ConversionEX
Services
WorkReviewsAboutContact
Austin, TX

Google Ads Management in Austin, TX

Google catches Austin demand that was created somewhere else — a can tasted at a run club, a name read off a shelf. Our job is to be the cleanest listing in that moment.

Delivered remotely for brands across Austin and Texas.

Grow · Austin

Why Austin brands come to us for this

  • Merchant Center rebuilt for co-packed catalogues: GTIN and MPN gaps closed, ingredient and dose written into the titles buyers actually type.
  • Flavour, size and multi-pack variants organised with product types and custom labels so eighteen near-identical items stop bidding against each other.
  • Branded search isolated from non-brand, because Austin shelf distribution inflates brand terms and flatters the whole account.
  • Return targets re-derived for the May-to-September window, when cold-pack and expedited freight take a bite out of contribution margin.
  • Weekly query mining across dose, ingredient and comparison phrasing, with a maintained negative library for recipe, research and DIY traffic.

Google does not create the Austin functional-beverage customer. It intercepts one who was created somewhere else: a sample handed out at a Zilker run club, a can spotted in a Central Market cold case, a formulator's name repeated on a podcast. The decision happens off-platform and arrives in the search box afterwards, which makes the account a distribution job rather than a persuasion job — and on Shopify the distribution runs through Merchant Center long before it runs through the campaign builder.

Feeds in this category break in ways a generic account never sees. Co-packed private-label SKUs arrive with no GTIN because nobody assigned one. A single product exists as six flavours, three sizes and two multi-packs, which becomes eighteen near-identical items bidding on the same query unless product types and custom labels are built deliberately. And supplement and functional-food listings quietly accumulate policy flags on ingredient and claim language that sit unread in the diagnostics tab for months while the brand blames its bidding strategy.

Then structure. Branded search for an Austin brand on shelf is inflated by distribution — people who already bought you at a natural grocery are typing the name to reorder — so leaving brand inside a shared campaign produces a return figure that measures your retail footprint rather than your advertising. We isolate it, judge non-brand on its own line, and mine the query set every week for the dose, ingredient and comparison phrasing that actually ends in a purchase.

WeeklyMerchant Center diagnostics reviewed on a schedule, not when revenue drops
Two seasonsseparate target bands for the Texas summer freight window and the rest of the year
Brand split outnon-brand reported on its own line in every readout
Local context

Capturing demand that Austin's supply chain handed to everybody

The co-packers, formulators and brokers clustered around this metro made it cheap for you to launch — and just as cheap for the four brands bidding against you on the same non-brand terms with a near-identical formula. Nobody wins that auction on bid strategy. It gets won on feed depth: ingredient and dose written into the title where a buyer types them, format and dietary attributes populated so you are eligible for the narrow queries at all, and stock cover carried in a custom label so budget stops accelerating into a flavour your co-packer will not run again this quarter. The cost side has a local wrinkle too. From roughly May through September, cold packs, insulated liners and shortened transit come out of the same contribution margin your return target was derived from, so a target set in February is quietly unprofitable in July at identical revenue. And the March and October event weeks send branded volume sharply up without moving non-brand demand at all, which is how an averaged quarterly readout convinces a founder the account improved when really the calendar did.

Scope

What Google Ads includes

The same standard of work we run for every client — applied to a Austin brand’s realities.

Full service detail
01

Merchant Center & Feed Rebuild

Disapprovals cleared at source, GTIN, MPN and attribute gaps closed, and titles rewritten to lead with searched terms. Custom labels for margin, stock cover and seasonality.

02

Brand, Non-Brand & Conquesting

Branded demand isolated into its own campaign, budget and target so non-brand performance becomes visible. Competitor conquesting runs as a separate line, judged separately.

03

Shopping & Performance Max Structure

Asset groups split by margin band and product type instead of one catch-all, with listing-group bids, product exclusions and brand-term controls applied wherever PMax still allows them.

04

Query Mining & Negative Hygiene

A weekly pass over search terms and PMax category reports, with a maintained shared negative library so budget stops leaking into research, DIY and job-seeker queries.

