Know the moment an account is worth a call.
Your ad platform counts people. Kairo counts companies — who on your target list you actually reached, which of the buying committee engaged, what it cost, and which accounts have just crossed into market.
| Account | Stage | Score |
|---|---|---|
| Ravensbourne GroupLogistics | In market | 94 |
| Kestrel AnalyticsSoftware | In market | 88 |
| Alder & VossFinancial services | Engaged | 67 |
| Merrow IndustrialManufacturing | Engaged | 54 |
| Whitmore CloudSoftware | Aware | 31 |
| Fenwick LogisticsLogistics | No reach | 4 |
Campaign Manager was built for demand gen, not for named accounts.
It will happily tell you that a campaign delivered 41,382 impressions at a £58 CPM. It will not tell you that eleven of those impressions landed on the VP of Engineering at an account your AE has been chasing since March — or that the other 380 accounts on your list have not been reached once.
So ABM teams end up exporting CSVs, stitching them to a target list by hand, and presenting a number in the QBR they quietly do not trust. Kairo removes that entire step.
What the ad platform counts
- Impressions & clicks
- Cost per click
- Average frequency per person
- Audience size
Unit: a person. Correct for demand generation.
What ABM needs counted
- Accounts reached — and missed
- Cost per account moved
- Job functions per account
- Stage the committee has reached
Unit: a company. The one your strategy is written in.
Five things have to happen in order. Kairo does four of them.
This is a sequence, not a menu — each step depends on the one above it. You still own step five.
Turn impressions into companies
Kairo matches ad delivery back to the firmographic record and to your uploaded target list, so every campaign has a company-level view from day one — including the accounts that got nothing.
Track the buying committee, not the click
One click is noise. Several job functions from the same account engaging inside a few weeks is a signal. Kairo tracks breadth and depth per account, and flags when a new function appears for the first time.
Score the account and move its stage
Breadth, depth, seniority and recency roll into a single score with a stage attached. Weightings are yours to set, and the history is kept so you can see what a score was built from.
Tie spend to the pipeline that followed it
Opportunities are matched to accounts, not to last-click sessions. You get influenced pipeline on a touch definition you can defend, and cost per account moved — the number that governs the budget conversation.
Your rep makes the call
Kairo hands sales a scored, ranked list with the ads each contact saw and when. What happens on the call is still the part software should not pretend to do.
Eight things you stop doing in a spreadsheet
Company & contact engagement
See the named accounts behind your impressions, the job functions that engaged, and how many touches each one has taken.
Multi-channel attribution
LinkedIn, Google, Reddit and organic in one account timeline, so a self-reported source finally has something to check against.
Automatic account scoring
A score per account, recalculated nightly, with the weightings under your control and the full history retained.
Intent signals out
Push threshold crossings to Clay, Outreach, Salesloft, HubSpot or a raw webhook the moment an account moves.
Kai, the AI analyst
Ask a question about your campaigns in English. Get an answer built from your own data, with the query it ran shown underneath.
CRM sync both ways
Scores, stages and engagement written to the account record in HubSpot, Salesforce or Attio — and your opportunity data read back for attribution.
API and MCP server
Every object available over REST, plus an MCP server so Claude or your own agent can query the account graph directly.
Campaign dashboards
One dashboard per programme, not one per ad account. Compare a pilot against a scaled list without exporting anything.
The two that reached In market — Ravensbourne Group and Kestrel Analytics — both had a second buying-committee member engage for the first time. Ravensbourne added a Head of Ops after eleven touches on the migration-cost ad; Kestrel added a VP Engineering.
Both saw the same creative first: SI-04 · “What a bad migration costs”. That ad is carrying 61% of stage progressions on this list at a £38 cost per account reached, against a £71 list average.
The analyst who has actually read your campaign data.
General-purpose chatbots give confident answers about LinkedIn ads without access to a single row of your data. Kai is the opposite: narrow, connected, and willing to say when a sample is too small to call.
- Campaign intelligence. Which creative is moving accounts, not just earning clicks.
- Account briefings. Everything one company has seen, in a paragraph a rep can read before a call.
- Attribution questions. What opened after the spend, on a touch definition you set.
- Reporting. A board-ready summary of the quarter, generated in about ten seconds.
What changes in the first quarter
Illustrative accounts from early programmes. Names and figures are examples.
We were reporting reach against a list we rebuilt by hand every month. Once it went live, a third of that list turned out never to have been served at all. Uncomfortable meeting, very useful one.
Northfield Systems
The number that changed our budget conversation was not pipeline. It was cost per account moved into market. Once we had that figure per creative, half the ad set was obviously not worth running.
Tessellate
Our AEs ignored the old scores because nobody could explain them. Kairo shows the exact touches behind a number, with dates on them, and the arguing simply stopped within a fortnight.
Bluepine
Four differences that show up in week one
Accounts you did not reach are first-class
Most tools report on the engagement they happened to find. Kairo starts from your target list, so an account you never served is a row on the screen rather than an absence.
Scores you can defend in a pipeline review
Every score expands into the touches that produced it, with dates. No black box, no “the model says so”, and no argument with the AE about whether it means anything.
Priced for the team actually doing ABM
ABM platforms have historically opened at five figures a year and a six-week onboarding. Kairo is self-serve, monthly, and you connect it yourself in an afternoon.
Built to be queried by an agent
A REST API and an MCP server, so your own tooling — or Claude — can read the account graph directly, without a CSV in the middle.
The things people ask on the first call
Does this need a pixel on my website?
How is an “account reached” defined?
What happens to accounts LinkedIn cannot match?
Can I use this if most of my spend is not on LinkedIn?
How long before the numbers are worth showing anyone?
Is our target list used to train anything?
Find out which accounts your LinkedIn ads actually reached.
Connect an ad account, pick a target list, and Kairo backfills 90 days of company-level engagement before your trial is an hour old.