Visitor #00001, we have been expecting you.

This is your profile, created by FROSMO based on your browsing behavior. Each time you interact with the website, we collect data to create a relevantly personalized experience for you.

Overcome these common personalization myths to grow revenue and customer lifetime value

Watch the series of personalization myth videos with Mikael Gummerus and Thomas Granelund from dentsu as they debunk the top 10 myths around ecommerce personalization that can hinder your ability to realize all the benefits that personalized content can offer your business.

Myth #1:
Personalization is not critical for your business success.

Is personalization critical or just a fancy marketing trend?

Watch the video as they talk about how many companies are responding positively to ecommerce personalization, resulting in more revenue and profitability. In fact, any site can reap the full benefits of personalization.

Myth #2:
Personalization has no impact on advertising ROAS.

How do you ensure that your website visitors continue where they left off?

In this video, you will find out how ecommerce personalization helps website visitors by delivering the relevant message at the right time across all touchpoints of the customer journey. The seamless and consistent customer journey ultimately paves the way to boosting conversions and dramatically increasing your ROAS.

Myth #3:
Personalization = Recommendations

For most people, personalization and recommendation are the same things. Well, not exactly. Personalization goes beyond the product or content recommendations.

The video talks about the different ways to personalize websites and the different digital experiences that can be enhanced through AI-driven personalization. touchpoints of the customer journey.

Myth #4:
Personalization is only possible for recognized users.

Targeting anonymous visitors for personalized experiences can look intimidating because you don’t know them yet. But they are not completely unknown. Use data such as device types, time of the day, geography, traffic source, and third-party data to identify their preferences and interests.

In this video, Mikael Gummerus and Thomas Granelund prove that personalization is not just for first-time users.

Myth #5:
We don’t have the right tools and skills for personalization.

Of course, technology is part of the game. But successful personalization isn’t always about having technical expertise and advanced skills.

This video discusses the importance of having a professional to guide you in the process of personalization to avoid the most common mistakes.

Myth #6:
Personalization is possible with ecommerce platform’s features.

Because most CMS or ecommerce platforms have some built-in personalization features, doing an in-house personalization project may seem like a good idea at first. But in the long term, the IT team would also need to build a user interface for the marketing team to change and monitor personalization.

What’s the best approach? To use the best-of-breed tools such as headless architecture and get a team of experts to enable AI-driven personalization for more seamless and consistent customer experiences.

Myth #7:
AB Testing = Personalization

Personalization and AB testing may seem very much alike but these are two different things. Personalization is delivering a unique and relevant customer experience while AB testing is about comparing two different versions of web pages to see which one performs better with a target audience for a particular goal.

These two techniques, however, go hand in hand in increasing the effectiveness of personalization strategies. The more you know about a customer, the more you can create customized experiences for them.

Myth #8:
Results of personalization initiatives are hard to prove.

Experimentation, or AB testing, and personalization complement each other. After driving equal traffic to two pages: one with a personalized experience, and the other without, you’ll have an idea of which is the more successful page.

Once you have the data in place and the metrics or KPIs you’ve measured, you can make the decision based on the results.

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