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.
Creating demand for a GTA brand in a feed that has no Canadian news in it, and where your two audiences need genuinely different creative.
Delivered remotely for brands across Toronto and Canada.
The reason to want the thing has to be supplied by the ad itself, which makes creative the media plan — and for a Toronto brand it means two creative plans, not one. The American viewer has never heard of you and needs the whole proposition delivered in three seconds by a stranger. The Canadian viewer may already know you from a Queen West shop or a friend, and responds to a completely different hook. Running one creative set against both and reading a blended CAC is how GTA brands conclude that Meta stopped working.
Canada also has a structural quirk that changes what the feed looks like here. Since the Online News Act, Meta has blocked news content for Canadian users on Facebook and Instagram, which means the press coverage your PR team earned does not circulate the way it does in the US, and third-party validation has to come from creators, reviews and your own owned assets instead. Practically, that raises the weight of UGC and testimonial formats in the Canadian mix and lowers the value of an earned-media strategy that assumes articles will be shared.
Underneath the creative, the usual mechanics decide whether any of it can be measured. Consolidated campaigns so ad sets carry enough conversions to exit learning. Catalogue wired through the Shopify channel with product sets segmented by margin and stock cover. Conversions API restoring the signal the browser lost, with deduplication done properly and event match quality treated as a bidding lever. Then a geo holdout, because Meta reports on its own homework and a country border is a convenient line to draw a test across.
GTA creative planning has a hard calendar edge that Sunbelt brands do not face. If you sell outerwear, boots, winter accessories or anything cold-weather, the entire demand-creation window opens with the first genuinely cold week in October and closes hard after Boxing Day, and creative shot in that window is already too late. Production has to happen in spring for assets that will run in autumn, which means briefing winter concepts while the city is at twenty-five degrees. On top of that, the two markets need different framings of the same product: an Ontario buyer needs a minus-twenty story and a Chicago or Boston buyer needs the same product positioned against brands they already know. We build the concept calendar so both variants of every winning angle exist before the season starts, because there is no time to iterate once the window opens.
The same standard of work we run for every client — applied to a Toronto 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 Toronto 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.