Skip to main content
GullySystem
AI for Marketing · Solutions

Credit each order to the campaigns that touched it, in one report.

AI Campaign Analytics pulls spend and results from your ad accounts, email tool and CRM into one table per campaign. It shares out credit for each order across the touches that came before it and shows more than one view of that credit. Your marketing lead reads it, questions it and decides where budget moves.

What it is

Every ad platform reports its own wins. Added together, the claims come to more orders than you actually shipped. The marketing lead then spends the first days of each month copying numbers into a sheet that nobody fully trusts.

Here the numbers are pulled in on a schedule and matched to real orders from your CRM or billing. Credit for an order is spread over the campaigns that touched the buyer. You can switch between methods and see how far they disagree.

Where it goes wrong today

The problems this is meant to ease.

Each platform claims the same order

Ad platforms each report their own conversions, and together the claims add up to more orders than the business actually delivered in the month. Nobody trusts the totals.

The monthly report is copied by hand

The marketing lead spends the first days of every month copying exports into a sheet, and a pasted column in the wrong row can go unnoticed for weeks. Errors hide in the copying.

Cheap leads that never buy

A campaign with a low cost per lead looks like a winner until sales report that most of its enquiries were wrong numbers, students or price checkers. Lead quality never reaches marketing.

Campaign names do not match

One campaign is called spring_sale in the ad account, Spring Sale in the email tool and nothing at all in the CRM, so its results cannot be added. Joining needs one naming rule.

Sudden changes are noticed late

A broken tracking link or a runaway daily budget goes unseen until the monthly bill or report arrives, long after the money has gone. Nobody was watching the daily numbers.

Inside the module

What AI campaign analytics does.

Spend and results in one table

Ad cost, clicks, email sends, enquiries and orders from each channel sit side by side per campaign, in the date range and currency you choose. One table replaces six exports.

Dashboards and saved reports

Campaign dashboards show spend, enquiries and orders by channel, region or product, and any filter your team uses often can be saved and shared as a report.

Goals and lead quality

Each campaign carries its stated goal, and sales staff mark its leads as qualified or not, so cheap enquiries that never buy are easy to spot.

Audience, channel and creative

Results are cut by audience, channel and creative, so a team can see which ad, which age group or which message brought enquiries that later became orders. Small groups are marked as thin.

Credit shared across touches

Each order is split across the campaigns the buyer met, using first touch, last touch or a weighted view, and each view is shown beside the others. Every method has a blind spot.

Tied to real orders

Results are checked against invoices or closed deals in your CRM, so a conversion claimed by an ad platform that never became an order is visible.

Naming problems flagged

Campaigns with missing tags, duplicate names or spend that matches no channel are listed for a person to fix at the source.

Scheduled reports and alerts

Weekly summaries are written in plain words for named readers, and an alert is raised when a campaign’s cost per lead or spend leaves its usual range. A person reads each alert.

Where it gets used

What this looks like in a working week.

Digital agency

A digital agency with several clients sends each one the same report layout from their own accounts, instead of rebuilding a deck by hand each month. The layout stays the same.

Multi-branch clinic

A multi-branch clinic compares leads from map listings, a search ad and a referral card by how many became booked and completed visits, not by calls received. Visits are the measure.

Online clothing store

An online clothing store compares an influencer post with a banner ad by first orders and not clicks, using the first-touch and last-touch views side by side. The two views may disagree.

Software company

A software company links trial sign-ups from each ad group to paid plans in its billing records, so the report counts qualified conversions rather than sign-ups alone. Billing is the source of truth.

Hotel

A hotel watches daily spend on a search campaign and receives an alert when its cost per enquiry leaves the usual range, for a person to check. The alert only points the way.

Who touches it

The people who open this every day.

Performance marketer

Checks daily which campaigns bring enquiries that later become orders, not just clicks.

Marketing head

Prepares the monthly review with one table in place of six exports.

Agency account manager

Sends clients a consistent report across their accounts without rebuilding it each month.

Finance lead

Matches marketing spend to the ledger and sees which campaign each cost belongs to.

How it is set up

From first conversation to daily use.

