ROAS 0.91 → 1.52.
Approximately USD 20,300 net profit in June.

Required keyword: PAINT

I have managed Meta campaigns hands-on since 2018. My lead-generation work includes clinics and appointment-based local businesses using instant forms, landing pages, ManyChat, CRM routing, Pixel and CAPI. I own setup, pacing, creative briefs, event QA and reporting across as many as seven accounts.

My largest operation reached approximately USD 85,000 per month in spend across two Meta accounts. I have not managed a painting-contractor account. I would learn each contractor's services, territory, estimate capacity, qualification rules and sales process, then manage toward qualified leads, booked estimates, ABR%, show rate, closed jobs and ROAS.

Paid media connects the ad promise to the next commercial event. Lead quality can break at the ad, form, routing, follow-up, booking or sales-feedback stage. I trace that chain before changing the campaign.

Yes. I have managed clinics and appointment-based local businesses where geography, response speed and sales follow-up determine whether a Meta lead becomes revenue. One audited local-service campaign generated leads at USD 83.65 CPL. Across this work, I use CRM and booking feedback to judge performance beyond CPL.

My local-service experience is outside the painting industry. The transferable work covers service-area targeting, offer and form alignment, mobile QA, immediate routing, contact attempts, qualification, booking, no-shows and sales outcomes. I would use NEW ERA's painting benchmarks, recorded calls and sales feedback to learn which lead signals matter for each contractor.

I begin with the contractor's service area, job mix, minimum job value, estimate capacity, disqualifiers and acceptable cost per booked estimate. I confirm NEW ERA's definitions for valid leads and ABR%, then map every status through booked estimate, show, quote and closed job.

I build the campaign structure, exclusions, naming and UTMs. The form keeps only questions used for qualification or routing. I test the full mobile path, thank-you state, Pixel/CAPI events and deduplication. Test submissions from each live path must reach the CRM with source, ad, answers and timestamp intact. I also verify ownership, notifications and first follow-up.

The final QA covers budget, dates, geography, placements, copy, destination, policy risk and reporting. After launch, I verify spend, event counts and one actual routed lead before the first optimization window.

I first reconcile Ads Manager and the CRM by campaign, ad, form and date. I check missing or duplicate events, spam, out-of-area submissions, routing delays and contact attempts.

Then I compare valid-lead rate, contact rate, qualification, ABR%, no-shows, estimate outcomes, closed jobs and ROAS. Form answers, call dispositions and sales notes locate the break: the ad may attract the wrong homeowner, the form may admit weak intent, routing may be late, or valid demand may be lost during follow-up and booking.

The fix follows that evidence. I may clarify the ad promise, tighten a qualification question, repair routing or audit follow-up and booking. When volume and data quality allow, I send QualifiedLead or another downstream conversion event to Meta only after NEW ERA defines and approves that event.

I check delivery, spend, pacing, disapprovals, event health and lead routing every business day. Tracking or routing failures receive immediate attention.

New tests usually receive two to four days, adjusted for spend and conversion volume. Stable campaigns receive a deeper review every three to five days. I avoid resetting learning or reacting to a small sample without a clear reason.

The weekly review joins media and CRM data. I read CPM, CTR, form or landing-page conversion and CPL beside valid leads, contact rate, ABR%, no-shows, booked-estimate cost, closes and ROAS. Breakdowns cover creative, audience, placement, geography and lead age. Every material change has a written reason, an owner, the metric it should affect and the next review date.

I build angles from customer language, sales feedback and results by hook family. For a new painting account, I would review call notes, form answers, lost reasons, project photos, reviews, service mix and seasonal demand. These would be starting hypotheses because I have no painting-account results to claim.

Initial angle families could cover visible exterior deterioration with local before-and-after proof; an interior room transformation with a clear timeline; preparation, cleanliness and property protection; or estimate confidence supported by scope, warranty and process proof. Weather and season should vary by market across the United States and Canada.

Each brief names the homeowner problem, promise, proof, hook, format, required assets and validation metric. Creative decisions use qualified leads and booked estimates by ad. In June 2026, my tagged testing pipeline processed 1,008 ads; the best hook family reached ROAS 1.63.

Yes. I am comfortable recording concise Loom updates in English. I would open with the contractor's commercial result for the review period: spend, valid leads, booked estimates, ABR%, no-shows, cost per booked estimate, closed jobs and ROAS when revenue data is available.

I would then show the ads, forms or funnel stages behind the change. The update would state what moved, what the evidence supports, what remains uncertain, the next test and any decision or asset needed from the team. The same actions stay in the account log, so the Loom adds reasoning and context without becoming the only record.