Google Ads · Case Study
The Problem
Inglewood Farms had been running Google Ads for over a year. The account reported strong conversion numbers each month — but management couldn't connect those numbers to actual enquiries or stockist leads. Something wasn't adding up.
A full audit uncovered the root cause immediately: conversion tracking was set to fire on page views. Every single website visitor was being recorded as a conversion. The campaigns looked like they were working because every click technically "converted" — but the data was completely meaningless.
Before & After
The account's conversion actions told the whole story at a glance. Page views counted as primary conversions meant Smart Bidding had no chance of finding real leads.
| Conversion action | Category | Conv. (30d) | Value |
|---|---|---|---|
| All website sessions Primary | Page view | 1,248 | — |
| Conversion action | Category | Conv. (30d) | Value |
|---|---|---|---|
| Phone call (website) Primary | Phone call | 47 | — |
| Contact form submission Primary | Submit lead form | 22 | — |
| Stockist enquiry Primary | Submit lead form | 19 | — |
| All website sessions Secondary | Page view | — | — |
Before & After
A single catch-all campaign was mixing brand terms with generic searches, sharing one budget and bidding strategy. The restructure separated intent layers so budget could flow where it mattered.
| Campaign | Status | Budget/day | Impressions | Clicks | Conv. |
|---|---|---|---|---|---|
| Search — All Terms | Active | $35.00 | 18,402 | 612 | 1,248 ⚠ |
| Campaign | Status | Budget/day | Conv. | CPA |
|---|---|---|---|---|
| Brand — Inglewood Farms | Active | $8.00 | 28 | $4.20 |
| Search — Organic Chicken | Active | $15.00 | 24 | $18.60 |
| Search — Stockist Enquiry | Active | $8.00 | 22 | $12.40 |
| Competitor — Conquest | Active | $4.00 | 14 | $26.10 |
The Fix
Before & After
Comparing the 30-day window before the restructure against 30 days post-launch (after the Smart Bidding learning phase stabilised).
Outcome
The account didn't just get cleaner data — the business finally had the foundation to make confident budget decisions and scale what was actually working.