inspired to put on the lab coat and goggles and do a few experiments of my own—not in SEO, but in SEO’s up-and-coming younger sister, ASO (app store optimization).

Working with Apptentive to guide enterprise apps and small startup apps alike to increase their discoverability in the app stores, I’ve learned a thing or two about app store optimization and what goes into an app’s ranking. It’s been my personal goal for some time now to pull back the curtains on Google and Apple. Yet, the deeper into the rabbit hole I go, the more untested assumptions I leave in my way.

Hence, I thought it was due time to put some longstanding hypotheses through the gauntlet.

As SEOs, we know how much of an impact a single ranking can mean on a SERP. One tiny rank up or down can make all the difference when it comes to your website’s traffic—and revenue.

In the world of apps, ranking is just as important when it comes to standing out in a sea of more than 1.3 million apps. Apptentive’s recent mobile consumer survey shed a little more light this claim, revealing that nearly half of all mobile app users identified browsing the app store charts and search results (the placement on either of which depends on rankings) as a preferred method for finding new apps in the app stores. Simply put, better rankings mean more downloads and easier discovery.

Like Google and Bing, the two leading app stores (the Apple App Store and Google Play) have a complex and highly guarded algorithms for determining rankings for both keyword-based app store searches and composite top charts.

Unlike SEO, however, very little research and theory has been conducted around what goes into these rankings.

Until now, that is.

Over the course of five studies analyzing various publicly available data points for a cross-section of the top 500 iOS (U.S. Apple App Store) and the top 500 Android (U.S. Google Play) apps, I’ll attempt to set the record straight with a little myth-busting around ASO. In the process, I hope to assess and quantify any perceived correlations between app store ranks, ranking volatility, and a few of the factors commonly thought of as influential to an app’s ranking.

But first, a little context

Image credit: Josh Tuininga, Apptentive

Both the Apple App Store and Google Play have roughly 1.3 million apps each, and both stores feature a similar breakdown by app category. Apps ranking in the two stores should, theoretically, be on a fairly level playing field in terms of search volume and competition.

Of these apps, nearly two-thirds have not received a single rating and 99% are considered unprofitable. These studies, therefore, single out the rare exceptions to the rule—the top 500 ranked apps in each store.

While neither Apple nor Google have revealed specifics about how they calculate search rankings, it is generally accepted that both app store algorithms factor in:

  • Average app store rating
  • Rating/review volume
  • Download and install counts
  • Uninstalls (what retention and churn look like for the app)
  • App usage statistics (how engaged an app’s users are and how frequently they launch the app)
  • Growth trends weighted toward recency (how daily download counts changed over time and how today’s ratings compare to last week’s)
  • Keyword density of the app’s landing page (Ian did a great job covering this factor in a previous Moz post)

I’ve simplified this formula to a function highlighting the four elements with sufficient data (or at least proxy data) for our analysis:

Ranking = fn(Rating, Rating Count, Installs, Trends)

Of course, right now, this generalized function doesn’t say much. Over the next five studies, however, we’ll revisit this function before ultimately attempting to compare the weights of each of these four variables on app store rankings.

(For the purpose of brevity, I’ll stop here with the assumptions, but I’ve gone into far greater depth into how I’ve reached these conclusions in a 55-page report on app store rankings.)

Now, for the Mad Science.

Study #1: App-les to app-les app store ranking volatility

The first, and most straight forward of the five studies involves tracking daily movement in app store rankings across iOS and Android versions of the same apps to determine any trends of differences between ranking volatility in the two stores.

I went with a small sample of five apps for this study, the only criteria for which were that:

  • They were all apps I actively use (a criterion for coming up with the five apps but not one that influences rank in the U.S. app stores)
  • They were ranked in the top 500 (but not the top 25, as I assumed app store rankings would be stickier at the top—an assumption I’ll test in study #2)
  • They had an almost identical version of the app in both Google Play and the App Store, meaning they should (theoretically) rank similarly
  • They covered a spectrum of app categories

The apps I ultimately chose were Lyft, Venmo, Duolingo, Chase Mobile, and LinkedIn. These five apps represent the travel, finance, education banking, and social networking categories.

Hypothesis

Going into this analysis, I predicted slightly more volatility in Apple App Store rankings, based on two statistics:

Both of these assumptions will be tested in later analysis.

Results

7-Day App Store Ranking Volatility in the App Store and Google Play

Among these five apps, Google Play rankings were, indeed, significantly less volatile than App Store rankings. Among the 35 data points recorded, rankings within Google Play moved by as much as 23 positions/ranks per day while App Store rankings moved up to 89 positions/ranks. The standard deviation of ranking volatility in the App Store was, furthermore, 4.45 times greater than that of Google Play.

Of course, the same apps varied fairly dramatically in their rankings in the two app stores, so I then standardized the ranking volatility in terms of percent change to control for the effect of numeric rank on volatility. When cast in this light, App Store rankings changed by as much as 72% within a 24-hour period while Google Play rankings changed by no more than 9%.

Also of note, daily rankings tended to move in the same direction across the two app stores approximately two-thirds of the time, suggesting that the two stores, and their customers, may have more in common than we think.

Study #2: App store ranking volatility across the top charts

Testing the assumption implicit in standardizing the data in study No. 1, this one was designed to see if app store ranking volatility is correlated with an app’s current rank. The sample for this study consisted of the top 500 ranked apps in both Google Play and the App Store, with special attention given to those on both ends of the spectrum (ranks 1–100 and 401–500).

Hypothesis

I anticipated rankings to be more volatile the higher an app is ranked—meaning an app ranked No. 450 should be able to move more ranks in any given day than an app ranked No. 50. This hypothesis is based on the assumption that higher ranked apps have more installs, active users, and ratings, and that it would take a large margin to produce a noticeable shift in any of these factors.

Results

App Store Ranking Volatility of Top 500 Apps

One look at the chart above shows that apps in both stores have increasingly more volatile rankings (based on how many ranks they moved in the last 24 hours) the lower on the list they’re ranked.

This is particularly true when comparing either end of the spectrum—with a seemingly straight volatility line among Google Play’s Top 100 apps and very few blips within the App Store’s Top 100. Compare this section to the lower end, ranks 401–)500, where both stores experience much more turbulence in their rankings. Across the gamut, I found a 24% correlation between rank and ranking volatility in the Play Store and 28% correlation in the App Store.

To put this into perspective, the average app in Google Play’s 401–)500 ranks moved 12.1 ranks in the last 24 hours while the average app in the Top 100 moved a mere 1.4 ranks. For the App Store, these numbers were 64.28 and 11.26, making slightly lower-ranked apps more than five times as volatile as the highest ranked apps. (I say slightly as these “lower-ranked” apps are still ranked higher than 99.96% of all apps.)

The relationship between rank and volatility is pretty consistent across the App Store charts, while rank has a much greater impact on volatility at the lower end of Google Play charts (ranks 1-100 have a 35% correlation) than it does at the upper end (ranks 401-500 have a 1% correlation).

Study #3: App store rankings across the stars

The next study looks at the relationship between rank and star ratings to determine any trends that set the top chart apps apart from the rest and explore any ties to app store ranking volatility.

Hypothesis

Ranking = fn(Rating, Rating Count, Installs, Trends)

As discussed in the introduction, this study relates directly to one of the factors commonly accepted as influential to app store rankings: average rating.

Getting started, I hypothesized that higher ranks generally correspond to higher ratings, cementing the role of star ratings in the ranking algorithm.

