Tag Archives: case study

Deliver more relevant experiences with Optimize and AdWords

Search is one of the most important acquisition channels in a marketer’s toolkit. But it’s not enough to just optimize search ads. It’s essential to consider the entire customer journey and keep people engaged once they reach your site. That’s why we introduced an integration between Optimize and AdWords to make it easy for marketers to test and create personalized landing pages.

How Spotify boosted conversions with Optimize and AdWords


Spotify, one of the world’s leading audio streaming services, is just one example of a company that has successfully used the Optimize and AdWords integration to drive more conversions from their search campaigns. Spotify discovered that the most streamed content in Germany was actually audiobooks, not music. So they wanted to show German users that they have a wide selection of audiobooks, and also that the experience of listening to them is even better with a premium subscription. 

Using the AdWords integration with Optimize 360 (the enterprise version of Optimize), Spotify ran an experiment that focused on users in Germany who had searched for "audiobooks" on Google and clicked through on their search ad. Half of these users were shown a custom landing page dedicated to audiobooks, while the other half were shown the standard page. The custom landing page increased Spotify’s premium subscriptions by 24%. 

"Before, it was a fairly slow process to get all these tests done. Now, with Optimize 360, we can have 20 or more tests running at the same time. It’s important that we test a lot, so it doesn’t matter if we fail as long as we keep on testing,” said Joost de Schepper, Spotify’s Head of Conversion Optimization."

Watch Spotify’s video case study to learn more



Driving your own results

Today, we’re announcing three new updates to make it easier for all marketers to realize the benefits that Spotify saw from easily testing and creating more relevant landing pages:

1. Connect Optimize with the new AdWords experience

You can connect Optimize to AdWords in just a few steps. Follow these instructions to get started.

Not using the new AdWords experience yet? Make the switch to gain access to more actionable insights and faster access to new features.

2. Link multiple AdWords accounts at once

For advertisers that have many AdWords accounts under a manager account, individually linking each of those sub-accounts to Optimize can be time consuming.

Now, you can link your manager account directly to Optimize. This will pull in all your AdWords accounts at once, allowing you to immediately connect data from separate campaigns, ad groups, and more. To get started, switch to the new AdWords experience, and then you’ll see an option to link your manager account in your Linked accounts, learn more.

3. Gain more flexibility with your keywords

You can now run a single experiment for multiple keywords, even if they’re across different campaigns and ad groups. For example, test the same landing page for users that search for “chocolate chip cookies” in your “desserts” ad group and for users that search for “iced coffee” in your “beverages” ad group.

With the Optimize and AdWords integration, driving results through A/B testing is fast and simple. Sign-up for an Optimize account at no charge and get started today.

Happy Optimizing!


Test and Build for Mobile with Google Optimize

From buying new shoes to booking weekend getaways, mobile can make life more convenient for consumers — and create big wins for marketers. While 40% of consumers will leave a web page that takes longer than three seconds to load, 89% of people are likely to recommend a brand after a positive brand experience on mobile.1 That's why getting your mobile site in shape is more important than ever.

To create the seamless and responsive mobile site that consumers expect, you need the right tools, like Google Optimize. Optimize makes it easy to test different elements of your site to find the winning combination for the best mobile site possible. Now it’s even easier with our new responsive visual editor – and be sure to read on and learn how two of our clients found mobile success with Optimize 360, our enterprise version.

New! Preview your mobile site on any screen size 


While almost everyone has a mobile device, there are so many variations and screen sizes that it’s hard to take a one-size-fits-all approach to optimizing your mobile site. Now, once you’ve created your test page, you can use the new responsive editor to immediately preview what it looks like on any screen size. Or, if you want to see how it appears on a specific device, like a Nexus 7 or iPad, we’ve added more devices that you can select to preview. Learn more about the visual editor here.


Turn ideas to tests quickly 


The responsive visual editor in Optimize is just one solution to help marketers succeed on mobile. Our enterprise version, Optimize 360, makes it easy to make improvements to mobile sites efficiently and rapidly.

Dutch airline carrier Transavia Airlines turned to Optimize 360 to try out different ideas on its mobile site. In fact, the team runs about 10 A/B tests each month on the site, all without having to spend significant time or effort. And the best part? Time spent on analyzing the success of site tests has fallen by 50%. This allows Transavia to focus more on testing to improve its mobile site. Learn more in the full case study.

