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Google Ads Management

Google Ads management built around qualified leads and revenue.

Google Ads should be managed as a commercial acquisition system—not a collection of clicks and platform conversions. BAGAI connects campaign structure, search intent, landing pages, tracking, MQL/SQL quality and revenue so optimisation reflects what actually becomes business.

Campaign architecture that reflects search intent.

The account structure should make it possible to control budget, bidding, messaging and measurement at the level where business decisions are made.

01 / SEARCH

Search campaigns by intent, service and geography

  • Brand and non-brand separation where useful
  • High-intent service and problem-led keyword groups
  • Search-term mining and disciplined negative-keyword governance
  • Location, device, schedule and audience observation analysis
02 / AUTOMATION

Performance Max and automated inventory

  • Clear conversion goals and asset-group logic
  • Feed quality and Merchant Center checks for ecommerce
  • Placement and search-term insight reviews where available
  • Incrementality questions rather than assuming every reported conversion is new
03 / DEMAND

Demand Gen and upper-funnel support

  • Creative/message testing tied to landing-page relevance
  • Audience signals used as inputs, not substitutes for measurement
  • Assisted-conversion analysis before scaling spend

Measure lead quality, not just form fills.

For lead-generation businesses, BAGAI maps the stages between an ad click and revenue so campaign optimisation can move closer to commercial value.

FUNNEL

Lead-to-revenue measurement

  • Primary vs secondary conversion actions
  • MQL and SQL definitions agreed with sales
  • Offline conversion imports or CRM stage mapping where practical
  • Cost per SQL, SQL rate, close rate and CAC
ATTRIBUTION

Tracking architecture

  • GA4 and Google Tag Manager event design
  • Enhanced conversion implementation where appropriate
  • Call and form tracking requirements
  • UTM and source/medium governance
LANDING PAGES

Conversion improvement

  • Message match between keyword, ad and page
  • Form friction and qualification fields
  • Mobile speed and conversion path review
  • CRO tests prioritised by likely commercial impact

Deep analysis BAGAI uses to find waste and opportunity.

The objective is to diagnose why performance is changing and what action is most likely to improve commercial outcomes.

SEARCH INTELLIGENCE

Query and demand analysis

  • High-spend low-quality search themes
  • Profitable queries worth expanding in paid search
  • Search terms that can inform SEO and content
  • Brand leakage and irrelevant demand patterns
ECONOMICS

Budget and efficiency

  • Marginal cost as budget increases
  • Campaign-level cost per SQL and CAC
  • Revenue/ROAS where transaction data is trustworthy
  • Budget reallocation based on downstream quality
EXPERIMENTATION

Controlled improvement

  • Ad copy and asset testing
  • Landing-page variants
  • Broad-match/bidding tests with guardrails
  • New campaign tests separated from core performance

Questions businesses ask before starting

Do you optimise Google Ads to CPL or to sales quality?

CPL remains useful, but where lead-stage data exists BAGAI also tracks MQL rate, SQL rate, cost per SQL, close rate, CAC and revenue. That prevents cheap but low-quality leads from looking artificially strong.

Can BAGAI work with an existing Google Ads account?

Yes. An engagement can begin with an account, tracking and funnel audit before any structural change is made.

Do you manage ecommerce Google Ads?

Yes. Ecommerce work can include Shopping, Performance Max, feed quality, Merchant Center, conversion value, margin-aware analysis and landing/product-page performance.

Can Google Ads data help SEO?

Paid advertising does not directly improve organic rankings. However, search-term, conversion and landing-page data can reveal useful demand and commercial-intent signals for SEO decisions.

Turn channel activity into measurable business growth.

Start with the highest-impact problem, then connect acquisition, tracking, reporting and automation where it adds value.

Start with BAGAI ↗