AI for Marketing · Solutions

Better ad decisions, with people approving them.

AI AdTech reads your ad account data and CRM, flags the placements, search terms and audiences that cost clicks without leads, and suggests budget and bid changes for review. It helps marketing teams decide better. Every change inside the ad platform is made by a person, and software-made changes are possible only where a supported connection exists and you have given written authorisation for them.

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What it is

Ad accounts collect clutter. A search term nobody meant to buy, an app placement sending clicks but no enquiries, a city outside your area and one ad seen nine times. Each leak looks small.

This reads the account exports and your CRM together, so a click can be followed to a qualified lead or to nothing, and puts doubtful lines in one list. A person decides each line. By default it only reads data and never edits the ad account, and an editing connection is added only where the platform supports it and you authorise it.

Where it goes wrong today

The problems this is meant to ease.

Waste hidden in the total

Small leaks add up. A search term nobody meant to buy, an app placement and a distant city each cost a little, and the monthly total hides all three.

Clicks counted, leads ignored

The dashboard shows the wrong win. Dashboards celebrate cheap clicks while the sales team knows many of the calls were wrong numbers, and nobody joins the two sets of records.

Budget decided by habit

Last month’s split repeats. Spend stays where it was set a year ago, a campaign with a rising cost per lead keeps its share, and the stronger one is starved of budget.

Creative tested without discipline

Ads change, lessons do not stick. Three headlines go live together, one wins, and nobody can say whether the headline, the image or the audience made the difference.

Frequency wears buyers out

Repetition tires buyers out. A small audience sees one ad nine times in a week, clicks fall, and the account manager sees only that the cost per click has risen.

Platform rules found too late

Platform rules arrive too late. Some categories such as housing or credit carry targeting limits, and an ad is refused or restricted after the creative is made, because nobody checked the rules first.

Inside the module

What AI AdTech does.

Account connections and permissions

You choose the access level. Each ad account is connected with the access level you choose, usually read-only, and a permission list shows who connected what and when, so access can be withdrawn.

Audience and performance monitoring

One weekly view of results. Spend, clicks and qualified leads are read together by campaign and audience from your ad accounts and CRM, and audiences are ranked by how your past customers behaved.

Budget and bid suggestions

Suggestions come with evidence. For each campaign the software proposes where budget could move and where a bid looks too high or low with the figures behind each line.

Creative variations and tests

Test one change at a time. Ad copy, image and offer variants are logged with their audience and dates, and a test is marked ready only when enough people have seen each version.

Placement, frequency and conversion analysis

Find where the leaks are. Display and app placements are ranked by qualified leads per click, repeat views per person are counted, and the conversion path is traced from click to enquiry.

Search terms worth blocking

A weekly review of terms. The search terms report is read against your leads, and terms that cost clicks but never gave an enquiry are listed as candidates for blocking.

Platform restrictions

Platforms set their own limits. Each platform limits what an ad may say and whom it may reach in some categories, and a checklist beside each campaign records the limits your team has confirmed.

Approval workflow and change log

Every change has an owner. A suggested change goes to a named approver, the person who makes it inside the platform records the date and reason, and later results are read against it.

Where it gets used

What this looks like in a working week.

A real estate agency

Cut clicks that never ring. Search terms for rentals bring clicks but no enquiries, so the marketer reviews the list of candidate blocks and the sales manager confirms which enquiries were genuine.

A solar installer

Spend should follow the service area. Spend is shown by postal area and leads from areas the crew cannot reach are flagged, so the owner narrows geography inside the ad platform.

A travel agency

Test one headline at a time. Two package ads run with the same image and different headlines, the results are logged, and the next test starts only after the first is read.

A coaching centre

Watch the admissions season. Budget pacing alerts show a campaign running out of money before enrolment closes, and the head decides whether to move budget from a weaker campaign.

A dental clinic

Count booked visits, not clicks. Ad clicks are matched to appointments in the booking system and the practice manager sees which treatments the ads actually fill, then adjusts budgets by hand.

Who touches it

The people who open this every day.

Ad account manager

Owns the weekly list. Opens the flagged terms, placements and audiences, decides what to pause and records the reason for each decision in the change log, because the platform is theirs alone.

Sales manager

Gives the honest feedback. Marks which enquiries were real and which were wasted calls, which is the feedback the ranking depends on and the part most teams skip.

Business owner

Reads one page a month. Spend sits beside qualified enquiries for each campaign on one page, and the owner asks the account manager about the weakest lines, so questions replace guesswork.

Agency lead

Shows clients the full log. A client sees what was flagged, what was kept and the reason for each decision, from a log that belongs to the client, so trust comes from records.

