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 Sydney brands, where growth is limited by how many genuinely different creative concepts you can put into the auction each month.
Delivered remotely for brands across Sydney and Australia.
Your product has no queue of people already wanting it. The want has to be created, which makes creative volume the actual media plan and everything else administration. For a Sydney brand that means a production system rather than a campaign structure: a monthly slate of genuinely distinct concepts — not colour variants of last month's winner — moving through a test queue with clear rules for what gets scaled, iterated or killed. Accounts that plateau here almost always plateaued in the studio first.
The account itself is built for learning speed rather than granularity. Campaigns consolidated so ad sets accumulate enough conversions to exit the learning phase, Advantage+ Shopping running with the existing-customer cap set deliberately instead of left on default, and catalogue product sets cut by margin and stock cover rather than by collection. That last point bites harder in Sydney than most places, because swim and resort lines turn over against a season and a dynamic ad will cheerfully keep spending on a style whose two most-ordered sizes sold out a fortnight ago.
Signal is the third pillar and the one most inherited accounts are quietly failing. Conversions API with correctly hashed and normalised parameters, clean browser-to-server deduplication, and identifiers that survive an Australian address format and a phone number with a country code your checkout never normalised. Once the signal is honest, the reporting still will not be: Meta will claim more sales than Shopify sees. We resolve that with geo holdouts rather than argument — regions held dark for a defined period so the incremental contribution is measured rather than asserted.
Two Sydney realities shape a paid social plan. The first is that Australia's population is small enough that a well-funded account genuinely runs out of new people — frequency climbs, CPMs rise, and the honest response is either more creative variety to open new audiences or a second market rather than more budget into the same one. We watch reach saturation as a standing metric, not as a diagnosis after a bad month. The second is production timing. The best-looking asset library for this market is shot in Australian summer, which is when the studios in Surry Hills and Chippendale, the creator pool and the light are all pointing the same direction — and it is also the busiest six weeks of the trading year. So the shoot calendar has to run ahead of the media calendar by a full quarter: concepts locked in the spring, shot before the season peaks, and the same footage then reused six months later for a northern-hemisphere spring-summer push if you are running a US or UK market. Auction pressure follows the local calendar too, with Click Frenzy, Black Friday and Boxing Day stacked into one expensive stretch that a flat monthly budget handles badly.
The same standard of work we run for every client — applied to a Sydney 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 Sydney 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.