  1. Discovery

    We list your ad accounts, email tool, CRM and billing package, note which campaigns run where, and agree which goals count as a qualified lead for each. Sales joins this meeting.

  2. Data readiness

    Campaign names, tags and channel mappings are checked across the ad accounts and CRM, and spend that matches no channel or order is listed for someone to correct. A naming rule comes first.

  3. Trial on two channels

    Two channels are loaded with two quarters of spend, enquiries and invoices. The first campaign table is built from those records. Totals are checked by hand.

  4. Review by marketing, finance and sales

    The marketing lead and a finance colleague compare the table with the ad invoices and the ledger, and sales staff confirm which leads they would call qualified. Differences are explained, not hidden.

  5. Going live

    Every channel is then connected, the saved reports are shared with named readers, and weekly summaries and alerts go to the owner of each campaign. Each reader sees only what their role allows.

  6. Reviewing afterwards

    After each quarter the team compares cost per lead and qualified conversions with the baseline, retires unused reports and adds new channels or alert rules as campaigns change. Old reports are removed.

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.

  • Cost per lead is a campaign’s spend divided by the enquiries it brought, measured against ad and CRM exports from the last full quarter before launch.
  • Qualified conversions count leads that sales staff marked qualified or that became orders, and today’s CRM records give the starting figure.
  • Campaign return compares the revenue linked to a campaign with its spend under the attribution method you choose, and the baseline is the sheet your team keeps today.
  • The gap between platform-claimed conversions and orders found in invoices shows how far the ad accounts overstate, measured on the last full month before go-live.
  • The time your team spends building the monthly report is noted from a short staff log before go-live, and kept as a plain reference for later reviews.
Used responsibly

Where a person stays in charge.

Attribution is a convention

Each method, whether first touch, last touch or weighted credit, rewards a separate stage of the buyer’s path, and none shows that a campaign caused an order. Read them as views, not verdicts.

People make the changes

The software reads data and writes reports, and any change to a budget, bid or audience is made by a person inside the ad account itself. Alerts point; people decide.

Data quality sets the limit

Untagged links, renamed campaigns and late-arriving platform numbers can shift a report, so each report shows the date of its latest refresh and the gaps it found. Fix tags before trusting totals.

Privacy and tax stay with specialists

Lead records hold names and phone numbers, so access follows roles, and tax treatment of ad spend differs by country and belongs with your own accountant. The software gives no tax advice.

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.

  • Ad accounts
  • Email and messaging tools
  • CRM and opportunity management
  • Invoice management
  • Website analytics
  • Dashboards and KPIs
Common questions

Questions owners ask about AI campaign analytics.

Which attribution method is correct?

None is. Each is a convention with a blind spot. The report shows them together so you can see where they disagree, and the disagreement is often the useful part.

Can it change my budgets or pause a campaign?

No. It reads data and writes reports. Any change in an ad account is made by a person, in that account, after reading what the report says.

What if our campaigns carry no tags?

Then credit cannot be shared reliably. The first job is a naming rule and tagged links, which GullySystem sets up with your team. Reports improve as the tagged history grows.

Do we need it for a single channel?

Usually not. If all spend goes to one platform, its own report is enough. This helps once three or more channels feed the same buyers.

Does it handle tax on ad spend?

It records the amounts as your accounts hold them. Tax treatment differs by country and belongs with your accountant. This tool only organises figures and offers no tax or financial advice.

Which data comes first?

You need spend and results from each ad account, plus enquiries and closed orders from your CRM or billing, linked by a campaign tag. Without orders, only clicks get counted.

Who gets the alerts and what do they do?

Named people receive a message when a campaign’s numbers leave their usual range and then open the ad account to look and decide whether anything is wrong. Many alerts turn out harmless.

What does it cost and how much work is it?

Price depends on how many channels are connected and how tidy the tags are. We quote after looking at your accounts. Naming takes most of the effort.

Talk to us

Tell us how you handle AI campaign analytics today.

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

  • No obligation
  • A reply within one business day
  • Your details stay private

Start with your requirements

Seven short steps that tell us what you need. An engineer reads them before getting in touch.

Share your requirements