05

Promotions & Merchant Programs

Merchant promotions, sale price annotations, shipping and returns policy setup, product ratings, and local inventory ads where you have stores worth feeding.

06

tROAS Bidding to Contribution Margin

Targets set from margin per product group rather than a platform default, moved in controlled increments, with a written reason attached to every bid and budget change.

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 scoped
How it runs

From kickoff to results

01

Feed & Account Audit

Merchant Center diagnostics, attribute coverage, campaign overlap and wasted spend scored against ninety days of search terms. You get the findings whether you hire us or not.

02

Fix the Feed

Titles, attributes, product types and custom labels rebuilt before any campaign work. A perfectly structured account on a bad feed still shows the wrong products to the wrong queries.

03

Restructure

Brand, non-brand, Shopping, PMax and Search rebuilt with hard budget boundaries and a shared negative library, so each line answers a different commercial question.

04

Bid to Margin

tROAS targets derived from contribution margin by product group and applied gradually, so the account keeps its learning instead of resetting it every Monday.

05

Mine & Expand

Weekly query mining, monthly feed reviews, then expansion into the categories the search data says you can profitably win. Nothing scales before the query set is clean.

Proof

Google 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
Engagement Conversion-led rebuild + paid mediaTimeframe 5 months

Consumer Electronics & Accessories

~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)

Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.

1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
Engagement Paid growth audit → migration → paid media retainerTimeframe 6 months
In their words

Clients on this work

Non-brand search revenue ~2x at flat spend

“Six thousand products and a Shopping feed nobody had touched since it was first generated — a third of it was disapproved and we had no idea. They rebuilt the feed off our real product data, fixed the GTIN and size attributes, and split brand off from non-brand so I could finally see what we were actually paying to acquire. They also cut the broad 'baby clothes' terms that were eating a quarter of the budget on people who were nowhere near buying. Spend is roughly flat and non-brand search revenue has close to doubled.”

Director of OperationsKids & baby brand, ~$5M/yr · Atlanta, GA
Verified via Shopify Partner referral
FAQ

Google Ads in Austin — your questions

Badly, if brand and non-brand share a campaign. Someone who found you in a natural grocery cold case and typed your name to reorder is cheap to convert and would largely have converted anyway, so blending them lifts the account average while the acquisition half quietly stalls. We split them, report non-brand separately, and where branded spend is material we run a holdout to see how much of it is genuinely incremental.

For anything meltable shipping out of Texas, yes. Cold packs, insulated liners and shortened transit are a real cost of goods from roughly May through September, and the margin they consume is the margin your target was set from. We hold separate summer and shoulder-season targets by product group rather than defending one annual number that is wrong for a third of the year.

Not as eighteen equal items. Samplers and multi-packs are usually the SKUs worth winning because they carry higher units per order, so they get their own product types and labels while slow single flavours are demoted or excluded outright. Stock cover goes into a label as well, so spend stops chasing a flavour that will be gone before the next co-packing run.

They change branded volume, not non-brand demand. A March activation or an October weekend pushes a wave of people who just tasted the product into the search box, so it is worth confirming brand budget is uncapped and that shipping and returns annotations are correct going in — then reading those weeks as their own segment afterwards. Averaged into a quarter, an event looks exactly like account improvement.

Yes, once the feed and the exclusions are right. PMax on a clean feed with margin-segmented asset groups and brand controls is the strongest Shopping vehicle Google has shipped. PMax on a neglected feed is an expensive way to sell bestsellers to people who were buying anyway.

Because Shopping never sees your keywords, only your feed. Title, product type, GTIN and attributes decide which queries you are even eligible for. We routinely find a quarter of a catalogue disapproved or serving on the wrong terms, and fixing that moves revenue before a single bid changes.

Usually yes, but as a separate campaign with its own target and its own conversation. Branded clicks are cheap and convert well, which is exactly why blending them into non-brand hides whether the rest of the account works. Where the spend is material we run a holdout to see what is genuinely incremental.
Next step

Google 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.