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.
San Francisco, CA
Meta Ads Management in San Francisco, CA
Meta is where you create demand that did not exist yet — which in this market means creative volume, not audience tinkering.
Delivered remotely for brands across San Francisco and California.
Grow · San Francisco
Why San Francisco brands come to us for this
- Weekly creative cadence organised by angle, so you learn arguments rather than thumbnails
- Advantage+ Shopping with the existing-customer cap set on purpose, not left at default
- Catalogue and product sets structured by margin, connected through the Shopify channel
- Conversions API and match quality built for an audience that genuinely opts out
- Active subscribers excluded from prospecting, and retargeting kept out of prospecting's auction
A category nobody has heard of has no demand to harvest. That is what Meta is for, and it is why a Meta account behaves nothing like a search account: there is no query to harvest, so the entire job is producing enough distinct creative ideas that one of them makes a stranger stop scrolling and reconsider a habit. For San Francisco brands — refills replacing a disposable, a supplement replacing a routine, a device replacing a chore — the ad has to teach before it can sell, and teaching takes many attempts.
So the operating rhythm is creative, not settings. A steady weekly cadence of new concepts, organised by angle so you learn which argument works rather than which thumbnail did, with each angle tested across formats before it is retired. Winners get iterated deliberately — new hook, new opening three seconds, new proof — instead of being duplicated until fatigue kills them. Accounts we inherit here are usually the reverse: five ads running for eight months and a very active hand on the audience settings.
Structurally, that means consolidation and letting the system work. Advantage+ Shopping campaigns with the existing-customer budget cap set deliberately rather than left at default, a clean boundary with the manual prospecting that feeds new concepts in, exclusion logic so prospecting and retargeting are not bidding against each other, and a catalogue connected through the Shopify channel with product sets that mirror margin rather than dumping every SKU into one feed. For subscription brands, we exclude active subscribers from prospecting — an obvious point that a surprising number of accounts get wrong and pay for daily.
Local context
A market that opts out, blocks and reads the privacy prompt
Your Bay Area audience is unusually equipped to make itself invisible. Tracking prompts are declined, ad blockers are normal rather than niche, and California's privacy rules give people a genuine opt-out of sale and sharing that a meaningful number of them exercise — some of it automated through browser signals. The practical consequence is that browser-side pixel data alone reports a fraction of reality, and the accounts that suffer most are the ones whose optimisation is starved of signal rather than the ones with bad targeting. So Conversions API with good match quality, proper deduplication and clean identifiers is not an analytics nicety here, it is the difference between a delivery system that learns and one that guesses. Then, because platform-reported numbers will still overstate, we anchor decisions to Shopify order data and periodic holdout tests rather than defending a ROAS figure the finance side does not recognise.
Scope
What Meta Ads includes
The same standard of work we run for every client — applied to a San Francisco brand’s realities.
Full service detailAdvantage+ Shopping Build
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 & Dynamic Product Ads
Catalogue connected through the Shopify channel, product sets segmented by margin and stock cover, and DPA templates that look designed rather than machine-assembled.
Conversions API & Signal Repair
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.
Creative Testing Cadence
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.
Incrementality & Geo Holdouts
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.
Scoped and quoted for your San Francisco store
We do not work off a rate card. Every San Francisco 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 scopedHow it runs
From kickoff to results
Signal Audit
Pixel, CAPI, deduplication, match quality and catalogue health checked first. Everything else in this service is downstream of what Meta knows about your buyers.
Consolidate
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.
Build the Creative Engine
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.
Test at Concept Level
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.
Prove It, Then Scale
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.
Proof
Meta Ads results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Performance Apparel (DTC)
~$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.
+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
Food & Beverage (Specialty Coffee)
~$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.
+8%conversion rate2.4% to 2.6%. The smallest number here and the least important one
$38 → $50average order value+32%, once the sampler replaced the single-bag entry offer
36% → 58%90-day repeat purchase ratethe metric the entire engagement was designed around
+$410kannualized contribution marginCAC fell 19% while AOV and repeat rate rose, at zero incremental discount cost
In their words
Clients on this work
MER 2.1 → 3.4
“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.”
Co-founder & COOPet products brand, ~$9M/yr · Chicago, IL
Verified via Shopify Partner referralFAQ
Meta Ads in San Francisco — your questions
Enough distinct concepts that the algorithm has real choices, which for most brands in the one to five million range means a steady weekly flow rather than a quarterly shoot. What matters more than raw count is variety of angle: a demonstration, a founder explanation, a customer testimonial and a comparison are four different arguments, and four versions of one argument teach you almost nothing. We plan the calendar by angle and track performance at that level.
It works, but signal quality decides how well. When a large share of an audience declines tracking or blocks the pixel, browser-side data alone underfeeds the delivery system and performance degrades in a way that looks like creative failure. Conversions API with strong match quality recovers much of that. What you should not expect is platform reporting that matches Shopify — it will not, and we reconcile rather than argue with it.
Alcohol advertising is permitted under Meta's policies with age restrictions and geographic limits, and enforcement is stricter than most advertisers plan for, so creative and landing pages both need reviewing before launch. Club acquisition tends to work better as an educational or membership message than as a bottle-and-price ad. As always, licensing and shipping legality stay with your counsel and we build to that ruleset.
By selling the problem and building a list, not by pushing an add-to-cart for something that does not exist. Reservation and waitlist campaigns with a clear ship window, demonstration creative that shows the thing working, and a retargeting sequence that keeps list members warm through the wait tend to outperform a hard pre-order push. Then when stock is real, that warmed list is the cheapest launch audience you will have.
Barely. Broad and Advantage+ beat hand-built interest stacks in almost every account we take over, because the algorithm holds more signal about your buyers than any interest list does. What still matters is exclusions, budget split between prospecting and retargeting, and what the ad actually says.
Enough that a fresh concept enters testing every one to two weeks, which at typical DTC spend means fifteen to thirty assets a month across static, UGC and motion. We can brief and produce it through our creative service or work to your team's calendar, but a Meta account starved of concepts plateaus regardless of who buys the media.
Because it counts every purchase by someone who saw an ad inside the attribution window, whether the ad caused it or not. That is useful for in-platform optimisation and useless as a business number. We optimise inside Meta on Meta's data, then judge the channel on blended MER and holdout results.
Next step
Meta Ads for your San Francisco brand.
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.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.