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 Portland brands who have to create the reason to want a $280 boot, not wait for someone to search for one.
Delivered remotely for brands across Portland and Oregon.
The motive has to come from the ad itself. Nobody scrolling Instagram woke up wanting a resoleable boot, a heavier fill weight or a subscription to a roaster they have never heard of — the ad has to build the want, and in this category the want is built out of how the thing is made and how long it lasts. That gives Portland brands an advantage most DTC advertisers would pay for: real factories, real makers, real materials, and a durability story that survives contact with a sceptical viewer.
So the creative plan leans on process and proof rather than lifestyle wallpaper. Stitching, lasting, welt construction, roasting, sharpening, the repair bench, a ten-year-old pair next to a new one, a resole in progress. Named concepts, structured variants, hooks that lead with the objection — price, weight, break-in, whether it is worth it — because the objection is what actually stops the purchase at this price point. Assets get tagged so performance reads by angle, and the durability angle gets tested against the aesthetic angle rather than everyone assuming.
Underneath that, the account is built for throughput. Consolidated campaigns so ad sets clear learning on a modest budget, Advantage+ Shopping with an existing-customer cap we actually picked, and a catalogue segmented by stock cover and margin so dynamic ads stop pushing a style whose common sizes sold out. Conversions API restores the signal the browser no longer provides, and a geo holdout keeps the reported numbers honest — a warm regional following will otherwise let retargeting take credit for demand your community already created.
Two things about advertising into and out of this market. First, demand for the categories Portland makes is weather-triggered in a way that is visible in the auction: the first sustained wet stretch, the first cold snap, the first snow in the Cascades each move intent for rain shells, insulation and boots, and creative shot in July needs to be sitting in the queue ready to run when it happens rather than briefed the week after. Second, the production advantage is local. Because the sample rooms, workshops and factory partners are inside the metro, a shoot day can capture genuine process footage that a brand manufacturing overseas simply cannot get on short notice — and process footage is consistently the hardest-working concept in durable-goods paid social. We also treat repair, resale and warranty as advertising angles rather than service pages, because in this region a trade-in programme or a lifetime repair promise is a reason to buy, and it gives you a prospecting concept nobody can copy by rewriting a headline.
The same standard of work we run for every client — applied to a Portland 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 Portland 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.