Meta Advertising Campaigns

This is paid social run end to end for local home and outdoor service companies: campaign strategy, creative production, audience targeting, lead capture, and the weekly iteration loop that keeps performance improving.

The figures on this page are blended across managed accounts and verified directly against the advertising platform. Individual client accounts are kept anonymous. What is worth showing is not whose account it was, but the method that moved it.

A local service business is not running a large budget. When a few hundred dollars a month has to produce real customers, there is no room for spend sitting on creative that does not convert.

The failure mode is almost always the same. Several ads run at once, the budget splits between them, and the account average looks mediocre. The average hides the fact that one ad is doing well and the others are quietly consuming the money.

The most useful thing this work produced was a correction to how the accounts were being read.

Click-through rate is the metric most people watch, and on these accounts it was actively misleading. In one account the ad with the higher click-through rate cost roughly three and a half times more per lead than the ad with the lower one. In another, the months with the strongest click-through rates were the months with the worst cost per lead.

Cheap clicks were the problem, not the goal. Creative that buys fewer, more expensive, better qualified clicks wins on the only metric that pays the business. Every decision here is made on cost per lead.

The most valuable thing production taught these accounts is that polish is not the objective.

In one account the best performing ad, at roughly forty dollars per lead, was an unretouched phone photo. Work truck in the driveway, chain link fence, debris still in frame, no text overlay, no logo. It reads like a neighbor posted it. The worst performers in that same account were the polished, text heavy designed creatives, which produced the two lowest click through rates on the account.

Video works the same way. The winning video in another account is real crew footage with a local, time bound hook rather than a produced brand spot. In both cases the ad that looked least like an ad won.

That finding is now the creative rule for this kind of account. Shoot real work, keep the hook specific and local, put the qualifying detail in the copy instead of on the image, and resist the urge to design it into something that looks professional and stops converting.

Each account is reviewed on a weekly cycle. Performance is pulled directly from the platform, compared against the previous period, and written up as a short decision record: what happened, why it likely happened, what to keep, and what to cut.

Proposed changes are logged before anything goes live. Budget moves above twenty percent need written approval from the account owner, and a winning ad is never edited mid flight. The documentation matters as much as the optimization, because it is what makes a result repeatable instead of lucky.

Frequency, cost per lead, and lead volume are tracked as standing signals. When frequency climbs or cost per lead drifts past a set threshold, that triggers the next creative test rather than waiting for performance to fall.

Across the managed accounts, more than two thousand dollars of ad spend produced sixty one qualified leads at a blended cost under thirty three dollars each, with the best performing creative reaching thirteen dollars per lead.

The results came from a method rather than a budget increase: produce creative that looks like real work instead of advertising, measure honestly, judge on cost per lead instead of the metric that looks good, find the ad that is actually working, and move the money to it faster than instinct suggests.