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.
Austin, TX
Meta Ads Management in Austin, TX
Nobody wakes up searching for a drink they have never tasted. Meta is where an Austin brand manufactures that reason — and creative volume, not targeting, is the media plan.
Delivered remotely for brands across Austin and Texas.
Grow · Austin
Why Austin brands come to us for this
- Geo holdouts run against your natural-grocery distribution footprint, so retail sell-through stops being an argument and becomes evidence.
- A creative cadence built to outrun fatigue, briefed from your own reviews and support inbox rather than from a competitor's ad library.
- Creator sourcing from Austin's running, fitness and outdoor pool, whose audiences are already your category's audience.
- Catalogue and Advantage+ product sets segmented by margin and stock cover, so limited flavour drops are handled deliberately rather than scaled into an empty shelf.
- Conversions API rebuilt with real match quality and clean deduplication, because since iOS 14 signal quality is a bidding lever rather than a plumbing detail.
Meta has to supply a reason the buyer did not arrive with. For an Austin functional-beverage or supplement brand that reason is almost never a discount — it is a ritual, a dose, a taste reaction, or an objection answered out loud by someone who looks like the buyer. Which makes the account a creative-throughput problem wearing a media-buying costume. Targeting stopped being the lever the moment Advantage+ absorbed it.
Throughput is exactly where brands in this metro stall. There is no standing commercial-production bench here the way there is on the coasts, so a lean Austin team ships a handful of assets a quarter and then wonders why CPMs climb every week against competitors feeding the auction weekly. What this city gives back is that the settings cost nothing: a greenbelt trail, a Town Lake morning, a Hill Country road, a South Congress patio, plus a deep bench of running, fitness and outdoor creators whose followings overlap your category almost exactly.
Underneath the creative sits signal. Catalogue connected through the Shopify channel with product sets segmented by margin and stock cover, Conversions API rebuilt with real match quality instead of whatever an app switched on two years ago, and prospecting kept out of retargeting's way so they stop bidding against each other. Then we check the whole claim with a geo holdout — because for a brand that also sits on a shelf, Meta's dashboard is blind to one demand pool and generous about the other.
Local context
Two demand pools, one ads manager
An Austin brand selling direct and through natural grocery generates sell-through that never lands in any ad account. Awareness spend moves units in markets where you have distribution, Meta gets no credit for it, and the channel therefore reads weaker than it is and gets cut in exactly the wrong quarter. The mirror-image mistake costs just as much: crediting every regional bump to advertising when it was really a new placement or an end-cap. Geo holdouts against your actual distribution footprint settle that with evidence rather than attribution philosophy. The calendar matters as well. March and October drop a large cohort of first-touch, out-of-town visitors into your pixel at once — people who tasted the product at an activation and behave nothing like your normal prospecting audience — and letting the algorithm learn on that cohort unsegmented distorts the following six weeks. Then from May through September the outdoor half of your creative library gets genuinely hard to shoot while the shipping cost sitting behind every conversion goes up, so production and acquisition targets both have to be planned around the heat rather than surprised by it.
Scope
What Meta Ads includes
The same standard of work we run for every client — applied to a Austin 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 Austin store
We do not work off a rate card. Every Austin 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 Austin — your questions
Not before you know the payback period. A consumable is usually bought at or near break-even on order one and earns the business on order three, so judging prospecting on the day it ran kills the acquisition that was working and protects the discount that was not. We model payback against your own reorder and subscription curve rather than a category average — and if payback genuinely never arrives, we will say so plainly.
Only with a test behind it. Turn spend down across a matched set of markets, hold it in comparable ones, and compare direct revenue alongside whatever depletion or scan data your broker can pull. It is the only method that separates advertising lift from a new placement or an end-cap, and the first time an Austin brand runs it, it usually changes at least one budget decision materially.
It fits, provided the catalogue is telling the truth. Product sets segmented by stock cover stop the algorithm scaling into a flavour with three days of inventory left, and a drop gets its own creative and a hard end date instead of being folded into evergreen prospecting. The expensive failure here is a beautifully optimised ad still serving for a SKU that sold out on Tuesday.
Both, in that order. In-context footage from around town reads as authentic in a category where over-polish measurably hurts, and it costs a fraction of a coastal production — which is what lets you put enough genuinely different concepts into the auction to keep CPMs from drifting upward. The constraint is scheduling: outdoor batches belong in spring and autumn, because nobody looks comfortable outside here at two in the afternoon in July.
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 Austin 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.