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Lifecycle flows

Post-Launch Flow QA: Data Integrity & Performance Check

Run a structured post-launch QA on a new Klaviyo flow, starting with recipient vs. trigger data reconciliation.

Marika Tselonis — Director of Retention, KULIN
Paste into Composer or any AI
Post-launch Flow QA: Review the [FLOW NAME] flow [X] days after launch as a post-launch QA. Data integrity: Does the flow recipient count match the trigger event volume? Compare the recipient count in Klaviyo against the metric that triggers the flow, and flag any gaps. Positive engagement: How are open, click, and conversion rates? Are recipients converting on the flow's actual goal, not just any order? * Negative engagement: How are unsubscribe and spam complaint rates? Then, give a verdict. If performance is healthy, draft a one- or two-sentence update summarizing the win. If not, identify the specific problem areas and list follow-up tasks (e.g., content revisions, A/B tests, trigger or segmentation fixes).
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