01
CRM integration and offline conversion imports
We build the offline conversion import pipeline between Google Ads and your CRM — Salesforce, HubSpot, Pipedrive, or equivalent. We define which CRM stages map to which conversion events in Google: MQL, SQL, opportunity created, closed-won. Google receives the signals that reflect real revenue, not just top-of-funnel activity. This is the foundation every other optimisation decision rests on.
02
ICP audience architecture
We build Customer Match lists from your existing CRM data, configure in-market and intent-based audience layers, and apply company-size, industry, and job-function modifiers using available audience data. For SaaS, we set up audience exclusions for competitor employees, students, and non-ICP company categories. The goal is to have the algorithm competing for the right searches from the right people.
03
Account architecture — Search, Shopping, and PMax segmentation
Search campaigns are segmented by funnel stage, product line, and match type. Shopping campaigns are structured by product margin tier and inventory priority. Performance Max is introduced only when Search campaigns have proven conversion patterns and sufficient conversion volume — and it is launched with full brand exclusions and proper asset group structure.
04
Keyword strategy with competitive and ICP-qualified intent filtering
Keyword selection in competitive US markets requires filtering out research-intent, competitor-research, and student-intent queries from the outset. We build negative keyword lists that disqualify non-ICP traffic at launch — 300+ negatives minimum — and add to them weekly from search term reports. Exact match protects high-intent budget. Phrase match is monitored closely for query drift.
05
Weekly optimisation and monthly pipeline reporting
Weekly: search term analysis, ad copy performance review, bid strategy health checks, audience performance. Monthly: spend, conversions by CRM stage, cost per MQL, cost per SQL, cost per opportunity, and pipeline attributed. For e-commerce: ROAS by product category, new vs. returning customer acquisition cost, and Shopping vs. Search contribution.