As far as volatility goes, I did not anticipate average rating to play a role in app store ranking volatility, as I saw no reason for higher rated apps to be less volatile than lower rated apps, or vice versa. Instead, I believed volatility to be tied to rating volume (as we’ll explore in our last study).

Results

Average App Store Ratings of Top Apps

The chart above plots the top 100 ranked apps in either store with their average rating (both historic and current, for App Store apps). If it looks a little chaotic, it’s just one indicator of the complexity of ranking algorithm in Google Play and the App Store.

If our hypothesis was correct, we’d see a downward trend in ratings. We’d expect to see the No. 1 ranked app with a significantly higher rating than the No. 100 ranked app. Yet, in neither store is this the case. Instead, we get a seemingly random plot with no obvious trends that jump off the chart.

A closer examination, in tandem with what we already know about the app stores, reveals two other interesting points:

  1. The average star rating of the top 100 apps is significantly higher than that of the average app. Across the top charts, the average rating of a top 100 Android app was 4.319 and the average top iOS app was 3.935. These ratings are 0.32 and 0.27 points, respectively, above the average rating of all rated apps in either store. The averages across apps in the 401–)500 ranks approximately split the difference between the ratings of the top ranked apps and the ratings of the average app.
  2. The rating distribution of top apps in Google Play was considerably more compact than the distribution of top iOS apps. The standard deviation of ratings in the Apple App Store top chart was over 2.5 times greater than that of the Google Play top chart, likely meaning that ratings are more heavily weighted in Google Play’s algorithm.

App Store Ranking Volatility and Average Rating

Looking next at the relationship between ratings and app store ranking volatility reveals a -15% correlation that is consistent across both app stores; meaning the higher an app is rated, the less its rank it likely to move in a 24-hour period. The exception to this rule is the Apple App Store’s calculation of an app’s current rating, for which I did not find a statistically significant correlation.

Study #4: App store rankings across versions

This next study looks at the relationship between the age of an app’s current version, its rank and its ranking volatility.

Hypothesis

Ranking = fn(Rating, Rating Count, Installs, Trends)

In alteration of the above function, I’m using the age of a current app’s version as a proxy (albeit not a very good one) for trends in app store ratings and app quality over time.

Making the assumptions that (a) apps that are updated more frequently are of higher quality and (b) each new update inspires a new wave of installs and ratings, I’m hypothesizing that the older the age of an app’s current version, the lower it will be ranked and the less volatile its rank will be.

Results

How update frequency correlates with app store rank

The first and possibly most important finding is that apps across the top charts in both Google Play and the App Store are updated remarkably often as compared to the average app.

At the time of conducting the study, the current version of the average iOS app on the top chart was only 28 days old; the current version of the average Android app was 38 days old.

As hypothesized, the age of the current version is negatively correlated with the app’s rank, with a 13% correlation in Google Play and a 10% correlation in the App Store.

How update frequency correlates with app store ranking volatility

The next part of the study maps the age of the current app version to its app store ranking volatility, finding that recently updated Android apps have less volatile rankings (correlation: 8.7%) while recently updated iOS apps have more volatile rankings (correlation: -3%).

Study #5: App store rankings across monthly active users

In the final study, I wanted to examine the role of an app’s popularity on its ranking. In an ideal world, popularity would be measured by an app’s monthly active users (MAUs), but since few mobile app developers have released this information, I’ve settled for two publicly available proxies: Rating Count and Installs.

Hypothesis

Ranking = fn(Rating, Rating Count, Installs, Trends)

For the same reasons indicated in the second study, I anticipated that more popular apps (e.g., apps with more ratings and more installs) would be higher ranked and less volatile in rank. This, again, takes into consideration that it takes more of a shift to produce a noticeable impact in average rating or any of the other commonly accepted influencers of an app’s ranking.

Results

Apps with more ratings and reviews typically rank higher

The first finding leaps straight off of the chart above: Android apps have been rated more times than iOS apps, 15.8x more, in fact.

The average app in Google Play’s Top 100 had a whopping 3.1 million ratings while the average app in the Apple App Store’s Top 100 had 196,000 ratings. In contrast, apps in the 401–)500 ranks (still tremendously successful apps in the 99.96 percentile of all apps) tended to have between one-tenth (Android) and one-fifth (iOS) of the ratings count as that of those apps in the top 100 ranks.

Considering that almost two-thirds of apps don’t have a single rating, reaching rating counts this high is a huge feat, and a very strong indicator of the influence of rating count in the app store ranking algorithms.

To even out the playing field a bit and help us visualize any correlation between ratings and rankings (and to give more credit to the still-staggering 196k ratings for the average top ranked iOS app), I’ve applied a logarithmic scale to the chart above:

The relationship between app store ratings and rankings in the top 100 apps

From this chart, we can see a correlation between ratings and rankings, such that apps with more ratings tend to rank higher. This equates to a 29% correlation in the App Store and a 40% correlation in Google Play.

Apps with more ratings typically experience less app store ranking volatility

Next up, I looked at how ratings count influenced app store ranking volatility, finding that apps with more ratings had less volatile rankings in the Apple App Store (correlation: 17%). No conclusive evidence was found within the Top 100 Google Play apps.

Apps with more installs and active users tend to rank higher in the app stores

And last but not least, I looked at install counts as an additional proxy for MAUs. (Sadly, this is a statistic only listed in Google Play. so any resulting conclusions are applicable only to Android apps.)

Among the top 100 Android apps, this last study found that installs were heavily correlated with ranks (correlation: -35.5%), meaning that apps with more installs are likely to rank higher in Google Play. Android apps with more installs also tended to have less volatile app store rankings, with a correlation of -16.5%.

Unfortunately, these numbers are slightly skewed as Google Play only provides install counts in broad ranges (e.g., 500k–)1M). For each app, I took the low end of the range, meaning we can likely expect the correlation to be a little stronger since the low end was further away from the midpoint for apps with more installs.

Summary

To make a long post ever so slightly shorter, here are the nuts and bolts unearthed in these five mad science studies in app store optimization:

  1. Across the top charts, Apple App Store rankings are 4.45x more volatile than those of Google Play
  2. Rankings become increasingly volatile the lower an app is ranked. This is particularly true across the Apple App Store’s top charts.
  3. In both stores, higher ranked apps tend to have an app store ratings count that far exceeds that of the average app.
  4. Ratings appear to matter more to the Google Play algorithm, especially as the Apple App Store top charts experience a much wider ratings distribution than that of Google Play’s top charts.
  5. The higher an app is rated, the less volatile its rankings are.
  6. The 100 highest ranked apps in either store are updated much more frequently than the average app, and apps with older current versions are correlated with lower ratings.
  7. An app’s update frequency is negatively correlated with Google Play’s ranking volatility but positively correlated with ranking volatility in the App Store. This likely due to how Apple weighs an app’s most recent ratings and reviews.
  8. The highest ranked Google Play apps receive, on average, 15.8x more ratings than the highest ranked App Store apps.
  9. In both stores, apps that fall under the 401–500 ranks receive, on average, 10–20% of the rating volume seen by apps in the top 100.
  10. Rating volume and, by extension, installs or MAUs, is perhaps the best indicator of ranks, with a 29–40% correlation between the two.

Revisiting our first (albeit oversimplified) guess at the app stores’ ranking algorithm gives us this loosely defined function:

Ranking = fn(Rating, Rating Count, Installs, Trends)

I’d now re-write the function into a formula by weighing each of these four factors, where a, b, c, & d are unknown multipliers, or weights:

Ranking = (Rating * a) + (Rating Count * b) + (Installs * c) + (Trends * d)

These five studies on ASO shed a little more light on these multipliers, showing Rating Count to have the strongest correlation with rank, followed closely by Installs, in either app store.

