Article

6min read

Put Data in the Driver’s Seat | Marianne Stjernvall

Marianne Stjernvall explains the evolution of CRO and the importance of centralizing your CRO Program to create a data-driven organization

Before becoming a leading specialist in CRO and A/B testing, Marianne Stjernvall was studying computer and systems science when a company reached out to her on LinkedIn for a position as a CRO specialist, which for her turned out to be the perfect mix of logic programming data and business and people. 

Since then she founded the Queen of CRO where Marianne acts as an independent CRO consultant helping many organizations with experimentation, CRO, personalization and creating a data-driven culture for growth. 

Previously, Marianne worked for companies such as iProspect, TUI and Coop Sverige where she spearheaded their CRO roadmap and developed a culture of experimentation. Additionally, she was awarded CRO Practitioner of the Year in 2020.

AB Tasty’s VP Marketing Marylin Montoya spoke with Marianne on the importance of contextualizing A/B test data to make better-informed decisions. Marianne also shared her own take on the much debated build vs buy topic and some wise advice from her years of experience with CRO and experimentation.

Here are some key takeaways from their conversation. 

The importance of contextualizing data

For Marianne, CRO is becoming a big part of product development and delivery. She highlights the importance of this methodology when it comes to collecting data and acting on it in order to drive decisions. 

Marianne stresses the importance of putting data into context and deriving insights from that data. This means companies need to be able to answer why they’re collecting certain information and what they plan to do with that information or data. 

CRO is the key to unlocking many of those insights from the vast amount of data organizations have at hand and to pinpoint exactly what they need to optimize. 

“What are you going to do with that information? You need context to provide insights and that, I think, is what CRO actually is about,” Marianne says. 

This is what makes CRO so powerful as it enables organizations to take more valuable actions based on the insights derived from data. 

When done right, testing within the spectrum of CRO can help move organizations into a completely different path that they were on before onto a more innovative and transformative journey.

Centralize and standard your experimentation processes first

When companies are just starting to create their experimentation or CRO program, Marianne recommends having parts of it centralized and to run tests within a framework or process to avoid teams running their own tests and executing these tests all over each other. 

Otherwise, you could have different teams, such as marketing, product development and CRO teams, executing tests with no set process in place which could potentially lead to chaos. 

“You will be taking decisions on A/B tests on basically three different data sets because you will be checking different kinds of data. So having an ownership of that to produce this framework and process, this is how the organization should work with these kinds of tests,” says Marianne. 

With established frameworks and processes in place, organizations can set rules on how to carry out tests to get better value out of them and create ownership for the entire organization. The trick is to start small with one team and build in these processes over time onto the next team and so on.

This is especially important as Marianne argues that many organizations cannot increase their test velocity because they don’t have set processes to act on the data they get from their A/B tests. This includes how they’re calculating the tests, how they’re determining the winning or losing variation and what kind of goals or KPIs they’ve set up.

In other words, experimentation needs to be democratized as a starting point to allow an organization to naturally evolve around CRO. 

Putting people at the center of your CRO program

When it comes to the build vs buy debate, Marianne argues that an A/B testing tool will not automatically solve everything. 

“A great A/B testing tool can make you comfortable in that we have all the grounds covered with that. Now we can actually execute on this, but the rest is people and the organization. That’s the big work.”

In fact, companies tend to blame the tech side of things when their A/B testing is not going as planned. For Marianne, that has nothing to do with the tool; the issue primarily lies with people and processes. 

As far as the build vs buy debate, before deciding to build a tool in-house, companies should first ask themselves why they want to build their own tool beyond the fact it’s more cost-efficient. This is because these tools need time to get set up and running. It may not be so cost-effective as many tend to think when choosing to build their own tool.  

Marianne believes that companies should focus their energy and time on building processes and educating teams on these processes instead. In other words, it’s about people first and foremost; that’s where the real investment lies. 

Nevertheless, before starting the journey of building their own tool, companies should evaluate themselves internally to understand how teams are utilizing and incorporating data obtained from tests into their feature releases. 

If you’re just starting on your CRO journey, it’s largely about organizing your teams and involving them in these processes you’re building. The idea is to build engagement across all teams so that this journey happens in the organization as a whole. (An opinion that was shared by 1,000 Experiments Club podcast guest Ben Labay). 

What else can you learn from our conversation with Marianne Stjernvall?

