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Empathische Verhaltensweisen im E-Commerce
Discover the nudges of the brytes Digital Empathy Engine.
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Product Available.

Target

You wish to increase not only the purchase probability, but also the number of products in the shopping cart of your users? This nudge supports you exactly to achieve this goal! By specifically increasing the trust in your products, a faster purchase conclusion of your users can be achieved. How do we ensure this? The principle of scarcity explains it to us...

Behavioral Economics

The scarcity effect unfolds its full potential. Have you ever attributed a higher value to a limited edition or a product with limited availability than to normally available products? Then you already understand very well how this heuristic affects us humans. Products that are limited in quantity automatically create a feeling of exclusivity and increase the interest in buying, which ultimately has a positive effect on the actual purchase probability in your store.

Rule Set

Our algorithm detects if your users are hesitant to add a product to their shopping cart. If this product has a limited availability, we inform the users with this nudge and thus increase the purchase probability of the product. But: We would never show a limited availability if it is not available, because trust and transparency is the key to a good user experience.

Basket Sale

Full Basket.

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Target

The shopping cart of your users is already filled, but the final check-out is still waiting? How can you support your users in their decision-making without interrupting the active purchase process and thus losing potential revenue? Depending on the current shopping cart value, we determine the user's purchase probability and either encourage an increase in the order value or reduce the probability of an exit.

Behavioral Economics

Commitment and online shopping are two terms that you have never put into context? You've probably heard it before: You've dealt with a subject extensively and have already invested quite a bit of time. And this is where the commitment bias comes into action. According to this heuristic, it's absolutely natural for us to stick to a decision we've already made and remain loyal to it. It's the same with online shopping. Sometimes we just need a little reminder to nudge us in the right direction!

Rule Set

The shopping cart value of your user gives us information about further buying behavior. Is the user already on the verge of completing a purchase or is he more likely to browse the site further? Depending on the user's intention, we set an impulse for the conclusion of the purchase on the appropriate page types.

Basket Sale.

Target

With this Nudge you can support your users in a very individual way along their customer journey. While some may already be well advanced and have already found their favorite products, others may need a little help on the way to their favorites. You want to support both groups equally and on the one hand lead the already advanced purchase process to a successful conclusion and on the other hand increase the average shopping cart value, then let the FOMO principle achieve its full effect for you...

Behavioral Economics

Fear of missing out (FOMO) is the keyword that describes the human emotional state of not wanting to miss anything. A state of feeling that can not only occur in various everyday situations, but is especially prevalent during online shopping. Attractive discounts, sales or clearance sales evoke exactly this feeling in us, signaling us not to miss the special discount. Have you ever been caught by FOMO effect? How does it look like with your users?

Rule Set

Optimizing the probability of a purchase and the average value of the shopping cart at the same time is possible with the use of our algorithm. After a precise analysis of the average shopping cart value, it is possible to play out the nudge in an adapted form in a large number of sessions and on various pages, so that a large number of users can be reached and the probability of completion ultimately increases.

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Exit Intent
Exit Intent.

Target

Are your users leaving your website prematurely, so that you have not yet been able to fully convince them of your potential? Then the Nudge helps you to prevent a premature exit and to give you enough time to convince them with your unique offer and to finally increase the probability of closing the deal.

Behavioral Economics

Your user has viewed the product, but is now planning to leave the page? Here, too, the principle of scarcity works analogously to the first nudge. Due to the scarcity, the product is automatically rated more exclusively, which at the same time increases the interest of your user in this product and prevents a last-minute exit.

Rule Set

After the potential of an exit intent has been recognized by our algorithm, the nudge is played out directly at this moment on the corresponding page of the user. With the help of this approach, the motivation of your user to remain on the respective page should be increased, in order to increase the probability of a purchase in a final step.

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Exit Intent Digital Nudging brytes empat
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Popular Product.

Popular Product.

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Target

If users visit a very popular product, they should learn about it immediately. Whether in the comparison process of several products or directly at the start of the session - popular products should be made visible as such. Especially new users are not yet familiar with the store and possibly the product range. The Nudge helps them to distinguish the products and to find the best products for their individual selection.

Behavioral Economics

Social Proof = Conversion Hero? Social proof strengthens our decision for a product, because we know that other buyers approve this product. It reduces uncertainty in product selection - is the product really good? If so many others buy it, I can hardly go wrong when buying it myself.

Rule Set

If a user visits a very popular product, an indication of this popularity is displayed. The goal is to add the product to the shopping cart and then complete the purchase.

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