It’s with the other two factors—rating and trends—that the two stores show the greatest discrepancy. I’d hazard a guess to say that the App Store prioritizes growth trends over ratings, given the importance it places on an app’s current version and the wide distribution of ratings across the top charts. Google Play, on the other hand, seems to favor ratings, with an unwritten rule that apps just about have to have at least four stars to make the top 100 ranks.

Thus, we conclude our mad science with this final glimpse into what it takes to make the top charts in either store:

Weight of factors in the Apple App Store ranking algorithm

Rating Count > Installs > Trends > Rating

Weight of factors in the Google Play ranking algorithm

Rating Count > Installs > Rating > Trends


Again, we’re oversimplifying for the sake of keeping this post to a mere 3,000 words, but additional factors including keyword density and in-app engagement statistics continue to be strong indicators of ranks. They simply lie outside the scope of these studies.

I hope you found this deep-dive both helpful and interesting. Moving forward, I also hope to see ASOs conducting the same experiments that have brought SEO to the center stage, and encourage you to enhance or refute these findings with your own ASO mad science experiments.

Please share your thoughts in the comments below, and let’s deconstruct the ranking formula together, one experiment at a time.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 3 years ago from tracking.feedpress.it

​Inbound Lead Generation: eCommerce Marketing’s Missing Link

Posted by Everett

If eCommerce businesses hope to remain competitive with Amazon, eBay, big box brands, and other online retail juggernauts, they’ll need to learn how to conduct content marketing, lead generation, and contact nurturing as part of a comprehensive inbound marketing strategy.

First, I will discuss some of the ways most online retailers are approaching email from the bottom of the funnel upward, and why this needs to be turned around. Then we can explore how to go about doing this within the framework of “Inbound Marketing” for eCommerce businesses. Lastly, popular marketing automation and email marketing solutions are discussed in the context of inbound marketing for eCommerce.

Key differences between eCommerce and lead generation approaches to email

Different list growth strategies

Email acquisition sources differ greatly between lead gen. sites and online stores. The biggest driver of email acquisition for most eCommerce businesses are their shoppers, especially when the business doesn’t collect an email address for their contact database until the shopper provides it during the check-out process—possibly, not until the very end.

With most B2B/B2C lead gen. websites, the entire purpose of every landing page is to get visitors to submit a contact form or pick up the phone. Often, the price tag for their products or services is much higher than those of an eCommerce site or involves recurring payments. In other words, what they’re selling is more difficult to sell. People take longer to make those purchasing decisions. For this reason, leads—in the form of contact names and email addresses—are typically acquired and nurtured without having first become a customer.

Contacts vs. leads

Whether it is a B2B or B2C website, lead gen. contacts (called leads) are thought of as potential customers (clients, subscribers, patients) who need to be nurtured to the point of becoming “sales qualified,” meaning they’ll eventually get a sales call or email that attempts to convert them into a customer.

On the other hand, eCommerce contacts are often thought of primarily as existing customers to whom the marketing team can blast coupons and other offers by email.

Retail sites typically don’t capture leads at the top or middle of the funnel. Only once a shopper has checked out do they get added to the list. Historically, the buying cycle has been short enough that eCommerce sites could move many first-time visitors directly to customers in a single visit.
But this has changed.

Unless your brand is very strong—possibly a luxury brand or one with an offline retail presence—it is probably getting more difficult (i.e. expensive) to acquire new customers. At the same time, attrition rates are rising. Conversion optimization helps by converting more bottom of the funnel visitors. SEO helps drive more traffic into the site, but mostly for middle-of-funnel (category page) and bottom-of-funnel (product page) visitors who may not also be price/feature comparison shopping, or are unable to convert right away because of device or time limitations.

Even savvy retailers publishing content for shoppers higher up in the funnel, such as buyer guides and reviews, aren’t getting an email address and are missing a lot of opportunities because of it.

attract-convert-grow-funnel-inflow-2.jpg

Here’s a thought. If your eCommerce site has a 10 percent conversion rate, you’re doing pretty good by most standards. But what happened to the other 90 percent of those visitors? Will you have the opportunity to connect with them again? Even if you bump that up a few percentage points with retargeting, a lot of potential revenue has seeped out of your funnel without a trace.

I don’t mean to bash the eCommerce marketing community with generalizations. Most lead gen. sites aren’t doing anything spectacular either, and a lot of opportunity is missed all around.

There are many eCommerce brands doing great things marketing-wise. I’m a big fan of
Crutchfield for their educational resources targeting early-funnel traffic, and Neman Tools, Saddleback Leather and Feltraiger for the stories they tell. Amazon is hard to beat when it comes to scalability, product suggestions and user-generated reviews.

Sadly, most eCommerce sites (including many of the major household brands) still approach marketing in this way…

The ol’ bait n’ switch: promising value and delivering spam

Established eCommerce brands have gigantic mailing lists (compared with lead gen. counterparts), to whom they typically send out at least one email each week with “offers” like free shipping, $ off, buy-one-get-one, or % off their next purchase. The lists are minimally segmented, if at all. For example, there might be lists for repeat customers, best customers, unresponsive contacts, recent purchasers, shoppers with abandoned carts, purchases by category, etc.

The missing points of segmentation include which campaign resulted in the initial contact (sometimes referred to as a cohort) and—most importantly—the persona and buying cycle stage that best applies to each contact.

Online retailers often send frequent “blasts” to their entire list or to a few of the large segments mentioned above. Lack of segmentation means contacts aren’t receiving emails based on their interests, problems, or buying cycle stage, but instead, are receiving what they perceive as “generic” emails.

The result of these missing segments and the lack of overarching strategy looks something like this:

My, What a Big LIST You Have!

iStock_000017047747Medium.jpg

TIME reported in 2012 on stats from Responsys that the average online retailer sent out between five and six emails the week after Thanksgiving. Around the same time, the Wall Street Journal reported that the top 100 online retailers sent an average of 177 emails apiece to each of their contacts in 2011. Averaged out, that’s somewhere between three and four emails each week that the contact is receiving from these retailers.

The better to SPAM you with!

iStock_000016088853Medium.jpg

A 2014 whitepaper from SimpleRelevance titled
Email Fail: An In-Depth Evaluation of Top 20 Internet Retailer’s Email Personalization Capabilities (
PDF) found that, while 70 percent of marketing executives believed personalization was of “utmost importance” to their business…

“Only 17 percent of marketing leaders are going beyond basic transactional data to deliver personalized messages to consumers.”

Speaking of email overload, the same report found that some major online retailers sent ten or more emails per week!

simplerelevance-email-report-frequency.png

The result?

All too often, the eCommerce business will carry around big, dead lists of contacts who don’t even bother reading their emails anymore. They end up scrambling toward other channels to “drive more demand,” but because the real problems were never addressed, this ends up increasing new customer acquisition costs.

The cycle looks something like this:

  1. Spend a fortune driving in unqualified traffic from top-of-the-funnel channels
  2. Ignore the majority of those visitors who aren’t ready to purchase
  3. Capture email addresses only for the few visitors who made a purchase
  4. Spam the hell out of those people until they unsubscribe
  5. Spend a bunch more money trying to fill the top of the funnel with even more traffic

It’s like trying to fill your funnel with a bucket full of holes, some of them patched with band-aids.

