5 Google Business Profile Tweaks To Improve Foot Traffic

Posted by MiriamEllis

Your agency recommends all kinds of useful tactics to help improve the local SEO for your local business clients, but how many of those techniques are leveraging Google Business Profile (GBP) to attract as many walk-ins as possible?

Today, I’m sharing five GBP tweaks worthy of implementation to help turn digital traffic into foot traffic. I’ve ordered them from easiest to hardest, but as you’ll see, even the more difficult ones aren’t actually very daunting — all the more reason to try them out!

1) Answer Google Q&A quickly (they might be leads)

Difficulty level: Easy

If you have automotive industry clients, chances you’re familiar with Greg Gifford from DealerOn. At a recent local search conference, Greg shared that 40 percent of the Google Q&A questions his clients receive are actually leads

40 percent!

Here’s what that looks like in Google’s Q&A:

It looks like Coast Nissan has a customer who is ready to walk through the door if they receive an answer. But as you can see, the question has gone unanswered. Note, too, that four people have thumbed the question up, which signifies a shared interest in a potential answer, but it’s still not making it onto the radar of this particular dealership.

Nearly all verticals could have overlooked leads sitting in their GBPs — from questions about dietary options at a restaurant, to whether a retailer stocks a product, to queries about ADA compliance or available parking. Every ask represents a possible lead, and in a competitive retail landscape, who can afford to ignore such an opportunity?

The easiest way for Google My Business (GMB) listing owners and managers to get notified of new questions is via the Google Maps App, as notifications are not yet part of the main GMB dashboard. This will help you catch questions as they arise. The faster your client responds to incoming queries, the better their chances of winning the foot traffic.

2) Post about your proximity to nearby major attractions

Difficulty level: Easy

Imagine someone has just spent the morning at a museum, a landmark, park, or theatre. After exploring, perhaps they want to go to lunch, go apparel shopping, find a gas station, or a bookstore near them. A well-positioned Google Post, like the one below, can guide them right to your client’s door:

This could become an especially strong draw for foot traffic if Google expands its experiment of showing Posts’ snippets not just in the Business Profile and Local Finder, but within local packs:

Posting is so easy — there’s no reason not to give it a try. Need help getting your client started? Here’s Google’s intro and here’s an interview I did last year with Joel Headley on using Google Posts to boost bookings and conversions.

3) Turn GBPs into storefronts

Difficulty level: Easy for retailers

With a little help from SWIS and Pointy, your retail clients’ GBPs can become the storefront window that beckons in highly-converting foot traffic. Your client’s “See What’s In Store inventory” appears within the Business Profile, letting customers know the business has the exact merchandise they’re looking for:

Pointy is Google’s launch partner for this game-changing GBP feature. I recently interviewed CEO Mark Cummins regarding the ultra-simple Pointy device which makes it a snap for nearly all retailers to instantly bring their inventory online — without the fuss of traditional e-commerce systems and at a truly nominal cost.

I’ll reiterate my prediction that SWIS is the “next big thing” in local, and when last I spoke with Mark, one percent of all US retailers had already adopted his product. Encourage your retail clients to sign up and give them an amazing competitive edge on driving foot traffic!

4) Make your profile pic a selfie hotspot

Difficulty level: Medium (feasible for many storefronts)

When a client has a physical premise (and community ordinances permit it), an exterior mural can turn through traffic into foot traffic — it also helps to convert Instagram selfie-takers into customers. As I mentioned in a recent blog post, a modest investment in this strategy could appeal to the 43–58 percent of survey respondents who are swayed to shop in locations that are visually appealing.

If a large outdoor mural isn’t possible, there’s plenty of inspiration for smaller indoor murals, here

Once the client has made the investment in providing a cultural experience for the community, they can try experimenting with getting the artwork placed as the cover photo on their GBP — anyone looking at a set of competitors in a given area will see this appealing, extra reason to choose their business over others.

Mark my words, local search marketers: We are on the verge of seeing Americans reject the constricted label of “consumer” in a quest for a more holistic view of themselves as whole persons. Local businesses that integrate art, culture, and community life into their business models will be well-placed to answer what, in my view, is a growing desire for authentic human experiences. As a local search marketer, myself, this is a topic I plan to explore further this year.

5) Putting time on your side

Difficulty level: Medium (feasible for willing clients)

Here’s a pet peeve of mine: businesses that serve working people but are only open 9–5. How can your client’s foot traffic achieve optimum levels if their doors are only open when everybody is at work?

So, here’s the task: Do a quick audit of the hours posted on the GBPs of your client’s direct competitors. For example, I found three craft shops in one small city with these hours:

Guess which competitor is getting all of the business after 6 PM every day of the week, when most people are off work and able to shop?

Now, it may well be that some of your smaller clients are already working as many hours as they can, but have they explored whether their hours are actually ideal for their customers’ needs and whether any time slots aren’t being filled in the community by their competitors? What if, instead of operating under the traditional 9–5, your client switched to 11–7, since no other competitor in town is open after 5 PM? It’s the same number of hours and your client would benefit from getting all the foot traffic of the 9–5-ers.

