The platform

Campaigns and catalogue, judged as one system.

Replace the campaign checker and feed tool with one commercial decision layer built for agency-scale Google Ads.

AdKing / Performance overview

Last 30 days

Performance overview

Spend

£48,210

+4.1%

Revenue

£184,320

+18.4%

Cost / conv.

£37.55

−8.2%

Feed health

84 / 100

+11 pts

Revenue and spend

Daily performance · 30 days

ROAS 3.82x

Decision queue

14 ready
Campaign

Block wasted search terms

£412 / mo

Feed

Repair 46 disapprovals

£2,180 / mo

Budget

Increase top campaign

+£6,420 / mo

Google Ads intelligence

Find account changes worth making—not just anomalies.

Nineteen checks inspect spend, efficiency, concentration, overlap and delivery. Each opportunity is ranked by expected commercial value, evidence quality and account fit.

  • Search, Shopping and Performance Max coverage
  • Revenue and savings estimates on every finding
  • Account-specific evidence thresholds
Highest-impact opportunitiesRanked now
01
Campaign92% confidence

Remove 18 zero-value search terms

£1,204 saved / mo

Apply
02
Shopping feed88% confidence

Add brand + size to 3,120 titles

£14,800 revenue / mo

Apply
03
Campaign84% confidence

Rebalance budget to top performer

£6,420 revenue / mo

Apply

Shopping feed intelligence

Treat product data as a performance input.

AdKing identifies the catalogue defects suppressing demand, then turns approved fixes into persistent, inspectable rules for every future export.

  • Titles, taxonomy, attributes and custom labels
  • Disapprovals, broken prices and zero-value products
  • Supplemental feeds ready for Merchant Center
Main UK catalogue84 / 100 health

Products

48,210

Approved

97.4%

Revenue at stake

£18,640

ProductFindingImpact
Organic cotton overshirtMissing brand£3,420
Trail runner GTX blueTitle too short£2,180
Everyday trainer whiteZero clicks£1,760

3,120 title fixes ready

Previewed before the next Merchant Center fetch

Review rules

Measured optimisation

Learn from outcomes, not platform folklore.

Applied changes run against untouched comparison groups and are reread at 7, 14 and 28 days. Recommendations become more selective as evidence accumulates.

  • Difference-in-differences measurement
  • Confidence adapts to your own results
  • Weak checks lose priority automatically
Learning engine Measuring

Measured confidence

Wasted search spend92%
Feed title enrichment88%
Budget reallocation74%
PMax overlap61%

Latest outcome

+18.4%

Conversion value vs. control

Day 7+9.2%

Day 14+14.7%

Day 28+18.4%

GA4 revenue and Search Console query data included in scoring

Controlled changes

Budget and bid movements stay inside policy limits.

Human approval

Automatic application is off. Your team decides what moves.

Complete record

Every accepted, dismissed and failed action stays accountable.

A clearer way to run paid media.

See how AdKing moves from connected data to a measured outcome.

See the operating model