The real problems

  1. Lack of a cohesive strategy across marketing channels
  2. Lack of a cohesive content strategy throughout all stages of the buying cycle
  3. Lack of persona, buying cycle stage, and cohort-based list segmentation to nurture contacts
  4. Lack of tracking across customer touchpoints and devices
  5. Lack of gated content that provides enough value to early-funnel visitors to get them to provide their email address

So, what’s the answer?

Inbound marketing allows online retailers to stop competing with Amazon and other “price focused” competitors with leaky funnels, and to instead focus on:

  1. Persona-based content marketing campaigns designed to acquire email addresses from high-quality leads (potential customers) by offering them the right content for each stage in their buyer’s journey
  2. A robust marketing automation system that makes true personalization scalable
  3. Automated contact nurturing emails triggered by certain events, such as viewing specific content, abandoning their shopping cart, adding items to their wish list or performing micro-conversions like downloading a look book
  4. Intelligent SMM campaigns that match visitors and customers with social accounts by email addresses, interests and demographics—as well as social monitoring
  5. Hyper-segmented email contact lists to support the marketing automation described above, as well as to provide highly-customized email and shopping experiences
  6. Cross-channel, closed loop reporting to provide a complete “omnichannel” view of online marketing efforts and how they assist offline conversions, if applicable

Each of these areas will be covered in more detail below. First, let’s take a quick step back and define what it is we’re talking about here.

Inbound marketing: a primer

A lot of people think “inbound marketing” is just a way some SEO agencies are re-cloaking themselves to avoid negative associations with search engine optimization. Others think it’s synonymous with “internet marketing.” I think it goes more like this:

Inbound marketing is to Internet marketing as SEO is to inbound marketing: One piece of a larger whole.

There are many ways to define inbound marketing. A cursory review of definitions from several trusted sources reveals some fundamental similarities :

Rand Fishkin

randfishkin.jpeg

“Inbound Marketing is the practice of earning traffic and attention for your business on the web rather than buying it or interrupting people to get it. Inbound channels include organic search, social media, community-building content, opt-in email, word of mouth, and many others. Inbound marketing is particularly powerful because it appeals to what people are looking for and what they want, rather than trying to get between them and what they’re trying to do with advertising. Inbound’s also powerful due to the flywheel-effect it creates. The more you invest in Inbound and the more success you have, the less effort required to earn additional benefit.”


Mike King

mikeking.jpeg

“Inbound Marketing is a collection of marketing activities that leverage remarkable content to penetrate earned media channels such as Organic Search, Social Media, Email, News and the Blogosphere with the goal of engaging prospects when they are specifically interested in what the brand has to offer.”

This quote is from 2012, and is still just as accurate today. It’s from an
Inbound.org comment thread where you can also see many other takes on it from the likes of Ian Lurie, Jonathon Colman, and Larry Kim.


Inflow

inflow-logo.jpeg

“Inbound Marketing is a multi-channel, buyer-centric approach to online marketing that involves attracting, engaging, nurturing and converting potential customers from wherever they are in the buying cycle.”

From Inflow’s
Inbound Services page.


Wikipedia

wikipedia.jpeg

“Inbound marketing refers to marketing activities that bring visitors in, rather than marketers having to go out to get prospects’ attention. Inbound marketing earns the attention of customers, makes the company easy to be found, and draws customers to the website by producing interesting content.”

From
Inbound Marketing – Wikipedia.


Larry-Kim.jpeg

Larry Kim

“Inbound marketing” refers to marketing activities that bring leads and customers in when they’re ready, rather than you having to go out and wave your arms to try to get people’s attention.”

Via
Marketing Land in 2013. You can also read more of Larry Kim’s interpretation, along with many others, on Inbound.org.


Hubspot

“Instead of the old outbound marketing methods of buying ads, buying email lists, and praying for leads, inbound marketing focuses on creating quality content that pulls people toward your company and product, where they naturally want to be.”

Via
Hubspot, a marketing automation platform for inbound marketing.

When everyone has their own definition of something, it helps to think about what they have in common, as opposed to how they differ. In the case of inbound, this includes concepts such as:

  • Pull (inbound) vs. push (interruption) marketing
  • “Earning” media coverage, search engine rankings, visitors and customers with outstanding content
  • Marketing across channels
  • Meeting potential customers where they are in their buyer’s journey

Running your first eCommerce inbound marketing campaign

Audience personas—priority no. 1

The magic happens when retailers begin to hyper-segment their list based on buyer personas and other relevant information (i.e. what they’ve downloaded, what they’ve purchased, if they abandoned their cart…). This all starts with audience research to develop personas. If you need more information on persona development, try these resources:

Once personas are developed, retailers should choose one on which to focus. A complete campaign strategy should be developed around this persona, with the aim of providing the “right value” to them at the “right time” in their buyer’s journey.

Ready to get started?

We’ve developed a quick-start guide in the form of a checklist for eCommerce marketers who want to get started with inbound marketing, which you can access below.

inbound ecommerce checklist

Hands-on experience running one campaign will teach you more about inbound marketing than a dozen articles. My advice: Just do one. You will make mistakes. Learn from them and get better each time.

Example inbound marketing campaign

Below is an example of how a hypothetical inbound marketing campaign might play out, assuming you have completed all of the steps in the checklist above. Imagine you handle marketing for an online retailer of high-end sporting goods.

AT Hiker Tommy campaign: From awareness to purchase

When segmenting visitors and customers for a “high-end sporting goods / camping retailer” based on the East Coast, you identified a segment of “Trail Hikers.” These are people with disposable income who care about high-quality gear, and will pay top dollar if they know it is tested and reliable. The top trail on their list of destinations is the
Appalachian Trail (AT).

Top of the Funnel: SEO & Strategic Content Marketing

at-tommy.jpg

Tommy’s first action is to do “top of the funnel” research from search engines (one reason why SEO is still so important to a complete inbound marketing strategy).

A search for “Hiking the Appalachian Trail” turns up your article titled “What NOT to Pack When Hiking the Appalachian Trail,” which lists common items that are bulky/heavy, and highlights slimmer, lighter alternatives from your online catalog.

It also highlights the difference between cheap gear and the kind that won’t let you down on your 2,181 mile journey through the wilderness of Appalachia, something you learned was important to Tommy when developing his persona. This allows you to get the company’s value proposition of “tested, high-end, quality gear only” in front of readers very early in their buyer’s journey—important if you want to differentiate your site from all of the retailers racing Amazon to the bottom of their profit margins.

So far you have yet to make “contact” with AT Hiker Tommy. The key to “acquiring” a contact before the potential customer is ready to make a purchase is to provide something of value to that specific type of person (i.e. their persona) at that specific point in time (i.e. their buying cycle stage).

In this case, we need to provide value to AT Hiker Tommy while he is getting started on his research about hiking the Appalachian Trail. He has an idea of what gear not to bring, as well as some lighter, higher-end options sold on your site. At this point, however, he is not ready to buy anything without researching the trail more. This is where retailers lose most of their potential customers. But not you. Not this time…

Middle of the funnel: Content offers, personalization, social & email nurturing

at-hiker-ebook.png

On the “What NOT to Pack When Hiking the Appalachian Trail” article (and probably several others), you have placed a call-to-action (CTA) in the form of a button that offers something like:

Download our Free 122-page Guide to Hiking the Appalachian Trail

This takes Tommy to a landing page showcasing some of the quotes from the book, and highlighting things like:

“We interviewed over 50 ‘thru-hikers’ who completed the AT and have curated and organized the best first-hand tips, along with our own significant research to develop a free eBook that should answer most of your questions about the trail.”

