Account Consolidation
Campaigns collapsed into a structure with enough conversion volume per ad set to exit learning, plus exclusion logic that stops prospecting and retargeting bidding against each other.
Columbus, OH
Meta Ads Management in Columbus, OH
Facebook and Instagram for brands whose growth depends on how many genuinely different concepts reach the auction each month.
Delivered remotely for brands across Columbus and Ohio.
Grow · Columbus
Why Columbus brands come to us for this
- Creative concepts briefed from review text and returns reason codes, so ads answer the fit objection that actually causes the cancellation
- On-body creative at more than one size, because a single sample-size model is the fastest way to buy a return
- Product sets segmented by margin and size-run completeness, so dynamic ads stop spending on styles that are broken in the middle sizes
- Drop flights judged on audience assembly and launch-day revenue, not on same-day ROAS during the warm-up
- Existing-customer share capped deliberately, so a strong local following stops flattering the account
Meta has to supply the reason to buy, and in apparel the reason is almost always a fit or feeling problem being solved on camera. That makes the creative brief unusually concrete here: how it runs, how it moves, what it looks like on a body that is not a sample size, what the fabric does after three washes. Concepts drawn from your review text and returns reasons outperform brainstormed angles consistently, because they answer objections the buyer already has rather than ones a copywriter imagined.
The account is then built for throughput rather than cleverness. Campaigns consolidated so ad sets gather enough conversions to leave learning, Advantage+ Shopping running with the existing-customer cap set on purpose rather than left at default, and a testing cadence that has the next concept live before the current winner starts to tire. Interest stacking has been a rounding error since targeting moved inside the algorithm; the honest lever is how many meaningfully different concepts you can ship in a month and how cleanly they are tagged so results read by angle.
Catalogue is where apparel accounts leak. Dynamic product ads will keep spending happily on a style whose two most-bought sizes went out of stock last Thursday, and the reporting will show a perfectly reasonable ROAS while your click-through lands on a page where half the buyers cannot order. We segment product sets by margin and by stock cover including size-run completeness, and we keep the Shopify channel feeding it properly rather than trusting a stale catalogue sync. Then Conversions API restores the signal, and a geo holdout checks whether any of it was incremental.
Local context
Drops, an August surge and a warm campus audience
The Columbus media calendar has three features that change how an account is run. First, drops: if your model is timed launches, Meta's job in the days before is audience assembly rather than immediate conversion, and judging a pre-launch flight on same-day ROAS will make you turn off the thing that filled the queue. Second, August. The campus population returns, merchandise and home-goods demand spikes in a compressed window, and auction pressure in this geo rises with it — budget needs to be committed before the curve rather than chased into it. Third, the warm-audience trap. Brands with a strong local following, a Short North storefront or a founder with genuine reach in this city will see retargeting and Advantage+ absorb budget re-selling people who already knew them, reporting beautifully while new customer acquisition flatlines. We hold prospecting funded separately, cap the existing-customer share explicitly, and judge the account on new customers rather than blended return.
Scope
What Meta Ads includes
The same standard of work we run for every client — applied to a Columbus brand’s realities.
Full service detailAdvantage+ Shopping Build
ASC campaigns with the existing-customer budget cap set deliberately, creative slotted in by concept rather than dumped in bulk, and a clean boundary with the manual prospecting that feeds it.
Catalogue & Dynamic Product Ads
Catalogue connected through the Shopify channel, product sets segmented by margin and stock cover, and DPA templates that look designed rather than machine-assembled.
Conversions API & Signal Repair
Server-side events with hashed identifiers, correct browser-to-server deduplication and an event match quality target of 8 or better. Since iOS 14, signal quality is a bidding lever.
Creative Testing Cadence
A rolling calendar of concepts, hooks and formats across UGC, static and motion, briefed from customer language and structured so results read by angle rather than by ad ID.
Incrementality & Geo Holdouts
Geo-split and conversion-lift tests across prospecting and retargeting, so budget decisions rest on revenue the business actually gained rather than on what the platform claimed.
Scoped and quoted for your Columbus store
We do not work off a rate card. Every Columbus engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedHow it runs
From kickoff to results
Signal Audit
Pixel, CAPI, deduplication, match quality and catalogue health checked first. Everything else in this service is downstream of what Meta knows about your buyers.
Consolidate
We cut the account back to a structure with enough conversions per ad set to learn, then set the prospecting-to-retargeting split on purpose instead of by accident.
