Ā Scaling Pay-Per-Lead The Hard Way (Then The Smart Way)
Iāve been in the performance space for a while. Weāve built and run ad campaigns across a bunch of local service niches (electrical, lighting, automation, etc.), and recently started scaling a proper pay-per-lead model across a few cities. Hereās what Iāve learned the hard way so far: - Tracking and client transparency kill most early PPL models. If the client doesnāt trust your numbers, they stop paying fast. - Lead quality is 90% about offer positioning, not ad targeting. Once we switched from āFree Quoteā to āFree Home Safety Check,ā our CPL dropped and close rate tripled. - Automation only matters if it fits the client. Fancy tech means nothing if their office still writes quotes on paper. Weāre now using AI to follow up with leads, score them based on response behavior, and feed real-time lead quality data back into the ads. Itās getting scary good. Curious.. for those already deep into this model: š Whatās the biggest bottleneck youāre still running into when scaling pay-per-lead? Letās trade notes and see if we can shortcut each otherās learning curve.