By entering their email address potential customers agree to allow you to send them the free PDF downloadable guide to hiking the AT, and other relevant information about hiking.

An automated email is sent with a link to the downloadable PDF guide, and several other useful content links, such as “The AT Hiker’s Guide to Gear for the Appalachian Trail”—content designed to move Tommy further toward the purchase of hiking gear.

If Tommy still has not made a purchase within the next two weeks, another automated email is sent asking for feedback about the PDF guide (providing the link again), and to again provide the link to the “AT Hiker’s Guide to Gear…” along with a compelling offer just for him, perhaps “Get 20% off your first hiking gear purchase, and a free wall map of the AT!”

Having Tommy’s email address also allows you to hyper-target him on social channels, while also leveraging his initial visit to initiate retargeting efforts.

Bottom of the funnel: Email nurturing & strategic, segmented offers

Eventually Tommy makes a purchase, and he may or may not receive further emails related to this campaign, such as post-purchase emails for reviews, up-sells and cross-sells.

Upon checkout, Tommy checked the box to opt-in to weekly promotional emails. He is now on multiple lists. Your marketing automation system will automatically update Tommy’s status from “Contact” or lead, to “Customer” and potentially remove or deactivate him from the marketing automation system database. This is accomplished either by default integration features, or with the help of integration tools like
Zapier and IFTTT.

You have now nurtured Tommy from his initial research on Google all the way to his first purchase without ever having sent a spammy newsletter email full of irrelevant coupons and other offers. However, now that he is a loyal customer, Tommy finds value in these bottom-of-funnel email offers.

And this is just the start

Every inbound marketing campaign will have its own mix of appropriate channels. This post has focused mostly on email because acquiring the initial permission to contact the person is what fuels most of the other features offered by marketing automation systems, including:

  • Personalization of offers and other content on the site.
  • Knowing exactly which visitors are interacting on social media
  • Knowing where visitors and social followers are in the buying cycle and which persona best represents them, among other things.
  • Smart forms that don’t require visitors to put in the same information twice and allow you to build out more detailed profiles of them over time.
  • Blogging platforms that tie into email and marketing automation systems
  • Analytics data that isn’t blocked by Google and is tied directly to real people.
  • Closed-loop reporting that integrates with call-tracking and Google’s Data Import tool
  • Up-sell, cross-sell, and abandoned cart reclamation features
Three more things…
  1. If you can figure out a way to get Tommy to “log in” when he comes to your site, the personalization possibilities are nearly limitless.
  2. The persona above is based on a real customer segment. I named it after my friend Tommy Bailey, who actually did write the eBook
    Guide to Hiking the Appalachian Trail, featured in the image above.
  3. This Moz post is part of an inbound marketing campaign targeting eCommerce marketers, a segment Inflow identified while building out our own personas. Our hope, and the whole point of inbound marketing, is that it provides value to you.

Current state of the inbound marketing industry

Inbound has, for the the most part, been applied to businesses in which the website objective is to generate leads for a sales team to follow-up with and close the deal. An examination of various marketing automation platforms—a key component of scalable inbound marketing programs—highlights this issue.

Popular marketing automation systems

Most of the major marketing automation systems can be be used very effectively as the backbone of an inbound marketing program for eCommerce businesses. However, only one of them (Silverpop) has made significant efforts to court the eCommerce market with content and out-of-box features. The next closest thing is Hubspot, so let’s start with those two:

Silverpop – an IBMⓇ Company

silver-pop.jpeg

Unlike the other platforms below, right out of the box Silverpop allows marketers to tap into very specific behaviors, including the items purchased or left in the cart.

You can easily segment based on metrics like the Recency, Frequency and Monetary Value (RFM) of purchases:

silverpop triggered campaigns

You can automate personalized shopping cart abandonment recovery emails:

silverpop cart abandonment recovery

You can integrate with many leading brands offering complementary services, including: couponing, CRM, analytics, email deliverability enhancement, social and most major eCommerce platforms.

What you can’t do with Silverpop is blog, find pricing info on their website, get a free trial on their website or have a modern-looking user experience. Sounds like an IBMⓇ company, doesn’t it?

HubSpot

Out of all the marketing automation platforms on this list, HubSpot is the most capable of handling “inbound marketing” campaigns from start to finish. This should come as no surprise, given the phrase is credited to
Brian Halligan, HubSpot’s co-founder and CEO.

While they don’t specifically cater to eCommerce marketing needs with the same gusto they give to lead gen. marketing, HubSpot does have
an eCommerce landing page and a demo landing page for eCommerce leads, which suggests that their own personas include eCommerce marketers. Additionally, there is some good content on their blog written specifically for eCommerce.

HubSpot has allowed some key partners to develop plug-ins that integrate with leading eCommerce platforms. This approach works well with curation, and is not dissimilar to how Google handles Android or Apple handles their approved apps.

magento and hubspot

The
Magento Connector for HubSpot, which costs $80 per month, was developed by EYEMAGiNE, a creative design firm for eCommerce websites. A similar HubSpot-approved third-party integration is on the way for Bigcommerce.

Another eCommerce integration for Hubspot is a Shopify plug-in called
HubShoply, which was developed by Groove Commerce and costs $100 per month.

You can also use HubSpot’s native integration capabilities with
Zapier to sync data between HubSpot and most major eCommerce SaaS vendors, including the ones above, as well as WooCommerce, Shopify, PayPal, Infusionsoft and more. However, the same could be said of some of the other marketing automation platforms, and using these third-party solutions can sometimes feel like fitting a square peg into a round hole.

HubSpot can and does handle inbound marketing for eCommerce websites. All of the features are there, or easy enough to integrate. But let’s put some pressure on them to up their eCommerce game even more. The least they can do is put an eCommerce link in the footer:

hubspot menus

Despite the lack of clear navigation to their eCommerce content, HubSpot seems to be paying more attention to the needs of eCommerce businesses than the rest of the platforms below.

Marketo

Nothing about Marketo’s in-house marketing strategy suggests “Ecommerce Director Bob” might be one of their personas. The description for each of
their marketing automation packages (from Spark to Enterprise) mentions that it is “for B2B” websites.

marketo screenshot

Driving Sales could apply to a retail business so I clicked on the link. Nope. Clearly, this is for lead generation.

marketo marketing automation

Passing “purchase-ready leads” over to your “sales reps” is a good example of the type of language used throughout the site.

Make no mistake, Marketo is a top-notch marketing automation platform. Powerful and clean, it’s a shame they don’t launch a full-scale eCommerce version of their core product. In the meantime, there’s the
Magento Integration for Marketo Plug-in developed by an agency out of Australia called Hoosh Marketing.

magento marketo integration

I’ve never used this integration, but it’s part of Marketo’s
LaunchPoint directory, which I imagine is vetted, and Hoosh seems like a reputable agency.

Their
pricing page is blurred and gated, which is annoying, but perhaps they’ll come on here and tell everyone how much they charge.

marketo pricing page

As with all others except Silverpop, the Marketo navigation provides no easy paths to landing pages that would appeal to “Ecommerce Director Bob.”

Pardot

This option is a
SalesForce product, so—though I’ve never had the opportunity to use it—I can imagine Pardot is heavy on B2B/Sales and very light on B2C marketing for retail sites.

The hero image on their homepage says as much.

pardot tagline

pardot marketing automationAgain, no mention of eCommerce or retail, but clear navigation to lead gen and sales.

Eloqua / OMC

eloqua-logo.jpeg

Eloqua, now part of the Oracle Marketing Cloud (OMC), has a landing page
for the retail industry, on which they proclaim:

“Retail marketers know that the path to lifelong loyalty and increased revenue goes through building and growing deep client relationships.”

