ABM analytics for an independent SAP analytics consultant
As of 2026-08-14
Account-based marketing inverts the funnel: you start from a finite named list rather than generating awareness and waiting for leads to self-select. That inversion breaks the measurement too — lead volume, cost per lead and month-on-month conversion describe a population you deliberately do not have.
Four measures tell you whether a named-account programme is working: touches per account, hours invested per account by tier, conversion on cultivated accounts against opportunistic contact, and the horizon over which the first two turn into the third.
Touches per account, against a known threshold
The touch count is the leading indicator, because it is the only one that moves inside a quarter. A touch is any interaction with the account: a content view, a LinkedIn engagement, a conference meeting, an email, an introduction. Count it per account, never in aggregate.
Read it against the threshold that a typical business-to-business pursuit takes seven to fifteen touches before the first real sales conversation. An account at four touches with no meeting is an unfinished sequence, not a failure — and reading it as failure is the most common reason a solo consultant abandons a programme that was on track.
Hours per account, read against the tier
The investment measure only means something against the tier, because the spread is roughly a hundred to one. One-to-one, with a dedicated dossier and custom content, runs fifty to two hundred hours per account per year and is justified only for two or three must-win relationships. One-to-few, grouping five to fifteen accounts sharing a trigger or vertical, runs ten to thirty hours — the workhorse tier. One-to-many runs one to three hours: efficient but shallow, and it should feed the upper tiers.
For a freelance or two-person practice the envelope our corpus records is eight to twelve hours per account per year across twenty to thirty accounts.
Conversion, compared like for like
The headline contrast our corpus records is thirty to fifty percent conversion on ABM-cultivated accounts against two to five percent on opportunistic contact. Those are panel figures from our own concept corpus, not an audited market study, and the comparison is honest only if you segment by how the account entered the list.
That is where most solo programmes fail before any measurement starts. A target list that is really a wish list produces dossiers, sequences and a low conversion rate — and the diagnosis lands on the method when the fault is in the qualification.
The horizon, and the trap inside it
The conversion arc our corpus records runs twelve to twenty-four months: roughly the first year is investment, first opportunities appear between months twelve and eighteen, and a steady pipeline is a third-year outcome.
The trap follows directly. A consultant reviewing at ninety days concludes — wrongly — that the programme does not work, because at ninety days every measure that can have moved is a leading one. Match the review cadence to the arc: touches and hours monthly, stakeholder coverage quarterly, conversion annually.
What to instrument, following the six-step motion
Select, research, map, sequence, convert, measure — each step has one thing worth recording, and the discipline is to record it at the step rather than reconstruct it later.
Selection: the entry criterion per account, so conversion can be segmented. Research: whether the dossier exists — SAP estate, leadership changes, declared priorities, tender history. Mapping: how many of the three to seven people who matter you have identified. Sequencing: which touches are planned against which stakeholder, since the same whitepaper sent to a CFO and a head of analytics engages neither. Measure: which sequences actually moved accounts forward.
What we cannot assert
The conversion, touch-count and hours-per-account figures here come from our own concept corpus and its consultant panel, not from an audited market study, and we publish no benchmark for how they vary by country or by SAP product specialism. Treat them as a starting calibration, to be replaced by your own measured numbers after one full cycle.
Frequently asked
Which metrics replace lead volume and cost per lead?
Touches per account against a seven-to-fifteen threshold, hours invested per account read against its tier, conversion segmented by how the account entered the list, and the twelve-to-twenty-four-month arc those three play out over.
How long before an ABM programme shows a result?
Our corpus records a twelve-to-twenty-four-month arc, with first opportunities typically appearing between months twelve and eighteen and a steady pipeline treated as a third-year outcome. Reviewing at ninety days measures only leading indicators, so it produces a false negative.
How much time should a solo consultant budget per account?
Eight to twelve hours per account per year across twenty to thirty accounts is the envelope our corpus records for a freelance or two-person practice, mapping to the one-to-few tier with a couple of one-to-one accounts absorbing more.
Is the thirty-to-fifty percent conversion figure reliable?
Treat it as a panel-grade figure from our own concept corpus rather than an audited benchmark. It describes accounts selected through a tested Ideal Customer Profile; a list assembled from preference will not reproduce it.
What this page is built on
- Account-Based Marketing (ABM) (C052)
- Ideal Customer Profile (ICP) (C051)