Stop Wasting Ad Spend on Clicks That Were Never Going to Convert

We build Google Ads accounts that spend on buyers ready to convert, not on guesswork.

Quick answer

Google Ads management is structuring and running Search, Shopping, and Display campaigns around real search intent and conversion data, so budget goes toward keywords and audiences that are actually proven to convert.

What is Google Ads?

Google Ads management is structuring and running Search, Shopping, and Display campaigns around real search intent and conversion data, so budget goes toward keywords and audiences that are actually proven to convert. It works when account structure mirrors how people actually search - problem-aware, comparison, and category terms handled differently - and when automation is introduced only once there's conversion history to train it on.

Skipping the structure work is expensive in a quiet way - broad match turned on too early, Smart Bidding handed control before there's data to learn from, and a Shopping feed dumped into one campaign regardless of margin all leak budget into search terms nobody would approve if they reviewed the list.

It's different from PPC management more broadly, which spans every paid platform under one owner, and from SEO, which earns traffic rather than buying it. Google Ads is the paid-search layer specifically.

Common problems we solve

Broad match turned on too early

Budget spends on unrelated search terms before there is conversion data to guide it.

Smart Bidding with nothing to learn from

Automation is handed control before the account has real conversion history.

Shopping feed treated as one catalogue

Every product gets the same bid strategy regardless of margin or demand.

Search terms never reviewed

Irrelevant traffic gets discovered in the monthly report instead of caught weekly.

Ad and landing page mismatch

A well-targeted click fails to convert because the page breaks the promise the ad made.

Everything covered in this service

Search Campaigns

Problem-aware, comparison, and category keyword structuring with exact and phrase match first.

Google Shopping

Feed structuring by margin and demand tier with product group segmentation.

Display & Remarketing

Warm-audience retargeting with placement exclusions to protect quality.

Bid Strategy

Manual or exact/phrase-match first to build conversion history before Smart Bidding takes over.

Landing Page Alignment

Ad-to-page promise matching, flagging conversion friction outside the media plan.

Our optimization framework

Audit

We review existing structure, or build fresh, mapping keywords to how buyers actually search rather than to a generic list.

Setup

Exact and phrase match go live first, with negative keyword lists built aggressively from the outset.

Structure

Products are grouped by margin and demand tier rather than treated as one undifferentiated catalogue.

Align

Each campaign is checked against the page it sends traffic to, so the click and the page make the same promise.

Build

We hold off on automated bidding until there is enough real conversion data for it to learn from.

Optimise

Search terms, bids, and budget allocation are reviewed weekly, not left to run unattended between reports.

What actually changes

BeforeAfter
One ad group covering unrelated search termsKeywords mapped to specific search intent
Smart Bidding turned on immediately, with nothing to learn fromSmart Bidding turned on after conversion history exists
Irrelevant traffic discovered only in the monthly reportNegative keyword list maintained weekly
Shopping feed treated as one flat catalogueProducts segmented by margin and demand tier

What we report on

Cost per lead trend

Tracked against your baseline from month one, not projected before we start.

Search term relevance

Measured by the share of spend on terms that actually match buyer intent.

Conversion tracking accuracy

Tied back to the GA4 events we set up, not a platform-reported vanity metric.

Budget allocation by product tier

Reported by margin and demand segment, not blended into one Shopping average.

Tools & platforms

🎯Google Ads
📊GA4
⚙️Google Tag Manager
📈Looker Studio

Industries we optimize for

Built for teams like yours

📈Accounts already running but underperforming
🎯Businesses launching their first Google Ads account
🛒E-commerce brands running Shopping campaigns
💼B2B teams with a considered buying cycle

Why choose EASI7

We fix tracking before we touch results

Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.

One accountable team, not siloed vendors

The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.

Built for how AI search actually works

Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.

Reporting tied to your own dashboard

Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.

How to engage us for this

Common questions

There's no fixed timeline - it depends on conversion volume, not calendar time. We wait until the account has enough real conversion data for the algorithm to learn from, which is often longer than platforms recommend by default.

No - CPL depends on your offer, landing page conversion rate, and market competition, not just media management. What we control is account structure, targeting precision, and bid discipline, and we'll tell you honestly when something outside the media plan is setting the ceiling.

Yes - Shopping is structured by margin and demand tier rather than run as an undifferentiated product feed, since treating every SKU the same usually wastes budget on low-margin items.

Campaigns handed to Smart Bidding before there's enough conversion data for it to learn from. We move to manual or exact/phrase-match control first, build a real conversion history, and only then hand over control.

We check alignment between the ad and the page it sends traffic to, and flag it clearly if a mismatch is likely hurting conversion. Building or redesigning the page itself is typically a separate scope.

Weekly, at minimum - search terms, negative keywords, and budget pacing move faster than a monthly cycle can catch, especially in the first few months of a new campaign.

Get in touch

Already running Google Ads but not sure the structure is right?

We'll review your account before recommending a bigger budget - most CPL problems are structural, not a spend problem.

0+ Years in market
0+ Engagements delivered
0× Avg. traffic growth
0% Avg. CPL reduction

Ready to get started?

We usually reply within 24 hours.

Reference

Google Ads, in detail

Scope, area by area

AreaWhat we deliver
SearchKeyword architecture, ad copy, and match-type strategy by intent
ShoppingFeed structure and bid tiers organised by margin and demand
Display & RemarketingRetargeting sequences for warm audiences
ReportingWeekly performance review with search-term and spend breakdown

How this compares

Structured AccountBroad-Match Guesswork
Keywords mapped to specific search intentOne ad group covering unrelated search terms
Smart Bidding turned on after conversion history existsSmart Bidding turned on immediately, with nothing to learn from
Negative keyword list maintained weeklyIrrelevant traffic discovered only in the monthly report

Broad match and Smart Bidding aren't wrong tools - they're just frequently switched on before the account has earned the right to use them.

Page Optimization Data

Primary Topic
Google Ads
Primary Intent
commercial - service research
Suggested URL
/services/search-engine-marketing/google-ads
Breadcrumb
Home / Services / Paid Marketing / Google Ads
Key Entities
Search CampaignsGoogle ShoppingSmart BiddingNegative KeywordsDisplay RemarketingLanding Page Alignment