Build the Creative Engine
Angles mined from reviews, support tickets and comment threads become a monthly production plan with named hooks and a fixed number of new concepts entering the auction.
Test at Concept Level
Naming and structure that roll performance up by angle, hook and format, so the lesson outlives the asset that taught it and the next round starts smarter.
Prove It, Then Scale
A geo holdout or lift test before any step change in budget. Meta reports on itself; we would rather know what happens to revenue when the ads stop.
Proof
Meta Ads results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Performance Apparel (DTC)
~$6M/yr DTC, 900+ SKUs across size and colour variants, US · Shopify Plus
Returns ran at 31% and refund cost consumed the entire paid media margin. One size chart image served 40 different fits, and 62% of add-to-carts started on a collection page that never showed variant availability. The named constraint: no new product photography budget, so every fix had to come out of the existing asset library and the review corpus.
+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
Food & Beverage (Specialty Coffee)
~$3.1M/yr, 28 SKUs, subscription + one-time, US · Shopify (Klaviyo, Recharge)
A 14-day roast window meant every discount cut into a 41% gross margin that could not be rebuilt. First-order CAC was $52 against a $38 AOV, so the business only worked on the second order and 64% of customers never placed one. The named constraint: no discount deeper than 10%, ever, on any channel.
+8%conversion rate2.4% to 2.6%. The smallest number here and the least important one
$38 → $50average order value+32%, once the sampler replaced the single-bag entry offer
36% → 58%90-day repeat purchase ratethe metric the entire engagement was designed around
+$410kannualized contribution marginCAC fell 19% while AOV and repeat rate rose, at zero incremental discount cost
In their words
Clients on this work
MER 2.1 → 3.4
“Our last agency was reporting a 6.2 ROAS in Meta while the bank account told a completely different story. First thing these guys did was get CAPI wired up properly and rebuild the product catalogue feed, so the dynamic ads stopped pushing flavours we hadn't stocked in months. Then they made us report blended MER from month one and the first number was ugly and honest. It took about four months to move MER from 2.1 to 3.4, and I actually trust the dashboard now, which I did not expect to say about an ad agency.”
Co-founder & COOPet products brand, ~$9M/yr · Chicago, IL
Verified via Shopify Partner referralFAQ
Meta Ads in Columbus — your questions
As audience building with a different success metric. Pre-launch flights should be judged on qualified list and audience growth, back-in-stock signups and video engagement depth — the inputs to launch day — not on purchases that have not been made available yet. Then launch day runs hot with the catalogue and the winning concepts already proven. Brands that judge the warm-up on ROAS routinely kill the campaign that would have made the launch.
It helps organically and it distorts the ad account. A warm in-market audience means retargeting and Advantage+ re-convert people who would have bought anyway, and the blended numbers look excellent while cold acquisition does nothing. We separate prospecting, cap the existing-customer share in ASC on purpose, and judge on new customers acquired. Founder-led creative is often the best asset you have — it should be running at people who have never seen it.
It works differently. High-consideration, high-freight products rarely convert on a first click, so the account is built for a longer path: educational and demonstration creative doing the heavy lifting, lead and email capture treated as a real conversion event, and value-based bidding fed by actual order value rather than a flat purchase event. Judging that account on a seven-day click window will consistently under-report what it is doing.
Enough that the next concept is in the auction before the current one fatigues, which for most brands at this size means a steady monthly cadence of genuinely different angles rather than variations on one. Recuts and aspect ratios do not count as concepts. The practical constraint is production, which is why we plan shoots to yield multiple angles per session rather than one hero asset and a pile of crops.
Barely. Broad and Advantage+ beat hand-built interest stacks in almost every account we take over, because the algorithm holds more signal about your buyers than any interest list does. What still matters is exclusions, budget split between prospecting and retargeting, and what the ad actually says.
Because it counts every purchase by someone who saw an ad inside the attribution window, whether the ad caused it or not. That is useful for in-platform optimisation and useless as a business number. We optimise inside Meta on Meta's data, then judge the channel on blended MER and holdout results.
You switch Meta off across a matched set of regions, leave it running elsewhere, and measure the revenue difference. It is the closest thing to a controlled experiment paid social allows. Worth running before a large budget step change, then once or twice a year to keep everyone honest.
Next step
Meta Ads for your Columbus brand.
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.