The path to mobile excellence starts with the customer journey 


Need some help determining what should test on your mobile site? Google Analytics 360 is a great place to start. You’ll be able to analyze any customer interaction, from search to checkout, to figure out which points of your purchase process need help. Then, once you’ve determined where your site needs work, using Optimize 360 to take action is simple, since it’s natively integrated with Analytics 360.

This is exactly how fashion retailer Mango used Analytics 360 and Optimize 360 to tackle its mobile site: After discovering that mobile visits to its online store had skyrocketed 50% year over year, Mango decided to dig a little deeper. In Analytics 360 Mango discovered that while many consumers browsed product listing pages, few were taking the next step to add products to their shopping cart. To reduce steps to checkout, Mango used Optimize 360 to include an “Add” button to product listing pages. This increased the number of users adding products to their carts by 49%. Find out more in the full case study.

Ready to optimize your own mobile site? 


Start testing new mobile experiences with the responsive visual editor in Optimize. This update is one that can help marketers do more on mobile — because whether it’s changing a button or fine-tuning a homepage with quick A/B tests, we’ve learned that small tweaks can make a big impact.

And, if you haven’t already, sign up for a free Optimize account and give it a try.

1 Google / Purchased: "How Brand Experiences Inspire Consumer Action" April 2017. US Smartphone Owners 18+ = 2010, Brand Experiences = 17,726.

Sigma Sport spins up 28% higher revenue with Google Optimize 360

If you’re a road cyclist or triathlete, chances are you know Sigma Sport. This global retailer sells bikes, clothing, energy bars, anti-chafe balm and everything else you need to power your way through your next big event — or just enjoy your next friendly ride in the country.

Recently Sigma Sport set out to address a vital need: to find more customers with high potential lifetime value. “Growth with high-value customers is key to our success,” says Nik Hill, the company’s Head of Digital. “We knew we needed to change our website experience to better engage these customers.”

To reach its goal, Sigma Sport turned to its agency, the digital conversion specialists Merkle | Periscopix. And together they turned to Google Optimize 360, part of the Google Analytics 360 Suite.

Using Optimize 360, Merkle | Periscopix created an experiment where they replaced Sigma Sport’s homepage carousel with brand-specific images of the site’s three top-performing brands: Castelli, Specialized, and Assos. Then they targeted the experiment to the audiences they had already built in Analytics.

This allowed Merkle | Periscopix to serve personalized experiences to fans of each brand. “We used the Analytics audience targeting feature in Optimize 360 to serve bespoke experiences to subsets of users,” says Shahina Meru, Associate Analytics Lead at Merkle | Periscopix. “We created three distinct Analytics audiences who had earlier bought or interacted with the top three brands, then used these as targeting rules in Optimize 360. Anyone who had looked at or bought a Specialized bike in the past, for instance, now saw Specialized products in their carousel.”


When Sigma Sport tested its new personalized home page, they saw right away that it was a hit with users. The experiment drove a 28% rise in revenue and a 32% increase in e-commerce conversion rate during the experiment. In fact, Sigma Sport saw uplift across the entire customer journey with a 90%+ probability to beat the baseline.

The bottom line: Personalization worked, both for bike-shopping customers and for Sigma Sport. Now Merkle | Periscopix is looking for more ways to enhance user experience with personalization from Analytics and Optimize 360.


MercadoLibre uses unique audience insights from Analytics 360 to raise ad RPMs by 60%

Washing machines and welding masks, comic books and baby strollers: just about everything is for sale on MercadoLibre. It's one of Latin America's biggest e-commerce sites, with 130 million registered users and an average of 4.6 purchases made every second of the day. What better place for an advertiser to reach a huge audience with sure-fire purchase intent?

To help their advertisers improve their programmatic direct campaigns, MercadoLibre used Google Analytics 360, part of the Google Analytics 360 Suite, to turn their first-party data into tailored audience segments.

"We want to help our advertisers do well," says Valeria Vinitski, Advertising Business Unit Director at MercadoLibre. "So we made use of our biggest media asset: our data. With over 150 million users, we have unique insights into the shopper journey. Integrating with DoubleClick for Publishers and Google Analytics 360 helped us create precise audience segments that are perfect for our clients' campaigns."

MercadoLibre started by creating audience segments for popular product lines like cell phones, cameras, and cars, and then made those Analytics 360 segments available to advertisers. Advertisers using DoubleClick Bid Manager could then negotiate the impression volumes they wanted at fixed CPMs for each of their priority segments.

With these Programmatic Guaranteed deals, advertisers are guaranteed reach and precision, as their ads are targeted to well-defined audiences that are more likely to buy their products. Ads can be tailored for each segment, boosting their effectiveness even more.

