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.
Facebook and Instagram for Detroit brands that need to create demand rather than wait for someone to type a part number.
Delivered remotely for brands across Detroit and Michigan.
A fastener has never stopped anyone mid-scroll. The channel only works here when the ad gives someone a reason they did not already have — a rust repair that looks satisfying, a tool that removes a step from a job, a build sequence that makes a modification feel achievable on a Saturday. That is a creative problem, not a targeting one, and the accounts that win in this market are simply the ones putting more genuinely different concepts into the auction each month.
Detroit has an unfair advantage in supplying that footage and almost nobody uses it. There is a shop floor, a lift, a press, an actual technician who can explain in twenty seconds why the cheap version fails. Install content, teardown content, before-and-after on a salt-eaten rocker panel, honest comparison against the part that failed — these outperform studio product photography consistently, and they can be produced continuously because the work is happening anyway. We organise them as named angles so performance can be read by concept over time rather than asset by asset.
The account then has to respect what makes this catalog different from apparel. Dynamic product ads that ignore fitment show people parts that do not fit their vehicle, which produces clicks, complaints and returns. We constrain product sets by margin, stock cover and broad platform relevance, keep Advantage+ Shopping running with a chosen existing-customer cap instead of the default one, and hold prospecting funded separately so a warm enthusiast audience does not quietly consume the entire budget.
This market has a demand calendar you can plan creative against months ahead. Autorama at Huntington Place in late winter starts the conversation, spring is when projects get committed to and parts get bought, and the whole enthusiast year culminates on Woodward Avenue in August — which means a build-focused brand should be seeding creative in March, not launching a campaign the week of the cruise when every regional advertiser is bidding against the same attention. Winter flips the register entirely: the same audience that wants a valve cover in June wants an undercoating solution and a battery in January, and the creative has to change tone from aspiration to problem-solving. There is also a large trade audience here who are on Meta as people, not as buyers — technicians and shop owners who respond to content that respects their expertise and ignore anything that reads as consumer marketing. We produce for those registers separately, and we plan the media calendar against the show season rather than dividing the annual budget by twelve.
The same standard of work we run for every client — applied to a Detroit brand’s realities.
Full service detailCampaigns 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.
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 connected through the Shopify channel, product sets segmented by margin and stock cover, and DPA templates that look designed rather than machine-assembled.
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.
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.
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.
We do not work off a rate card. Every Detroit 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 scopedPixel, CAPI, deduplication, match quality and catalogue health checked first. Everything else in this service is downstream of what Meta knows about your buyers.
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.
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.
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.
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.
Anonymised under NDA. Figures pulled from the client’s own analytics.
~$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.
~$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.
“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.”
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.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.