Do Teaser Tracking and Recommendation Tracking serve the same purpose?
No.
They measure different types of onsite elements and complement each other.
Teaser Tracking focuses on promotional elements (e.g., banners, tiles, hero modules) and analyses visibility, clicks, engagement, and conversions.
Recommendation Tracking focuses on product recommendation widgets and analyses product-level performance, including placement, algorithm, and position.
Where should I use Teaser Tracking?
Use Teaser Tracking when you want to understand how well promotional teasers guide users toward goals, e.g.:
homepage banners
campaign tiles
editorial or marketing promos
seasonal or rotating hero elements
It provides insight into whether teasers are viewed, clicked, and whether they lead to meaningful actions.
Where should I use Recommendation Tracking?
Use Recommendation Tracking when you want to understand which recommended products actually perform, e.g.:
“Similar items” widgets
“You may also like” sections
personalisation-based recommendations
dynamic product carousels
It helps answer questions like:
Which recommended products get attention?
Which ones are clicked?
Which ones convert after being clicked?
Are the two features related?
Yes, conceptually — both track onsite elements.
But the data model and insights differ:
Teaser Tracking is teaser-centric (views, clicks, engagement).
Recommendation Tracking is product-centric (product context, widget behaviour, 7-day attribution).
Can I use both at the same time?
Yes.
And in many setups, this is exactly what makes sense:
Teasers measured via Teaser Tracking
Recommendation widgets measured via Recommendation Tracking
They don’t overlap and don’t replace each other.