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trbo x Findologic
trbo is a leading technology provider for dynamic on-site personalisation, optimisation and testing. The data-driven platform offers an all-in-one solution to create personalised experiences for each user, dynamically changing the journeys in real-time and measuring their success. To do this, trbo’s self-learning algorithm analyses user behaviour based on over 50 visitor characteristics. This data then allows targeted delivery of content, optimising the shopping experience for all.
Use cases
A catalyst for success: trbo & Findologic
Complete your suite with our comprehensive features:
Stellen Sie sicher, dass Ihre Kunden zu jedem Zeitpunkt die für Sie relevantesten Produktvorschläge erhalten. Die nahtlose Integration von trbo & Findologic pusht anhand von Verhaltensdaten Produkte aus relevanten Segmenten in Ihre Onsite-Suche & Suchergebnisse und schafft damit ein personalisiertes Einkaufserlebnisse für jeden Nutzer.
Die meisten Benutzer starten Ihre Online-Recherche mit generischen Suchbegriffen wie Markennamen oder Kategorien. Dabei können nicht zu jedem Zeitpunkt die gewünschten Ergebnisse garantiert werden. Durch die umfassend personalisierte Onsite-Suche von trbo & Findologic garantieren wir ein einzigartiges Einkaufserlebnis über die gesamte Customer Journey hinweg.
Recommendations for no-results pages
It doesn’t have to be a dead-end when a user is met with a no-results page. Data-fueled personalisation and product recommendations present an opportunity for retailers to maintain a user’s interest and avoid abandonment.
Recommendations for no-results pages
It doesn’t have to be a dead-end when a user is met with a no-results page. Data-fueled personalisation and product recommendations present an opportunity for retailers to maintain a user’s interest and avoid abandonment.
Findologic & trbo
Leading brands that trust in the power of complementary, best-of-breed technologies
Use Cases
Utilising a self-learning algorithm, our recommendations get more intelligent as time goes on, continuously optimising content based on clicks and conversion rates.
Personalised product recommendations through logic
In order to be able to provide recommendations that are tailored to each user's needs, product logics must be defined in the Recommendation Engine. For example, the logic for recommended products selects products according to a sophisticated algorithm. This algorithm takes into account the user's surfing behaviour on the basis of his statistical twins and combines this with sales of the respective products.
Recommendations based on similarity
When shoppers browse they might look at several products for comparison. By suggesting similar products, shoppers can easily click and compare products within the same category.
"Customers also bought..." recommendations
Inspire shoppers with products that represent a particular pattern or affinity for shoppers within a particular demographic. Recommend products that are frequently ordered or viewed by visitors within the same journey as the original product.
Manually assigned recommendations
Product recommendations that complete a package or can be used together can trigger impulse purchases. It enable customers to buy bundles or associates accessories that they may not have known they needed.
Global product carousels
Show personalized product recommendations to shoppers on any page, and choose a variety of recommendation types including trending, new, highly-rated, and related to past purchase.
Virtual categories
With this feature, we offer you the possibility to create dynamic landing pages quickly and easily in the future, without having to make error-prone interventions in your data feed beforehand. You create the page in the shop system and fill it with the desired content. In the Findologic backend, you can define the desired products by filter and store the corresponding URL..
Integrating trbo with Findologic offers any online shop a real advantage. Enriching your already existing datafeed with our Perso-API means you can generate personalized search result pages and no result pages for your customers in no time“