The results have been a win-win all around. The new campaigns have produced revenue per 1,000 sessions (RPMs) that are 60% higher than standard campaigns. Thanks to this new premium audience strategy, programmatic deals now account for 35% of MercadoLibre’s programmatic revenue.

MercadoLibre’s clients are also seeing great results. Magazine Luiza — one of the largest retailers in Brazil — found during a recent multi-publisher campaign that 23% of all its conversions could be attributed to MercadoLibre, and more than 25% of all revenue generated was from audiences exposed to the targeted Programmatic Guaranteed ads on MercadoLibre. The campaign drove a great deal of new customer acquisition for Magazine Luiza, with 40% of those new customers being first-time visitors.

"If we want to deliver better ad experiences, we need to use all our capabilities, data, and ad formats, no matter the sales channel," says Valeria. "Programmatic deals help us optimize our resources and save time while reaching marketing budgets from main brands that we otherwise wouldn't be able to gain."

Your site may not have 150 million users (yet), but whatever its size, Analytics 360 can help you boost revenues. Curious to learn more? See the full MercadoLibre story.

‘All Killer, No Filler’: The Next Web finds the right message with Google Optimize 360

In a world where consumer behavior can shift on a dime, marketers constantly ask themselves: How can we be more useful to our customers? With all the data businesses collect, the challenge becomes tuning out the noise to focus on insights your team can act on.

Today’s most successful businesses have turned to a new approach: building a culture of growth and optimization. This is where everyone in an organization is using data to test and learn as a means to improve the customer experience every day.

The Next Web, a technology-media company and online publisher, has embraced this testing culture and turned to Google Optimize 360 to help them find just the right message to drive readers to their conference website.

The Next Web Case Study 


The Next Web’s conferences bring tech leaders, entrepreneurs, and marketers together to innovate, share, and look ahead. The first TNW conference was created in 2006 by Patrick de Laive and Boris Veldhuijzen van Zanten, when they couldn’t find the kind of event they needed to showcase their own startup.

That first event drew a respectable 280 attendees, but the founders knew they needed a better way to promote future TNW conferences. That’s when they launched thenextweb.com, a tech news and culture website that today attracts 8 million users a month. The Next Web’s two annual conferences in New York City and Amsterdam now draw over 20,000 attendees.

The Next Web’s marketing team uses promotional messages within articles on thenextweb.com to drive potential attendees to the conference website and sell tickets. To find out which combination of messages works best, they used Google Optimize 360, an integrated part of the Google Analytics 360 Suite.


"We want more people to read content on thenextweb.com as a first step," says Martijn Scheijbeler, who leads the marketing team's efforts. "If we can convince them to become a loyal user, we can try to interest them in different opportunities. In the end, we’d like them to join us at one of our events to experience what The Next Web is really about." 

With one of its conferences coming up, The Next Web's marketing team wanted to compare different headlines and descriptions to see which combination would drive more readers to its conference page. Using Optimize 360, The Next Web team ran a multivariate experiment to discover the combinations that worked best.


For The Next Web, the results were clear: The "All Killer, No Filler" headline with the "This one's different, trust us" description was the winner. During the experiment it performed 26.5% better than the original headline and description, with a 100% probability to beat baseline.

Today The Next Web team tests and optimizes its conference messages day by day. Better messaging means more traffic to The Next Web conference site, and that means more attendees. It also gives the marketing team extra wins like higher awareness and more newsletter signups.

“Optimize 360 and Analytics 360 make testing easy for us,” Martijn says. “They give us much better insights into how many clicks we’re getting for each message. We’re reaching more people who want to come to our conferences, and those better results are going right to our bottom line.”


For more, read the full case study with The Next Web.


Using the Customer Voice to Speed Up Decision Making

Making important business decisions is often a slow process, regardless of industry or company size. In a world where innovation is increasingly important, speed is a necessity. But how does an organization streamline its decision-making process? For many companies, the answer is data. In fact, highly data-driven organizations are three times more likely than others to report significant improvement in decision-making, according to PwC research.1

When looking for meaningful insights to drive innovation and growth, market research is often a go-to data source. The problem many companies face is that market research can feel like a roadblock because it can take months to get the data.

At Lenovo, the leading PC manufacturer worldwide, constantly evolving and improving products is required to remain competitive. “We have to make decisions today for products two years from now,” says Sarah Kennedy, User Experience Researcher at Lenovo. To keep the decision-making process moving, Sarah’s team uses Google Surveys 360 for fast and accurate data. Bringing consumer insights to the table in the early stages of product development helps her team get buy-in from senior stakeholders at a faster pace. “Within seven days, we can get results that would normally take us a month,” says Sarah. 


