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Automated lead enrichment that pulls real-time Meta Ads Library data and generates personalized cold email openers based on each prospect's active ad campaigns.
Eliminated
Manual research per lead
100% of qualified leads
Enrichment coverage
Static, video, UGC detection
Creative classification
The client was running cold outbound at scale — Apollo for sourcing, Airtable as the data hub, PlusVibe for sending. The emails were generic. Every prospect got the same opener regardless of whether they were spending $50k/month on Meta ads or running nothing at all. The personalization layer was manual: someone would check the Meta Ads Library, note what kind of creatives a brand was running, and write a one-liner. That doesn't scale past a few dozen leads a day.
We built an n8n workflow that sits between lead qualification and campaign enrollment. For each qualified lead, it cleans the company name (strips legal suffixes, generic industry words), queries the Meta Ads Library for active campaigns, counts ads by creative type (static, video, UGC), and generates a short personalization line — something like how many active campaigns they're running and whether they lean toward video or static. Leads with active ads get routed into one PlusVibe campaign with the enrichment data attached. Leads with zero ads get routed separately so they don't receive broken or irrelevant personalization. The whole pipeline runs hands-off once a lead hits the qualification threshold.
The manual research step was eliminated entirely. Every outbound email now references the prospect's actual advertising activity — real data, not templates. The enrichment runs automatically for every qualified lead, and the campaign routing ensures no prospect gets a personalization line that doesn't match reality. Post-delivery, we ran several rounds of refinement on creative classification accuracy and campaign upload logic to tighten the output quality.
Timeline: 2 weeks build + ongoing refinement
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