Since when did retail marketers start calling customers clients?

eloqua integration

The Integration tab on OMC’s “…Retail.html” page helpfully informs eCommerce marketers that their sales teams can continue using CRM systems like SalesForce and Microsoft Dynamics but doesn’t mention anything about eCommerce platforms and other SaaS solutions for eCommerce businesses.

Others

There are many other players in this arena. Though I haven’t used them yet, three I would love to try out are
SharpSpring, Hatchbuck and Act-On. But none of them appear to be any better suited to handle the concerns of eCommerce websites.

Where there’s a gap, there’s opportunity

The purpose of the section above wasn’t to highlight deficiencies in the tools themselves, but to illustrate a gap in who they are being marketed to and developed for.

So far, most of your eCommerce competitors probably aren’t using tools like these because they are not marketed to by the platforms, and don’t know how to apply the technology to online retail in a way that would justify the expense.

The thing is, a tool is just a tool

The
key concepts behind inbound marketing apply just as much to online retail as they do to lead generation.

In order to “do inbound marketing,” a marketing automation system isn’t even strictly necessary (in theory). They just help make the activities scalable for most businesses.

They also bring a lot of different marketing activities under one roof, which saves time and allows data to be moved and utilized between channels and systems. For example, what a customer is doing on social could influence the emails they receive, or content they see on your site. Here are some potential uses for most of the platforms above:

Automated marketing uses

  • Personalized abandoned cart emails
  • Post-purchase nurturing/reorder marketing
  • Welcome campaigns for the newsletter (other free offer) signups
  • Winback campaigns
  • Lead-nurturing email campaigns for cohorts and persona-based segments

Content marketing uses

  • Optimized, strategic blogging platforms, and frameworks
  • Landing pages for pre-transactional/educational offers or contests
  • Social media reporting, monitoring, and publishing
  • Personalization of content and user experience

Reporting uses

  • Revenue reporting (by segment or marketing action)
  • Attribution reporting (by campaign or content)

Assuming you don’t have the budget for a marketing automation system, but already have a good email marketing platform, you can still get started with inbound marketing. Eventually, however, you may want to graduate to a dedicated marketing automation solution to reap the full benefits.

Email marketing platforms

Most of the marketing automation systems claim to replace your email marketing platform, while many email marketing platforms claim to be marketing automation systems. Neither statement is completely accurate.

Marketing automation systems, especially those created specifically for the type of “inbound” campaigns described above, provide a powerful suite of tools all in one place. On the other hand, dedicated email platforms tend to offer “email marketing” features that are better, and more robust, than those offered by marketing automation systems. Some of them are also considerably cheaper—such as
MailChimp—but those are often light on even the email-specific features for eCommerce.

A different type of campaign

Email “blasts” in the form of B.O.G.O., $10 off or free shipping offers can still be very successful in generating incremental revenue boosts — especially for existing customers and seasonal campaigns.

The conversion rate on a 20% off coupon sent to existing customers, for instance, would likely pulverize the conversion rate of an email going out to middle-of-funnel contacts with a link to content (at least with how CR is currently being calculated by email platforms).

Inbound marketing campaigns can also offer quick wins, but they tend to focus mostly on non-customers after the first segmentation campaign (a campaign for the purpose of segmenting your list, such as an incentivised survey). This means lower initial conversion rates, but long-term success with the growth of new customers.

Here’s a good bet if works with your budget: Rely on a marketing automation system for inbound marketing to drive new customer acquisition from initial visit to first purchase, while using a good email marketing platform to run your “promotional email” campaigns to existing customers.

If you have to choose one or the other, I’d go with a robust marketing automation system.

Some of the most popular email platforms used by eCommerce businesses, with a focus on how they handle various Inbound Marketing activities, include:

Bronto

bronto.jpeg

This platform builds in features like abandoned cart recovery, advanced email list segmentation and automated email workflows that nurture contacts over time.

They also offer a host of eCommerce-related
features that you just don’t get with marketing automation systems like Hubspot and Marketo. This includes easy integration with a variety of eCommerce platforms like ATG, Demandware, Magento, Miva Merchant, Mozu and MarketLive, not to mention apps for coupons, product recommendations, social shopping and more. Integration with enterprise eCommerce platforms is one reason why Bronto is seen over and over again when browsing the Internet Retailer Top 500 reports.

On the other hand, Bronto—like the rest of these email platforms—doesn’t have many of the features that assist with content marketing outside of emails. As an “inbound” marketing automation system, it is incomplete because it focuses almost solely on one channel: email.

Vertical Response

verticalresponse.jpeg

Another juggernaut in eCommerce email marketing platforms, Vertical Response, has even fewer inbound-related features than Bronto, though it is a good email platform with a free version that includes up to 1,000 contacts and 4,000 emails per month (i.e. 4 emails to a full list of 1,000).

Oracle Marketing Cloud (OMC)

Responsys (the email platform), like Eloqua (the marketing automation system) was gobbled up by Oracle and is now part of their “Marketing Cloud.”

It has been my experience that when a big technology firm like IBM or Oracle buys a great product, it isn’t “great” for the users. Time will tell.

Listrak

listrak.jpeg

Out of the established email platforms for eCommerce, Listrak may do the best job at positioning themselves as a full inbound marketing platform.

Listrak’s value proposition is that they’re an “Omnichannel” solution. Everything is all in one “Single, Integrated Digital Marketing Platform for Retailers.” The homepage image promises solutions for Email, Mobile, Social, Web and In-Store channels.

I haven’t had the opportunity to work with Listrak yet, but would love to hear feedback in the comments on whether they could handle the kind of persona-based content marketing and automated email nurturing campaigns described in the example campaign above.

Key takeaways

Congratulations for making this far! Here are a few things I hope you’ll take away from this post:

  • There is a lot of opportunity right now for eCommerce sites to take advantage of marketing automation systems and robust email marketing platforms as the infrastructure to run comprehensive inbound marketing campaigns.
  • There is a lot of opportunity right now for marketing automation systems to develop content and build in eCommerce-specific features to lure eCommerce marketers.
  • Inbound marketing isn’t email marketing, although email is an important piece to inbound because it allows you to begin forming lasting relationships with potential customers much earlier in the buying cycle.
  • To see the full benefits of inbound marketing, you should focus on getting the right content to the right person at the right time in their shopping journey. This necessarily involves several different channels, including search, social and email. One of the many benefits of marketing automation systems is their ability to track your efforts here across marketing channels, devices and touch-points.

Tools, resources, and further reading

There is a lot of great content on the topic of Inbound marketing, some of which has greatly informed my own understanding and approach. Here are a few resources you may find useful as well.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 3 years ago from tracking.feedpress.it

Everything You Need to Know About Mobile App Search

Posted by Justin_Briggs

Mobile isn’t the future. It’s the present. Mobile apps are not only changing how we interact with devices and websites, they’re changing the way we search. Companies are creating meaningful experiences on mobile-friendly websites and apps, which in turn create new opportunities to get in front of users.

I’d like to explore the growth of mobile app search and its current opportunities to gain visibility and drive engagement.

Rise of mobile app search

The growth of mobile device usage has driven a significant lift in app-related searches. This is giving rise to mobile app search as a vertical within traditional universal search.

While it has been clear for some time that mobile search is important, that importance has been more heavily emphasized by Google recently, as they continue to push
mobile-friendly labels in SERPs, and are likely increasing mobile-friendliness’s weight as a ranking factor.