"We put an emphasis on innovation. Collecting competitive data and industry benchmarks is critical to do this. Surveys 360 helps us get data on the current state of the market. The results are reliable and delivered at the speed we need so our teams can continue developing the best products without delay." 

– Corinna Proctor, ‎Director of User & Design Research, Lenovo 


Google Surveys 360 provides businesses with the data they need quickly, accurately, and affordably. Choose your target audience, write your survey, and get answers in as little as three days. Get started today.

Happy surveying!

1PwC's Global Data and Analytics Survey, Big Decisions™, Base: 1,135 senior executives, Global, May 2016

Jackpot: APMEX Doubles New User Revenue with Google Optimize 360

A few months ago we shared a spotlight post on Google Optimize 360 (beta), a new testing and personalization solution in the Google Analytics 360 Suite. Today we’d like to share how one of our customers, APMEX, uses Optimize 360 to deliver an online shopping experience that matches the personal touch its customers get over the phone.

Built with full native integration for all the data that matters to your business, Optimize 360 let the APMEX team use their Analytics 360 goals and audiences to deliver better online experiences for their customers.


APMEX Case Study 

"Investments you hold" is the motto of APMEX, one of the nation's largest precious metals retailers. From the gold Maple Leafs of the Royal Canadian Mint to the platinum bars of Credit Suisse, APMEX offers thousands of bullion and numismatic products for easy sale online.

While APMEX is a large company, its marketing resources are limited. But APMEX works hard to give its online customers a concierge-level customer experience — the same personal experience customers get over the phone. "We refuse to believe that our customers’ experiences should be limited by our resources," says Andrew Duffle, Director of Analytics at APMEX.

APMEX relies on Optimize 360 to help it bring a personal concierge-level touch to its website users. "We test everything," says Duffle. "Creative versus non-creative, the impacts of SEO content on engagement, conversion rate optimization on low-performing pages, new user experiences, and even the price sensitivity of different products."

"One of our goals was to capture conversions on pages that were otherwise being used as educational resources," says Andy Mueller, Manager of Business Intelligence at APMEX. "We thought if people were checking the price of metals, they might respond to offers that really reflected their interests." In one test, new users coming to APMEX to check silver prices were given limited-time offers on United States Silver Eagles. If they're interested enough to check prices, the theory went, they might appreciate a chance to buy.

Before

After

                                                

The results were excellent, says Mueller: "We found the sessions that included an offer resulted in a median rate of 112% more revenue per session, with a 100% probability to beat baseline." The experiment did more than boost revenue: It also increased APMEX’s new customer counts. "We saw a 9% increase in new customer acquisition. Our customers have a long lifespan, so giving up a little margin on the first sale to the right customer is worth it to us."

Some of APMEX’s other tests have also produced astounding results. In one, the team used Analytics 360 to build an audience of people who had put Silver Buffalo coins in their shopping cart and then abandoned the cart. Those who returned to APMEX in the next few days saw the Silver Buffalo first thing on their homepage. As a result, the conversion rate for the coin doubled with this audience. 

"With all the data that Optimize 360 puts at our fingertips, we use it daily to build and evolve our customer relationships," says Duffle.

For more, read the full case study with APMEX.

AccuWeather delivers enhanced value to advertisers with DoubleClick for Publishers and Google Analytics 360

The Challenge
Publishers use DoubleClick for Publishers (DFP) to manage and serve ads across their sites and apps, and use Google Analytics 360 to understand user behavior on their sites. DFP reports on the ads and ad units on the site, while Analytics 360 reports on the pages on the site.

Each platform on its own doesn’t provide insight into the intersection of data with the other. And with two platforms speaking two different languages, it hasn't always been easy for publishers to understand how user behavior influences revenue and how ads influence user behavior.

That’s why last year we launched an integration between DFP and Analytics 360.

The Solution 
Through the integration, publishers using Analytics 360 can see DFP metrics like impressions, clicks, and revenue within the Analytics 360 interface. This enables publishers to combine revenue data with user behavior insights—for example, the number of ad impressions or revenue each page of their site generates. AccuWeather is one such publisher.

AccuWeather Case Study 
AccuWeather brings real-time weather news and information to more than a billion people worldwide through its website and popular suite of apps. The company knew that if it could better understand the needs of those visitors and match them with more relevant messages from advertisers, it could provide more value to advertisers and boost its own ad revenues. By linking its DFP and Analytics 360 accounts, AccuWeather could see how the behavior of its website visitors affected revenue.

