How much is your service?

Our pricing model is based on the performance we achieve, ensuring our goals align with yours. We do not charge retainers.

What level of communication and reporting can I expect?

Weekly Loom walkthroughs with a written summary, plus a dedicated Slack channel with the team available seven days a week. No portal you have to log into to find your numbers.

How do you stay updated on industry trends and best practices?

Through our close relations with Google, we receive ongoing training from high-level representatives on new features often before public release. Our scale across high-spending accounts gives us real-time data on what's actually working.

What sets your agency apart from the competition?

Our specialists are among the top professionals globally. At Ad-Lab we enforce stringent conditions to ensure each team member handles a minimal number of accounts, allowing unparalleled focus on each client.

Do you offer free account audits?

Yes. We conduct in-depth audits and provide strategic recommendations. We identify areas where your previous or current agency is missing optimization opportunities.

How long are your contracts?

Month-to-month. We are confident that within the first month we can demonstrate the Ad-Lab difference, eliminating any need for long-term commitment.

How does the pricing work?

Performance-priced. Month-to-month. No retainer, no annual lock-in, no exit fee.

What's a typical Ad-Lab client size?

$30,000+ in monthly Google + YouTube ad spend, or $100,000+ in monthly revenue. Most are doing both. Below that range the audit doesn't surface enough leverage to justify our model. Above $1M/month is where the system around the ad starts compounding hardest. If you're not sure where you fit, apply for the free audit anyway and we'll tell you straight.

Why aren't you on Meta or TikTok?

Because the work that compounds Google + YouTube spend at scale (landing pages, creative, feed engineering, tracking, AI ops, weekly audits) is full-time work. Spreading thin across Meta and TikTok would mean less depth in the channels where we already have $150M+ of pattern recognition. We partner with Meta and TikTok specialists for clients who need both, but we won't pretend to be the best at every channel ourselves. That said, the Google + YouTube work we ship affects your Meta and TikTok performance every week (branded search volume, AOV across the shop, blended CPA), and we report that cross-channel context as part of the standard cadence.

All case studies

EcommerceIllustrative example6 weeks

Shopping revenue +41% from feed engineering, with bids untouched

We won auctions we were invisible in by fixing the feed, not the budget

Shopping revenue

+41%

Absolute top impression share

38% → 61%

Clicks

+33%

Ad spend

Flat

Chapter 01

Shopping is a feed channel, not a bidding channel

Here's what most people get backwards about Shopping. Google decides which queries your products are eligible for based on the feed. Bids only decide how hard you compete in the auctions you're already in. So if your titles are weak and your attributes are missing, you're not in the auction at any bid. You can raise CPCs all day and nothing moves, because the problem was never the bid.

This account had a healthy budget and an absolute top impression share of 38%. It was invisible on roughly half the catalogue. Not because it was outbid, because Google didn't have enough information to show those products against the right searches.

The state of the feed

An invisible catalogue

Titles written for the website, not for search
Missing GTINs, colors, sizes, and product types
Absolute top impression share stuck at 38%
Bids raised again and again with no movement

Engineered to win auctions

Titles leading with brand, type, and the attribute buyers search
Every required and recommended attribute filled
Absolute top impression share at 61%
A priority funnel routing every query to the right bid

Chapter 02

The feed rebuild and the priority funnel

Two moves: make every product eligible, then control which query hits which bid.

How we rebuilt eligibility

1
Rewrote titles on a formula
Brand, then product type, then the key attribute, then the variant. Most important words first because titles get truncated and the front carries the most weight. Written the way a buyer searches, not the way a catalogue is named.
2
Filled every attribute
GTIN, brand, color, size, material, product_type, and google_product_category on every SKU. Missing attributes are missing auctions. This alone pulled a chunk of the dark catalogue into the light.
3
Fixed availability, price, and shipping accuracy
Mismatches between the feed and the site suppress products and erode trust. We aligned them so Google stopped throttling the disagreeing SKUs.
4
Built a supplemental feed
Rewrote titles and added custom labels without touching the source export. The safest way to engineer a feed, because you never risk breaking the primary.

The title formula in practice

Weak title	Engineered title
Aurora Throw	Nordica Aurora Wool Throw Blanket — Charcoal, 130x170cm
Pro Series Bottle	HydraPro Insulated Steel Water Bottle — 1L, Matte Black

Same product, completely different eligibility. The right side matches dozens of searches the left side never could.

The three-tier priority funnel

Priority tier	Bid	Negatives	Catches
Low priority	Highest bid	Brand + generic negatives	Specific, high-intent queries
Medium priority	Mid bid	Generic negatives	Mid-specificity queries
High priority	Lowest bid	None	Broad, cheap, generic queries

Priority is inverted on purpose. Google checks high-priority first, so the cheapest bid catches the broad generic searches, and the specific high-intent searches fall through to your aggressive low-priority bid.

Chapter 03

Six-week results

Before and after

Metric	Before	After (week 6)
Shopping revenue	Baseline	+41%
Absolute top impression share	38%	61%
Clicks	Baseline	+33%
Ad spend	$40K / month	$40K / month

Same bids, same budget, same competitors. We just stopped being invisible.

We kept raising bids and nothing moved. The problem was never the bid. Half our products didn't have the attributes Google needed to even show them.

Ecommerce lead

Questions we get asked about this

Do bids or the feed matter more in Shopping?

The feed, by a wide margin, until it's clean. Google decides which queries your products are eligible for based on the feed, then bids decide how hard you compete in the auctions you're already in. If your titles and attributes are weak, you're not in the auction at any bid. Fix eligibility first, then bid.

What goes in a Shopping title?

Lead with what people search: brand, product type, then the attributes that matter for that category (size, color, material, model). Put the most important words first because they carry the most weight and titles get truncated. Don't stuff keywords, write the title a buyer would recognise.

What's a supplemental feed for?

Overriding or adding fields without changing your source feed. It's how you rewrite titles, add custom labels for margin tiers, or patch missing attributes when you can't easily edit the store export. It's the safest way to engineer a feed because you never risk breaking the primary.

Does the three-tier priority trick still work alongside Performance Max?

Yes, for the catalogue you keep in standard Shopping. Run feed-engineered standard Shopping with the priority funnel for the products and queries you want tight control over, and let PMax cover the rest. The priority structure routes generic queries to cheap broad coverage and specific queries to your aggressive bids.

Frameworks behind this case study

Track: GMC, feed, Shopping moat

Glossary: feed columns

About these numbers

Illustrative example. The feed work and campaign structure shown are the exact build we deploy. The figures are representative of what it produces for accounts in this spend band over a six-week window, not an export from one client's account.

More breakdowns on the daily newsletter

Mar 18, 2026

Want this run on your account?

Free 15-minute audit. No deck. No pitch. We screenshare your account, run the same audit playbook these case studies came out of, and walk away leaving you the doc.

Book the call