The future of search marketing involves mobile, and it will not be limited to optimizing HTML webpages, creating responsive designs, and optimizing UX. Mobile SEO is a world where apps, knowledge graph, and conversational search are front and center.

For the
top 10 leading properties online, 34% of visitors are mobile-only (comScore data), and, anecdotally, we’re seeing similar numbers with our clients, if not more.

Mobile device and app growth

It’s also worth noting that
72% of mobile engagement relies on apps vs. on browsers. Looking at teen usage, apps are increasingly dominant. Additionally,
55% of teens use voice search more than once per day

If you haven’t read it, grab some coffee and read
A Teenagers View on Social Media, which is written by a 19-year old who gives his perspective of online behavior. Reading between the lines shows a number of subtle shifts in behavior. I noticed that every time I expected him say website, he said application. In fact, he referenced application 15 times, and it is the primary way he describes social networks.

This means that one of the fasting growing segments of mobile users cannot be marketed to by optimizing HTML webpages alone, requiring search marketers to expand their skills into app optimization.

The mobile app pack

This shift is giving rise to the mobile app pack and app search results, which are triggered on searches from mobile devices in instances of high mobile app intent. Think of these as being similar to local search results. Considering
mobile searcher behavior, these listings dominate user attention.

Mobile app search results and mobile app pack

As with local search, mobile app search can reorder traditional results, completely push them down, or integrate app listings with traditional web results.

You can test on your desktop using a
user-agent switcher, or by searching on your iOS or Android device. 

There are slight differences between iPhone and Android mobile app results:

iOS and Android mobile search result listing

From what I’ve seen, mobile app listings trigger more frequently, and with more results, on Android search results when compared to iOS. Additionally, iOS mobile app listings are represented as a traditional website result listing, while mobile app listings on Android are more integrated.

Some of the differences also come from the differences in app submission guidelines on the two major stores, the Apple App Store and Google Play.

Overview of differences in mobile app results

  1. Title – Google uses the app listing page’s HTML title (which is the app’s title). iOS app titles can exceed 55-62 characters, which causes wrapping and title truncation like a traditional result. Android app title requirements are shorter, so titles are typically shorter on Android mobile app listings.
  2. URL – iOS mobile app listings display the iTunes URL to the App Store as part of the search result.
  3. Icon – iOS icons are square and Android icons have rounded corners.
  4. Design – Android results stand out more, with an “Apps” headline above the pack and a link to Google Play at the end.
  5. App store content – The other differences show up in the copy, ratings, and reviews on each app store.

Ranking in mobile app search results

Ranking in mobile app search results is a
combination of App Store Optimization (ASO) and traditional SEO. The on-page factors are dependent upon your app listing, so optimization starts with having solid ASO. If you’re not familiar with ASO, it’s the process of optimizing your app listing for internal app store search.

Basics of ASO

Ranking in the Apple App Store and in Google Play is driven by two primary factors: keyword alignment and app performance. Text fields in the app store listing, such as title, description, and keyword list, align the app with a particular set of keywords. Performance metrics including download velocity, app ratings, and reviews determine how well the app will rank for each of those keywords. (Additionally, the Google Play algorithm may include external, web-based performance metrics like citations and links as ranking factors.)

App store ranking factors

Mobile app listing optimization

While I won’t explore ASO in-depth here, as it’s very similar to traditional SEO,
optimizing app listings is primarily a function of keyword targeting.

Tools like
Sensor Tower, MobileDevHQ, and App Annie can help you with mobile app keyword research. However, keep in mind that mobile app search listings show up in universal search, so it’s important to leverage traditional keyword research tools like the AdWords Tool or Google Trends.

While there are similarities with ASO, optimizing for these mobile app search listings on the web has some slight differences.

Differences between ASO & mobile app SEO targeting

  1. Titles – While the Apple App Store allows relatively long titles, they are limited to the preview length in organic search. Titles should be optimized with Google search in mind, in addition to optimizing for the app store. Additionally, several apps aggressively target keywords in their app title, but caution should be used as spamming keywords could influence app performance in Google.
  2. Description – The app description on the App Store may not be a factor in internal search, but it will impact external app search results. Leverage keyword targeting best practices when writing your iOS app description, as well as your Android app description.
  3. Device and platform keywords – When targeting for app store search, it is not as important to target terms related to the OS or device. However, these terms can help visibility in external search. Include device and OS terms, such as Android, Samsung Note, iOS, iPad, and iPhone.

App performance optimization

Outside of content optimization, Google looks at the performance of the app. On the Android side, they have access to the data, but for iOS they have to rely on publicly available information.

App performance factors

  • Number of ratings
  • Average rating score
  • Content and sentiment analysis of reviews
  • Downloads / installs
  • Engagement and retention
  • Internal links on app store

For iOS, the primary public metrics are ratings and reviews. However, app performance can be inferred using the App Store’s ranking charts and search results, which can be leveraged as proxies of these performance metrics.


The following objectives will have the greatest influence on your mobile app search ranking:

  1. Increase your average rating number
  2. Increase your number of ratings
  3. Increase downloads

For app ratings and reviews, leverage platforms like
Apptentive to improve your ratings. They are very effective at driving positive ratings. Additionally, paid tactics are a great way to drive install volume and are one area where paid budget capacity could directly influence organic results in Google. Anecdotally, both app stores use rating numbers (typically above or below 4 stars) to make decisions around promoting an app, either through merchandising spots or co-branded campaigns. I suspect this is being used as a general cut-off for what is displayed in universal results. Increasing your rating above 4 stars should improve the likelihood you’ll appear in mobile app search results.

Lastly, think of merchandising and rankings in terms of 
internal linking structures. The more visible you are inside of the app store, the more visibility you have in external search.

App web performance optimization

Lastly, we’re talking Google rankings, so factors like links, citations, and social shares matter. You should be
conducting content marketing, PR, and outreach for your app. Focus on merchandising your app on your own site, as well as increasing coverage of your app (linking to the app store page). The basics of link optimization apply here.

App indexation – drive app engagement

Application search is not limited to driving installs via app search results. With app indexing, you can leverage your desktop/mobile website visibility in organic search to drive engagement with those who have your app installed. Google can discover and expose content deep inside your app directly in search results. This means that when a user clicks on your website in organic search, it can open your app directly, taking them to that exact piece of content in your app, instead of opening your website.

App indexation fundamentally changes technical SEO, extending SEO from server and webpage setup to the setup and optimization of applications.

App indexation on Google

This also fundamentally changes search. Your most avid and engaged user may choose to no longer visit your website. For example, on my Note 4, when I click a link to a site of a brand that I have an app installed for, Google gives me the option not only to open in the app, but to set opening the app as a default behavior.

If a user chooses to open your site in your app, they may never visit your site from organic search again.

App indexation is currently limited to Android devices, but there is evidence to suggest that it’s already in the works and is
soon to be released on iOS devices. There have been hints for some time, but markup is showing up in the wild suggesting that Google is actively working with Apple and select brands to develop iOS app indexing.

URI optimization for apps

The first step in creating an indexable app is to set up your app to support deep links. Deep links are URIs that are understood by your app and will open up a specific piece of content. They are effectively URLs for applications.

Once this URI is supported, a user can be sent to deep content in the app. These can be discovered as alternates to your desktop site’s URLs, similar to how
separate-site mobile sites are defined as alternate URLs for the desktop site. In instances of proper context (on an Android device with the app installed), Google can direct a user to the app instead of the website.

Setting this up requires working with your app developer to implement changes inside the app as well as working with your website developers to add references on your desktop site.