With DFP metrics now in Analytics 360, AccuWeather could see that average revenue per 1,000 sessions rose by 45% on a country-level basis when two new companies began advertising on accuweather.com. This revenue increase was driven by users who were actively in-market to travel and were looking at weather in “exotic” locations such as Turks & Caicos and Barbados. With insights like these, the team has been able to create highly tailored advertising packages with high-value, unique audience segments that sales teams can sell directly or through programmatic marketplaces like the DoubleClick Ad Exchange.


“The integration of DoubleClick for Publishers and Analytics 360 gives AccuWeather real-time visibility to the next level of campaign performance insights and is helping us make better advertising decisions. We’re now creating new behavior-based ad products that are being very well received by our advertisers,” says Steve Mummey, Director of Ad Strategy & Audience Development, AccuWeather.

For more, read the full case study with AccuWeather.

Even More Capabilities Available for Publishers 
In addition to seeing DFP metrics in Analytics 360, publishers will be able to use a consolidated reporting section, see DFP ad unit data together with Analytics 360 data, and do deeper analysis on their DFP data in Google BigQuery.

Reporting 
DFP metrics are consolidated into a reporting section in Analytics 360, making it easy for publishers to understand how their online content impacts revenue.

The figures in the above image are for illustration only and do not represent actual data in AccuWeather’s DFP or Analytics 360 accounts.


Ad Units
Publishers sell their online ad inventory based on the thousands or millions of ad units they have available on their properties. Individual ad slots can be grouped together into ad units so that publishers can create a hierarchy of ad units that represents the structure of their website. Then, publishers can match each advertiser’s message with the right ad slot.

Through this integration, publishers can now see their Analytics 360 data through the lens of their ad units. DFP ad unit hierarchy is mapped to Analytics 360 along with related metrics such as impressions, clicks, and dollars.

And now that analyst and ad operations teams can speak the same language, publishers are able to analyze DFP data through the lens of demographic and interest data in Analytics 360—and they can identify things like which affinity category or user lifestyle is driving the most revenue per 1,000 sessions by ad unit.

The figures in the above image are for illustration only and do not represent actual data in AccuWeather’s DFP or Analytics 360 accounts.


Google BigQuery 
Now that DFP metrics are available in Analytics 360, they can be exported to BigQuery. This means more metrics, more exports, and more data sources. Publishers can run their own revenue models and explore in more detail the intersection of revenue and user behavior.

Stay tuned for more updates from Analytics 360 as we continue to invest in new and exciting capabilities!

Which TV Ads Made the Podium During the 2016 Olympics Opening Ceremonies?

When the 2016 Olympics kicked off last Friday, many TV advertisers were crossing their fingers that their strategy would pay off. Reaching an estimated 26.5 million total viewers in the U.S., they were hoping their ads delivered relevant and compelling creative to the right audiences. To answer the pay-off question, advertisers will predominately look at three specific areas of performance:

  1. Which ads were noticed by the audience?
  2. Which ads drove interest, shifted perception, and increased intent?
  3. And, which ads drove actual consumer response?

To get some insights into these questions, Google evaluated the top 10 brands (based on total ad minutes) that aired ads during the live broadcast of the opening ceremonies. The analysis is based on a combination of consumer surveys and second-screen (mobile, desktop, and tablet) response data. Presented in a live Google Data Studio dashboard, the result is a unique view into the full-funnel performance of the ads evaluated.

Awareness

Commercials during large, live sporting events like the Olympics are often uniquely created to leverage both the scale of the audience and the context of the event. Whether it is telling the personal story of an athlete or playing to our passions like patriotism, they are intended to strike an emotional connection, entertain us, or make us stand up and take notice.

Coca Cola was the big winner with almost 35% of respondents having remembered seeing the ad when prompted—a result that outpaces typical recall rates in the 20%-25% range. Not a surprising result from a top CPG brand. Samsung, Chevy, United, and Visa rounded out the top five with respectable recall rates.
TV Ad Awareness Metrics
35% of respondents remembered seeing the Coca Cola ad.
Additionally, of those respondents recalling the ad, only 40% could recall the specific product or service featured in the ad. The net is that only about 8% of viewers can recall both the brand and product in a specific advertisement. For many of the ads this was the first airing and it is reasonable to expect these numbers to improve substantially with increased exposure over the next couple of weeks.

