Klaviyo

Problem: Cart recovery flows treat all abandoners the same, ignoring whether they saw a discount, free shipping, or urgency variant. This leads to generic reminders that don’t match the on-site experience and underperform. Solution: Convert sends experiment and variation exposure into Klaviyo as custom events. You segment abandoners by the exact pricing, offer, or layout test they saw and tailor cart recovery emails/SMS to that experience. Outcome: Shoppers who saw a discount test can get matching or escalating offers, while others receive value-based nudges. Cart recovery becomes more relevant, boosting open, click, and checkout rates without blanket discounting.

Problem: Post-purchase flows ignore which product page, bundle, or upsell experiment influenced the order. Everyone receives the same follow-up, missing chances to reinforce what actually drove their purchase. Solution: Convert logs the specific product page or upsell test variant each buyer saw as a Klaviyo custom event. You branch post-purchase flows based on that event, adjusting education, cross-sells, and messaging. Outcome: Customers receive guidance and offers that align with the promises and layout they saw on-site, increasing repeat purchase rates, reducing returns, and strengthening trust in your brand narrative.

Problem: New subscribers enter a single welcome series, even though they may have seen different homepage, signup, or incentive experiments. This one-size-fits-all approach wastes high-intent early engagement. Solution: When a visitor is bucketed into a Convert test, that exposure is pushed to Klaviyo. You create welcome series branches that reflect the exact signup incentive, homepage hero, or messaging variant they experienced. Outcome: New subscribers see consistent messaging from site to inbox, improving first-purchase conversion and letting you quickly identify which on-site experiences pair best with which welcome flows.

Problem: Broadcast campaigns rely on broad behavioral or demographic filters and ignore how users responded to recent A/B tests. You can’t easily target people who engaged with a specific layout, offer, or feature exposure. Solution: Convert streams experiment and variation names into Klaviyo as custom events. You build segments of users exposed to winning or losing variants, or to specific feature tests, and target them with tailored campaigns. Outcome: You can double down on audiences that responded well to certain experiences and re-engage those who saw underperforming variants with corrective messaging, driving higher campaign ROI and cleaner learnings.

Problem: Facebook and Instagram campaigns often promote offers or creatives that don’t match the on-site tests visitors see. This disconnect confuses users and makes it hard to scale winning experiences across channels. Solution: Using Klaviyo segments built from Convert experiment events, you sync audiences to paid social based on which variant users saw. Ad creative and offers can mirror the exact on-site experience or test branch. Outcome: Prospects see consistent messaging from ad to site to email, improving trust and conversion. You also learn which on-site variants perform best when extended into paid social, informing both CRO and media strategy.

Problem: Connecting A/B test data to lifecycle marketing usually requires custom dev work or manual exports, slowing down experimentation and limiting how quickly marketers can act on new learnings. Solution: With a simple JavaScript snippet, Convert automatically pushes experiment and variation data into Klaviyo as marketer-friendly custom events. No additional engineering or data pipelines are needed. Outcome: Lifecycle and growth teams can rapidly spin up new flows and segments tied to live experiments, shortening the loop between test insight and revenue impact while keeping experimentation workflows fully in marketing’s control.