Adding intent filters

Android has
documented the technical setup of deep links in detail, but it starts with setting up intent filters in an app’s Android manifest file. This is done with the following code.

<activity android:name="com.example.android.GizmosActivity"
android:label="@string/title_gizmos" >
<intent-filter android:label="@string/filter_title_viewgizmos">
<action android:name="android.intent.action.VIEW" />
<data android:scheme="http"
android:host="example.com"
android:pathPrefix="/gizmos" />
<category android:name="android.intent.category.DEFAULT" />
<category android:name="android.intent.category.BROWSABLE" />
</intent-filter>
</activity>

This dictates the technical optimization of your app URIs for app indexation and defines the elements used in the URI example above.

  • The <intent-filter> element should be added for activities that should be launchable from search results.
  • The <action> element specifies the ACTION_VIEW intent action so that the intent filter can be reached from Google Search.
  • The <data> tag represents a URI format that resolves to the activity. At minimum, the <data> tag must include the android:scheme attribute.
  • Include the BROWSABLE category. The BROWSABLE category is required in order for the intent filter to be accessible from a web browser. Without it, clicking a link in a browser cannot resolve to your app. The DEFAULT category is optional, but recommended. Without this category, the activity can be started only with an explicit intent, using your app component name.

Testing deep links

Google has created tools to help test your deep link setup. You can use
Google’s Deep Link Test Tool to test your app behavior with deep links on your phone. Additionally, you can create an HTML page with an intent:// link in it.

For example
:

<a href="intent://example.com/page-1#Intent;scheme=http;package=com.example.android;end;"> <a href="http://example.com/page-1">http://example.com/page-1></a>

This link would open up deep content inside the app from the HTML page.

App URI crawl and discovery

Once an app has deep link functionality, the next step is to
ensure that Google can discover these URIs as part of its traditional desktop crawling.

Ways to get apps crawled

  1. Rel=”alternate” in HTML head
  2. ViewAction with Schema.org
  3. Rel=”alternate” in XML Sitemap

Implementing all three will create clear signals, but at minimum you should add the rel=”alternate” tag to the HTML head of your webpages.

Effectively, think of the app URI as being similar to a mobile site URL when
setting up a separate-site mobile site for SEO. The mobile deep link is an alternative way to view a webpage on your site. You map a piece of content on your site to a corresponding piece of content inside the app.

Before you get started, be sure to
verify your website and app following the guidelines here. This will verify your app in Google Play Developer Console and Google Webmaster Tools.

#1: Rel=”alternate” in HTML head

On an example page, such as example.com/page-1, you would add the following code to the head of the document. Again, very similar to separate-site mobile optimization.

<html>
<head> 
... 
<link rel="alternate" href="android-app://com.example.android/http/example.com/page-1" /> 
...
</head>
<body>
</body>
#2: ViewAction with Schema.org

Additionally, you can reference the deep link using Schema.org and JSON by using a 
ViewAction.

<script type="application/ld+json"> 
{ 
"@context": "http://schema.org", 
"@type": "WebPage", 
"@id": "http://example.com/gizmos", 
"potentialAction": { 
"@type": "ViewAction", 
"target": "android-app://com.example.android/http/example.com/gizmos" 
} 
} 
</script>
#3 Rel=”alternate” in XML sitemap

Lastly, you can reference the alternate URL in your XML Sitemaps, similar to using the rel=”alternate” for mobile sites.

<?xml version="1.0" encoding="UTF-8" ?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml"> 
<url> 
<loc>http://example.com/page-1</loc> 
<xhtml:link rel="alternate" href="android-app://com.example.android/http/example.com/page-1" /> 
</url> 
... 
</urlset>

Once these are in place, Google can discover the app URI and provide your app as an alternative way to view content found in search.

Bot control and robots noindex for apps

There may be instances where there is content within your app that you do not want indexed in Google. A good example of this might be content or functionality that is built out on your site, but has not yet been developed in your app. This would create an inferior experience for users. The good news is that we can block indexation with a few updates to the app.

First, add the following to your app resource directory (res/xml/noindex.xml).

<?xml version="1.0" encoding="utf-8"?> 
<search-engine xmlns:android="http://schemas.android.com/apk/res/android"> 
<noindex uri="http://example.com/gizmos/hidden_uri"/> 
<noindex uriPrefix="http://example.com/gizmos/hidden_prefix"/> 
<noindex uri="gizmos://hidden_path"/> 
<noindex uriPrefix="gizmos://hidden_prefix"/> 
</search-engine>

As you can see above, you can block an individual URI or define a URI prefix to block entire folders.

Once this has been added, you need to update the AndroidManifest.xml file to denote that you’re using noindex.html to block indexation.

<manifest xmlns:android="http://schemas.android.com/apk/res/android" package="com.example.android.Gizmos"> 
<application> 
<activity android:name="com.example.android.GizmosActivity" android:label="@string/title_gizmos" > 
<intent-filter android:label="@string/filter_title_viewgizmos"> 
<action android:name="android.intent.action.VIEW"/> 
... 
</activity> 
<meta-data android:name="search-engine" android:resource="@xml/noindex"/> 
</application> 
<uses-permission android:name="android.permission.INTERNET"/> 
</manifest>

App indexing API to drive re-engagement

In addition to URI discovery via desktop crawl, your mobile app can integrate
Google’s App Indexing API, which communicates with Google when users take actions inside your app. This sends information to Google about what users are viewing in the app. This is an additional method for deep link discovery and has some benefits.

The primary benefit is the ability to appear in
autocomplete. This can drive re-engagement through Google Search query autocompletions, providing access to inner pages in apps.

App auto suggest

Again, be sure to
verify your website and app following the guidelines here. This will verify your app in Google Play Developer Console and Google Webmaster Tools.

App actions with knowledge graph

The next, and most exciting, evolution of search is leveraging actions. These will be powerful when
combined with voice search, allowing search engines to take action on behalf of users, turning spoken language into executed actions.

App indexing allows you to take advantage of actions by allowing Google to not only launch an app, but execute actions inside of the app. Order me a pizza? Schedule my meeting? Drive my car? Ok, Google.

App actions work via entity detection and the application of the knowledge graph, allowing search engines to understand actions, words, ideas and objects. With that understanding, they can build an action graph that allows them to define common actions by entity type.

Here is a list of actions currently supported by Schema.org

For example, the PlayAction could be used to play a song in a music app. This can be achieve with the following markup.

<script type="application/ld+json">
{
"@context": "http://schema.org",
"@type": "MusicGroup",
"name": "Weezer", "potentialAction": {
"@type": "ListenAction",
"target": "android-app://com.spotify.music/http/we.../listen"
}
}
</script>
Once this is implemented, these app actions can begin to appear in search results and knowledge graph.

deep links in app search results

Overview of mobile app search opportunities

In summary, there are five primary ways to increase visibility and engagement for your mobile app in traditional organic search efforts.

Mobile apps in search results

The growth of mobile search is transforming how we define technical SEO, moving beyond front-end and back-end optimization of websites into the realm of structured data and application development. As app indexing expands to include iOS, I suspect the possibilities and opportunities associated with indexing applications, and their corresponding actions, to grow extensively. 

For those with Android apps, app indexing is a potential leapfrog style opportunity to get ahead of competitors who are dominant in traditional desktop search. Those with iOS devices should start by optimizing their app listings, while preparing to implement indexation, as I suspect it’ll be released for iOS this year.

Have you been leveraging traditional organic search to drive visibility and engagement for apps? Share your experiences in the comments below.

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