Interest

Advertisers also want the ad to shift perceptions and create interest in the product or service featured. By surveying both viewers who saw the ad (exposed) and those who did not (unexposed), we are able to get insights into the impact of each ad’s messaging and creative. Overall, the results were impressive. On average, respondents who saw the ads were 18% more positive about the associated brands than those who did not. Likewise, respondents who saw the ads were 16% more likely to find out more and/or purchase the product being advertised.
TV Ad Interest Metrics
Consumers who saw the ads were 18% more positive about the brand and were 16% more likely to find out more or purchase the product in the ad.
Interestingly, the baseline favorability and purchase intentions for both non-sponsors and Olympic sponsors are relatively equal. And for the most part, the ad’s impact on both factors was the same across non-sponsors and sponsors.

Desire

These commercials don’t just make us laugh or make us feel better about the brand—they also make us search and visit websites. Second-screen searching—whether it’s to re-engage with the ad or to learn more about the product—is a powerful indication of desire. By measuring incremental search queries on Google and YouTube during the broadcast that are specific and modeled to be attributable to ads shown, we are now able to include responses in our analysis. During the opening ceremonies, TV ad driven searches were almost exclusively on mobile—94% compared to an average of 56% for those brands when the ads were not airing. For brands, that means a presence on the TV screen isn’t complete without a strategy for small screens, as well.
"94% of searches on Google and YouTube as a result of seeing the ads occurred on mobile devices."
McDonald’s took the top spot on the podium with 42% more searches than the average. BMW and Samsung fought it out for second and third with 14% and 12% respectively. The answer to the question “Do emotional and inspiring ads work?” is, in this instance, “Yes.” But so do product-featured ads. Both inspiring and product ad creatives drove 10% more searches on average. Also, ads by sponsors drove 14% more searches than their non-sponsor counterparts.
TV Ad Response Metrics
Compared to the average of the top 10 ads studied, McDonald’s drove 42% more searches.
Finally, the Samsung Galaxy Note 7 ad was the overall winner with strong full-funnel performance placing in the top three across all three funnel stages. Whether people are tuning into the Olympics or their favorite TV show, they use their smartphones to search for information triggered by what they’re seeing. That means if you advertise on TV, you can now get a new view of performance across each stage of the funnel—using a combination of consumer surveys and digital response, all in a matter of days. Armed with these new insights, advertisers are now able to better understand and improve the performance of these investments in concert with their digital media.

Sourcing

Using Google Consumer Surveys to provide consumer ad awareness and interest research, an online survey was conducted in the United States during the period 8/6 - 8/9/16 using a validated, representative sample with a minimum of 750 respondents. Response data is based on incremental TV ad-driven search queries (Google and YouTube) during the course of the broadcast that are specific to the ad shown and are modeled by Google Attribution 360 to be attributable to the airings of the commercials. Response data is normalized for total commercial air time during the broadcast for each advertiser and indexed to the average.

Happy Analyzing,

Case Study in Online-to-Store Measurement: Petit Bateau & Google Analytics

Knowing that many people research products online before going into a physical store to make a purchase, French clothing retailer Petit Bateau wanted to develop a better understanding of the online-to-offline (in-store) behaviour of its customer base. The brand leveraged Google Analytics and its robust features: User ID and Measurement Protocol, to reach the objectives.

Petit Bateau customers in France can shop in 153 physical stores as well as on Petit-bateau.fr. Users log into the website which makes it possible to later match the traffic of logged-in users with subsequent in-store transactions made with a loyalty card.



Petit Bateau uploaded personally non-identifiable in-store data into Google Analytics and discovered that digital played a significant role in driving in-store purchases:

  • 44% of in-store buyers had visited the site within the seven days before making their purchases, 
  • 9% of in-store buyers had visited the site on the same day as their purchase in the physical shop. 
Further analysis revealed that the online-to-store effect was particularly important on mobile. Mobile visitors converted within stores at an 11% higher rate than desktop visitors, and their in-store spend was 8% greater.

By using Google Analytics to measure online-to-offline purchase behaviour, Petit Bateau was able to better understand the impact of online marketing on in-store sales and use the data to recalculate AdWords return on ad spend – which proved to be six times higher with in-store sales incorporated. Taking in-store transactions into consideration in this way is enabling Petit Bateau to optimise the brand’s digital marketing programmes, make more informed decisions around media budget allocation and design better experiences for consumers as they move seamlessly between digital and physical shopping environments.

You can find the full case study with all the details here.

Posted by the Google Analytics team