How it is set up

From first conversation to daily use.

Discovery
Map accounts and owners first. We sit with the account manager and the owner and list your ad accounts, who holds admin access, how leads are marked and where conversions are tracked.
Data readiness
Fix tracking before analysis. Read-only access is granted for each ad account, conversion tracking is checked, and the CRM gets a field where sales marks each lead as qualified or rejected.
Dry run on exported data
Start with exported reports. Last quarter’s exports for one account are loaded and the flags are listed without any change to the live account, so the team can check them against memory.
Review by the account team
Staff judge the flags. The account manager and the sales manager go through each flagged term, placement and audience, mark the flags that were wrong, and those marks become exclusions.
Going live
The weekly review begins. The flagged list goes to a named approver, and any connection that edits the account is added only where the platform supports it and you authorise it.
Reviewing afterwards
Read the log back. After a cycle the team compares the suggestions with what happened, checks the change log for decisions that were reversed, and reads each measure against its baseline.

Measuring it

How you would know it is working.

Record where you stand before it goes live, so the change is measured against your own figures.

Return on ad spend sets revenue from ad-driven orders against the spend behind them, and you start from that ratio as your ad accounts recorded it ahead of launch.
Cost per acquisition is ad spend divided by the customers or qualified leads won, set against the figure those same campaigns recorded in the final full quarter prior to launch.
Advertising efficiency is measured as qualified leads per unit of spend on each campaign, and the baseline is the ratio in your records before go-live.
Wasted spend on flagged lines is the cost of clicks on terms and placements without leads, and the baseline is that cost in the last export before review.
Lead quality is the share of ad enquiries the sales team marks as qualified, and the baseline is the marking recorded in your CRM before go-live.

Used responsibly

Where a person stays in charge.

Changes stay with people

It supports a decision, never makes one. An approver makes each change inside the ad platform after reading the evidence, since a flag built on past data can be wrong about a campaign that changed recently.

No direct control without authorisation

Editing is never assumed. By default it reads data only, and a connection that can edit bids or budgets exists only where the platform supports it and you have authorised it.

Feedback keeps the ranking honest

Weak feedback gives weak lists. Audience ranking depends on the sales team marking each lead as qualified or rejected, and without that step it sees only clicks and gives weaker lists.

Targeting limits and platform rules

Platforms and countries restrict targeting. Categories such as housing, credit or employment limit who an ad may reach, so check each audience with your own lawyer before you use it. Rankings describe history, not targets. It gives no legal or financial advice.

Suggestions are estimates

Suggestions are only estimates. Bid and budget suggestions come from past results and can miss a market that changed, so treat each as a prompt for the account manager.

How it fits

It is one part of a system, not an island.

A module earns its place by what it passes to the next one. These are the connections we set up most often.

Your own search, social and display ad accounts
CRM and lead records
Web analytics and call tracking
Spreadsheet exports where an API is not offered
Reporting dashboards

Already built in

Products that include it.

Digital Marketing Agency Management Software

Built for you

How we would put it in.

Common questions

Questions owners ask about AI AdTech.

Does this place or change ads?

No, not by default. It works on exported or read-only data and every change is made by a person inside the platform, unless you authorise a supported connection that can edit.

Can it adjust bids automatically?

Only where a connection exists. Some platforms allow it through their interfaces and some do not, so we check what yours offers, and a person still approves the rules before anything is applied.

What does it depend on?

It needs three things. Your own ad accounts, working conversion tracking and a CRM where someone marks leads as qualified or not, because without that step it only sees clicks.

Is audience ranking a targeting recommendation?

No, it describes your history. It ranks audiences by how past customers behaved, and platforms and countries restrict targeting in some categories, so check those rules with your lawyer before choosing audiences.

How small can an ad budget be?

Small budgets teach little. When only a handful of leads arrive each month, a person reading the account will find the same leaks, so start by fixing the tracking.

Who reviews what it flags?

A marketer reviews every flag. The software ranks and flags on past data and can be wrong about a campaign that changed recently, so a person owns each decision. It gives no financial advice.

Which ad platforms can it work with?

Any platform that lets you export. Search, social and display platforms usually allow reports or read-only access, and the exact list depends on each platform’s current terms, so we confirm yours before work starts.

What effort does setup take?

Mostly access and tracking. Someone grants read-only access to each account, conversion tracking is checked, and the sales team starts marking leads as qualified, after which the weekly review follows a routine.

Who needs it most

Businesses that ask for this.

Next to it

Modules that work with it.

Talk to us

Tell us how you handle AI AdTech today.

A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.

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