Alternatively, instead of closing on Saturdays, the business closed on Mondays — perhaps this is the slowest of their weekdays? Being open on the weekend could mean that the average worker can now access said business and become a customer.

It will take some openness to change, but if a business agrees to implementation, don’t forget to update the GMB hours and push out the new hours to the major citation platforms via a service like Moz Local

Your turn to add your best GMB moves

I hope you’ll take some of these simple GBP tips to an upcoming client meeting. And if they decide to forge ahead with your tips, be sure to monitor the outcomes! How great if a simple audit of hours turned into a foot traffic win for your client? 

 In the meantime, if you have any favorite techniques, hacks, or easy GMB wins to share with our community, I’d love to read your comments!

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Reblogged 8 months ago from tracking.feedpress.it

6 Things I Wish I Knew Before Using Optimizely

Posted by tallen1985

Diving into Conversion Rate Optimization (CRO) for the first time can be a challenge. You are faced with a whole armoury of new tools, each containing a huge variety of features. Optimizely is one of those tools you will quickly encounter and through this post I’m going to cover 6 features I wish I had known from day one that have helped improve test performance/debugging and the ability to track results accurately.

1. You don’t have to use the editor

The editor within Optimizely is a useful tool if you don’t have much experience working with code. The editor
should be used for making simple visual changes, such as changing an image, adjusting copy or making minor layout changes.

If you are looking to make changes that change the behaviour of the page rather than just straightforward visual changes, then the editor can become troublesome. In this case you should use the “Edit Code” feature at the foot of the editor.

For any large-scale changes to the site, such as completely redesigning the page, Optimizely should be used for traffic allocation and not editing pages. To do this:

1. Build a new version of the page outside of Optimizely

2. Upload the variation page to your site.
Important: Ensure that the variation page is noindexed.

We now have two variations of our page:

www.myhomepage.com & www.myhomepage.com/variation1

3. Select the variation drop down menu and click Redirect to a new page

4. Enter the variation URL, apply the settings and save the experiment. You can now use Optimizely as an A/B test management tool to allocate traffic, exclude traffic/device types, and gather further test data.

If you do use the editor be aware of excess code

One problem to be aware of here is that each time you move or change an element Optimizely adds a new line of code. The variation code below actually repositions the h2 title four times.

Instead when using the editor we should make sure that we strip out any excess code. If you move and save a page element multiple times, open the <edit code> tab at the foot of the page and delete any excess code. For example, the following positions my h2 title in exactly the same position as before with three fewer lines of code. Over the course of multiple changes, this excess code can result in an increase of load time for Optimizely.


2. Enabling analytics tracking

Turning on analytics tracking seems obvious, right? In fact, why would we even need to turn it on in the first place, surely it would be defaulted to on?

Optimizely currently sets analytics tracking to the default option of off. As a result if you don’t manually change the setting nothing will be getting reporting into your analytics platform of choice.

To turn on analytics tracking, simply open the settings in the top right corner from within the editor mode and select Analytics Integration.

Turn on the relevant analytics tracking. If you are using Google Analytics, then at this point you should assign a vacant custom variable slot (for Classic Analytics) or a vacant custom dimension (Universal Analytics) to the experiment.

Once the test is live, wait for a while (up to 24 hours), then check to be sure the data is reporting correctly within the custom segments.


3. Test your variations in a live environment

Before you set your test live, it’s important that you test the new variation to ensure everything works as expected. To do this we need to see the test in a live environment while ensuring no customers see the test versions yet. I’ve suggested a couple of ways to do this below:

Query parameter targeting

Query parameter tracking is available on all accounts and is our preferred method for sharing live versions with clients, mainly because once set up, it is as simple as sharing a URL.

1. Click the audiences icon at the top of the page 

2. Select create a new audience

3. Drag Query Parameters from the possible conditions and enter parameters of your choice.

4. Click Apply and save the experiment.

5. To view the experiment visit the test URL with query parameters added. In the above example the URL would be:
http://www.distilled.net?test=variation

Cookie targeting

1. Open the browser and create a bookmark on any page

2. Edit the bookmark and change both properties to:

a) Name: Set A Test Cookie

b)URL: The following Javascript code:

<em>javascript:(function(){ var hostname = window.location.hostname; var parts = hostname.split("."); var publicSuffix = hostname; var last = parts[parts.length - 1]; var expireDate = new Date(); expireDate.setDate(expireDate.getDate() + 7); var TOP_LEVEL_DOMAINS = ["com", "local", "net", "org", "xxx", "edu", "es", "gov", "biz", "info", "fr", "gr", "nl", "ca", "de", "kr", "it", "me", "ly", "tv", "mx", "cn", "jp", "il", "in", "iq"]; var SPECIAL_DOMAINS = ["jp", "uk", "au"]; if(parts.length > 2 && SPECIAL_DOMAINS.indexOf(last) != -1){ publicSuffix = parts[parts.length - 3] + "."+ parts[parts.length - 2] + "."+ last} else if(parts.length > 1 && TOP_LEVEL_DOMAINS.indexOf(last) != -1) {publicSuffix = parts[parts.length - 2] + "."+ last} document.cookie = "optly_"+publicSuffix.split(".")[0]+"_test=true; domain=."+publicSuffix+"; path=/; expires="+expireDate.toGMTString()+";"; })();</em>

You should end up with the following:

3. Open the page where you want to place the cookie and click the bookmark

4. The cookie will now be set on the domain you are browsing and will looking something like: ‘optly_YOURDOMAINNAME_test=true’

Next we need to target our experiment to only allow visitors who have the cookie set to see test variations.

