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 Singapore brands who have to manufacture demand in four countries where the same ad performs very differently in each.
Delivered remotely for brands across Singapore and Singapore.
Demand here is manufactured rather than harvested, and for a Singapore brand that job is complicated by geography, because the cheapest impressions in your auction are almost never in your home market. Indonesia and the Philippines will deliver traffic at a fraction of the Singapore CPM, and an unmanaged campaign will drift there immediately, hand you a flattering cost per click and a terrible cost per delivered order once freight, returns and payment failures are counted. Deciding deliberately which markets you buy demand in, and funding them separately, is the first structural decision in a Singapore Meta account.
Then creative, which is the media plan. Fatigue sets in fast in a small home market — a Singapore-only audience is genuinely small enough that frequency climbs within days, and running four assets a quarter is not a strategy, it is a slow decline. The volume problem is compounded by market fit: a hook that lands with a Singapore buyer often does not land in Kuala Lumpur or Jakarta, and the fix is not subtitles. It is producing concepts with regional variants planned into the shoot, so the second market never runs on leftovers from the first.
Then signal. Cross-border checkout is where match quality quietly degrades: phone numbers with country codes your form never normalised, addresses without a state field, buyers on regional wallets and bank-transfer methods that leave thinner identity data than a card. Conversions API with properly hashed and normalised parameters, clean browser-to-server deduplication and a catalogue feeding correct per-market pricing is what lets the algorithm learn who your Malaysian buyers actually resemble instead of guessing from a sparse signal.
This is the defining tension in a Singapore paid social account. Meta will happily find you enormous reach in Indonesia and the Philippines at a cost per thousand that makes the Singapore auction look absurd, and for a brand shipping from Singapore that reach frequently converts into orders with poor margin, long delivery times, higher failure rates on cash-on-delivery-conditioned buyers and a return path nobody planned. Meanwhile a Singapore or Australian buyer costs more to reach and delivers a clean, fast, well-paid order. So we set country targeting explicitly rather than leaving Advantage+ to optimise for the cheapest conversion, fund each market as its own line, and judge every one on contribution after freight rather than on ROAS. The calendar is the other local factor: CPMs across the region compress and then spike hard around 9.9, 10.10, 11.11 and 12.12 as marketplace sellers pour budget into the same auction, and a brand planning a launch into 11.11 week without a budget uplift is paying a premium nobody modelled.
The same standard of work we run for every client — applied to a Singapore 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 Singapore 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.