This article shows you, how to optimize the landing pages of your website or app with personalized product recommendations.

Content:

• Preface
• Setting up Segments in Webtrekk DMP and Importing them in Webtrekk Marketing Automation
• Creating Onsite Placements
• Creating Campaigns
• Landing Page Optimization in App Context

Preface

The purpose of personalized landing pages is to achieve an improved customer retention to your service by decreasing bounce rates and enhancing the probability of your users progressing in the sales funnel, for example to product detail views.

Example:

You want to recommend products to users, that other users purchased too, when they visited the website via the same campaign or keyword. The focus is to recommend appropriate products based on the user's current behavior. Alternatively, you want to recommend the top sellers of the user's favorite brand. In this case, the focus lies on the product interest based on the long-term behavior of the user.

We recommend embedding two personalization widgets. One, that recommends products of the user's current sales cycle, and another one, that addresses general and long-term interests of the user.

Creating Segments in Webtrekk DMP and Importing them in Webtrekk Marketing Automation

Setting up the necessary target groups in Webtrekk DMP.

Webtrekk DMP > Create new segment

Recent Browsers

 Recent Shopping Cart Abandoners

Recent Buyers

Import the segments in Webtrekk Marketing Automation.

Webtrekk Marketing Automation > Target Groups > Segments > Import Segment

Creating Onsite Placements

Create an onsite placement in order to show products in it, that the user is currently looking for. Choose a suitable element on your landing pages, that you want to personalize ("Div ID").

Webtrekk Marketing Automation > Placements > Onsite > Create a new onsite placement

Now select "Configuration for recommendations" and configure a suitable widget for showing product recommendations.

Optional:

If you have enough space on your landing pages, we recommend setting up a second widget, that shows products basing on general interests of the user. For doing so, repeat the process shown above and create a second placement for showing product recommendations.

Creating Campaigns

Now we are going to set up the campaigns in Webtrekk Marketing Automation.

Webtrekk Marketing Automation > Campaigns > Create a new campaign

We will create several campaigns, that address different target groups. For example, not every user has "abandoned" products in his shopping cart.

The order of the campaigns being displayed on the placements is critical. If the "Hot seller of shop" campaign, for instance, would be shown prior to the "Products of abandoned baskets" campaign, the target group "Recent Shopping Cart Abandoners" were never addressed, because there will be always enough hot seller products.

Current Product Interest Widget

General Product Interest Widget

Now ensure, that the campaigns work as desired by checking the performance data in the section "Placements".

Webtrekk Marketing Automation > Placements > Onsite > Performance

After about one hour the first "Item views" should be measured.

Landing Page Optimization in App Context

In general, the Landing page optimization in app context is similar to the onsite optimization. Only the reco widget is handled differently.

Create a "Reco API" placement. Read our SDK documentation "Recommendation API" in order to ensure an ideal implementation.

Similar to the onsite personalization, set up one or two placements.

Webtrekk Marketing Automation > Placements > Reco API > Create a new recommendation API placement

If you run a website and an app we recommend showing campaigns on both the onsite placement as well as the Reco API placement, to ensure an optimal user experience.

For doing so, extend the campaigns you configured for the onsite personalization by simply adding the Reco API placement.

Now ensure, that the campaigns work as desired by checking the performance data in the section "Placements".

Webtrekk Marketing Automation > Placements > Onsite > Performance

After about one hour the first "Item views" should be measured.