Skip to main content

Case study / Google Ads

Case Study: 66.7% Lift on $1.5K for Abu Dhabi Dental

A dental clinic in Abu Dhabi used tighter query control, clearer landing-page paths, and budget discipline to lift conversions 66.7%, cut CPC 25%, and lower CPA 25% on a $1.5k budget.

Conversions+66.7%Conversion lift from the homepage proof summary.
Conversions+66.7%

Conversion lift from the homepage proof summary.

01

Problem

The local clinic needed more conversions without increasing a small budget.

The local clinic needed more conversions without increasing a small budget.
02

Action

Tightened query control, clarified landing-page paths, and protected budget discipline.

Tightened query control, clarified landing-page paths, and protected budget discipline.
03

Result

Conversions rose 66.7% while CPC and CPA both fell 25%.

Conversions rose 66.7% while CPC and CPA both fell 25%.

A dental clinic in Abu Dhabi used tighter query control, clearer landing-page paths, and budget discipline to lift conversions 66.7%, cut CPC 25%, and lower CPA 25% on a $1.5k budget.

Problem

The local clinic needed more conversions without increasing a small budget.

Action

Tightened query control, clarified landing-page paths, and protected budget discipline.

Result

Conversions rose 66.7% while CPC and CPA both fell 25%.

The Decision-to-Outcome System

The result belongs to a decision loop, not an isolated tactic.

This google ads case is presented through the same five stages: diagnose the constraint, validate the evidence, decide the move, execute it, and prove the change.

  1. 01

    Diagnose

    Find the commercial constraint before choosing a channel task.

    Input: Website, account, tracking, feed, margins, demand, or buyer prompts.
  2. 02

    Validate

    Check the data, economics, demand, and implementation reality behind it.

    Output: Trusted baseline, attribution, margins, lead quality, stock, and access limits.
  3. 03

    Decide

    Choose the highest-leverage move and make the trade-offs explicit.

    Output: One priority, target metric, assumptions, exclusions, and decision date.
  4. 04

    Execute

    Ship the smallest coherent intervention that can change the outcome.

    Output: Owner, sequence, dependencies, approvals, and validation method.
  5. 05

    Prove

    Read the result against revenue, margin, pipeline, or qualified demand.

    Output: Metric movement, confidence, exclusions, unintended effects, and next decision.

Repeat: evidence from Prove becomes the next Diagnose input.

Verified worked example

What the loop looked like in one PMax relaunch.

  1. What the dashboard appeared to showROAS was 3.06 while PMax needed to scale.
  2. What the diagnosis foundBrand demand could hide acquisition efficiency; the conversion signal and segmentation needed cleaning.
  3. What decision was madeRelaunch PMax around cleaner signal, clearer segments, and brand-bleed control.
  4. What was implementedRebuilt the campaign structure and increased spend with discipline.
  5. What changedROAS reached 5.90 and revenue almost tripled on 37% more spend.
Read the verified case