Figuring out why a customer leaves or hesitates during shopping mode is a tough challenge in digital commerce. Here's one possible remedy: Constentsquare is partnering with Klaiyo to help
brands react instantly to consumer behavior.
The arrangement, which pairs Contentsquare’s behavioral intelligence with Klaviyo’s B2C CRM, is now available to joint customers.
Among other things, it can help users deliver personalized product emails based on intent and hesitation.
Brands have always tried to understand customer behavior and use it for targeted
marketing. But they have largely had to proceed manually, using disconnected tools to pull data while relying on specialist data teams.
Often, the marketing window had closed by the time
they got through this tedious process.
“Understanding 'why' a customer hesitates or drops off is the holy grail of digital commerce,” says Chris Formosa, global vice
president of alliances and ecosystem at Contentsquare, in a statement.
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Formosa adds that, by pairing Contentseuqare’s behavioral intelligence directly with Klaviyo’s
autonomous B2C CRM, “we are eliminating data silos and allowing brands to react to human behavior instantly.” This, he argues, increases conversions and customer loyalty.
According to Contentsquare, the integration helps users with:
- Saving sales at checkout by detecting customer friction points and triggering personalized recovery
campaigns.
- Rewarding the best customers before they leave. Engagement signals from high-value customers are used to activate personalized VIP experiences.
- Winning back lost customers by identifying dormant browsing and dissatisfied shoppers.
- Enriching product recommendations based on detailed product
engagement signals.
"The most impactful customer experiences feel like a personal, one-on-one conversation,” says Eddie O’Brien, senior vice president global
partnerships at Klaviyo.
O’Brien contents that the partnership “gives Klaviyo users unprecedented access to customer experience insights, allowing our autonomous CRM to deliver
hyper-targeted, high-converting messages at the precise moment a shopper needs them.”