5. Click the audiences icon at the top of the page

6. Select create a new audience

7. Drag Cookie into the Conditions and change the name to optly_YOURDOMAINNAME_test=true

8. Click Apply and save the experiment.

Source:
https://help.optimizely.com/hc/en-us/articles/200293784-Setting-a-test-cookie-for-your-site

IP address targeting (only available on Enterprise accounts)

Using IP address targeting is useful when you are looking to test variations in house and on a variety of different devices and browsers.

1. Click the audiences icon at the top of the page

2. Select create a new audience

3. Drag IP Address from the possible conditions and enter the IP address being used. (Not sure of your IP address then head to
http://whatismyipaddress.com/)

4. Click Apply and Save the experiment.


4. Force variations using parameters when debugging pages

There will be times, particular when testing new variations, that there will be the need to view a specific variation. Obviously this can be an issue if your browser has already been bucketed into an alternative variation. Optimizely overcomes this by allowing you to force the variation you wish to view, simply using query parameters.

The query parameter is structured in the following way: optimizely_x
EXPRIMENTID=VARIATIONINDEX

1. The
EXPERIMENTID can be found in the browser URL

2.
VARIATIONINDEX is the variation you want to run, 0 is for the original, 1 is variation #1, 2 is variation #2 etc.

3. Using the above example to force a variation, we would use the following URLstructure to display variation 1 of our experiment:
http://www.yourwebsite.com/?optimizely_x1845540742=1

Source:
https://help.optimizely.com/hc/en-us/articles/200107480-Forcing-a-specific-variation-to-run-and-other-advanced-URL-parameters


5. Don’t change the traffic allocation sliders

Once a test is live it is important not change the amount of traffic allocated to each variation. Doing so can massively affect test results, as one version would potentially begin to receive more return visitors who in turn have a much higher chance of converting.

My colleague Tom Capper discussed further the
do’s and don’ts of statistical significance earlier this year where he explained,

“At the start of your test, you decide to play it safe and set your traffic allocation to 90/10. After a time, it seems the variation is non-disastrous, and you decide to move the slider to 50/50. But return visitors are still always assigned their original group, so now you have a situation where the original version has a larger proportion of return visitors, who are far more likely to convert.”

To summarize, if you do need to adjust the amount of traffic allocated to each test variation, you should look to restart the test to have complete confidence that the data you receive is accurate.


6. Use segmentation to generate better analysis

Okay I understand this one isn’t strictly about Optimizely, but it is certainly worth keeping in mind, particularly earlier on in the CRO process when producing hypothesis around device type.

Conversion rates can vary greatly, particularly when we start segmenting data by locations, browsers, medium, return visits vs new visits, just to name a few. However, by using segmentation we can unearth opportunities that we may have previously overlooked, allowing us to generate new hypotheses for future experiments.


Example

You have been running a test for a month and unfortunately the results are inconclusive. The test version of the page didn’t perform any better or worse than the original. Overall the test results look like the following:


Page Version

Visitors

Transactions

Conversion Rate
Original 41781 1196 2.86%
Variation 42355 1225 2.89%

In this case the test variation overall has only performed
1% better than the original with a significance of 60%. With these results this test variation certainly wouldn’t be getting rolled out any time soon.

However when these results are segmented by
device they tell a very different story:

Drilling into the
desktop results we actually find that the test variation saw a 10% increase in conversions over the original with 97% significance. Yet those using a tablet were converting way below the original, thus driving down the overall conversion rates we were seeing in the first table.

Ultimately with this data we would be able to generate a new hypothesis of “we believe the variation will increase conversion rate for users on a desktop”. We would then re-run the test to desktop only users to verify the previous data and the new hypothesis.

Using segmented data here could also potentially help the experiment reach significance at a much faster rate as
explained in this video from Opticon 2014.

Should the new test be successful and achieve significance we would serve users on the desktops the new variation, whilst those on mobile and tablets continue to be displayed the original site.

Key takeaways

  • Always turn on Google Analytics tracking (and then double check it is turned on).
  • If you plan to make behavioural changes to a page use the Javascript editor rather than the drag and drop feature
  • Use IP address targeting for device testing and query parameters to share a live test with clients.
  • If you need to change the traffic allocation to test variations you should restart the test.
  • Be aware that test performance can vary greatly based on device.

What problems and solutions have you come across when creating CRO experiments with Optimizely? What pieces of information do you wish you had known 6 months ago?

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