  • What to consider when choosing the right A/B testing tool 
  • Her own learnings from experiments she’s run
  • How to get HIPPOs more involved during A/B testing
  • How “failed” tests and experiments can be a learning experience

 

About Marianne Stjernvall

Having worked with CRO and experiments for a decade and executed more than 500 A/B tests, Marianne Stjernvall has helped over 30 organizations to help them grow their CRO programs. Today, Marianne has transformed her passion for creating experimental organisations with a data-driven culture to become a CRO consultant at her own company, the Queen of CRO. She also regularly teaches at schools to pass on her CRO knowledge and show the full kind of spectrum of what it takes to execute on CRO and A/B testing and experimentation.

About 1,000 Experiments Club

The 1,000 Experiments Club is an AB Tasty-produced podcast hosted by Marylin Montoya, VP of Marketing at AB Tasty. Join Marylin and the Marketing team as they sit down with the most knowledgeable experts in the world of experimentation to uncover their insights on what it takes to build and run successful experimentation programs.

 

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Article

5min read

The Future of Digital Personalization: EmotionsAI by AB Tasty

At AB Tasty, we understand the importance of personalization in reaching your audience. We also know that up to 80% of consumers are more likely to complete an online purchase with brands that offer personalized customer experiences.

We have worked extensively to enable businesses to dynamically customize website content, product recommendations and promotional offers based on individual user preferences, behavior and demographics.

However, website experiences have not lived up to customer expectations when it comes to feeling understood by brands. If brands can’t bring relevance to their audience, at the very least they should reduce frustration and negative emotions.

The role of emotions

Emotions have a big impact on the entire purchasing journey. Brands not only need to understand customer preferences, but they also need to understand the emotional impact behind each decision. People are not always rational when it comes to making buying decisions – and not all people react in the same way.

Emotions play a huge role in how we make our decisions. In fact, once we start to think of the customer journey as a succession of micro-decisions (e.g. clicking on a CTA is one of them), we can easily understand how important it is to serve a personalized experience depending on emotional profiles. 

What if you can understand your customers beyond the surface level? To make concrete data-driven decisions based on the abstract notion of emotional needs in order to connect with audiences like never before? To be equipped with more knowledge and data on your customers’ behaviors? To be able to use language to describe different shopper personalities? 

How can you optimize according to the distinct desires of each person?

The next step in digital personalization: AB Tasty’s EmotionsAI

Hundreds of behavioral patterns uncover your buyers’ emotional needs and train our EmotionsAI algorithm.

At AB Tasty, we love to push the boundaries of digital experiences which is why we are excited to launch our most recent acquisition. With EmotionsAI, you can experiment with unique, personalized messages for each visitor type, delve into data to understand their needs, conduct tests to identify effective messaging and construct personalized journeys targeting specific emotional needs.

Formerly known under the name Dotaki, this new technology is based on years of psychographic modeling, customer journey mapping and AI technology combined with real-time interactions on your site and device usage.

Brands are already using EmotionsAI and AB Tasty to:

  • Understand the emotional needs of audiences to bolster their Experience Optimization roadmap with effective messages, designs and CTAs that activate their visitors.
  • Have more winning variations by digging deeper into what works and for which type of personality with analytics.
  • Personalize campaigns by targeting based on emotional needs in the AB Tasty Audience Builder.

Customer Segmentation By Personality Type

EmotionsAI can help you understand what type of visitor is on your site. For instance, if they were classed as a “Competitive” visitor, they would react strongly to either social proof or labels that indicated previous sales or limited stock on products. If they were considered a “Safety” visitor – they would be looking for a clear, secure payment system, with easy reassurance along the way. Pragmatic visitors, who are looking for “immediacy” want the quickest route to order completion, with as few blocking points as possible.

Results

Once you are able to classify visitors with EmotionsAI, you can then start using winning variations to address their specific needs.

You can instantly identify when a variation meets the emotional need of a portion of the audience. The impact on the test success rate is impressive: with EmotionsAI, it is possible to detect a significant impact on sales in 3 times more A/B tests. This opens the door to easily implement personalizations targeting visitors on the most relevant criterion: the emotional.

In addition, the emotional segments make it possible to identify which stages of the online journey do not respond well enough to the emotional needs of the audience and generate a shortfall. This gives you ideas for future tests, for example, adding a reassurance strip to a basket stage. A/B tests based on these emotional insights have a success rate twice as high as the average.

We have seen a massive increase in revenue from previous customers. More than 60% of test variations show a successful business impact compared to 10% without EmotionsAI. Additionally, personalization campaigns using EmotionsAI have driven revenue increases ranging from 5% to 10%.

Stay ahead of the curve with the next step in experience optimization by mastering emotional personalization with EmotionsAI. Let your audience be seen by incorporating learning algorithms to map customer behaviors for predictable buying profiles.

EmotionsAI is an AI-Powered Segmentation Tool by AB Tasty, allowing for better personalization and higher conversion rates.

Want to find out more? Get in touch with us today!