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ABM modelling that sets credible expectations before activity begins.

Cremarc combines account-based marketing modelling and ABM forecasting to show how an account universe can move from reach and engagement into buying-committee coverage, qualified account progression and commercial opportunity.

Forecast account movement, then measure intent and pipeline impact

An ABM forecast should not start with the number leadership hopes to see. We model the available market, usable account data, achievable reach, buying-group coverage and the expected movement between defined progression stages. Conservative, expected and ambitious scenarios make the assumptions clear. Once activity begins, observed engagement, coverage and opportunity evidence replace those assumptions and improve the model.

OUR APPROACH

Define the commercial
ambition

We establish the revenue target, growth priorities, market focus and timescale for the programme, giving the ABM model a clear commercial outcome to work towards.

 

Quantify the addressable
opportunity

We analyse your market, existing customer base and available account data to calculate the number, value and accessibility of potential target accounts.

Model account value
and investment

We assess potential contract value, conversion assumptions, sales-cycle length and required account coverage to determine where investment can generate the greatest return.

Build the ABM programme
model

We translate the analysis into a practical model covering target-account volumes, 1:Many, 1:Few and 1:One segmentation, budget allocation, pipeline potential and measurable growth scenarios.

ABM MODELLING SERVICES

Market opportunity modelling

Quantify the realistic commercial opportunity across your target markets, sectors, regions and solutions to establish where ABM can generate the greatest value.

Target account modelling

Identify and prioritise the accounts with the strongest combination of fit, potential value, buying propensity and strategic importance.

Account segmentation

Structure target accounts across 1:Many, 1:Few and 1:One programmes based on their value, shared characteristics and required level of investment.

Pipeline and revenue forecasting

Model conversion rates, opportunity values and sales-cycle assumptions to forecast the pipeline and revenue an ABM programme could generate.

Investment scenario planning

Compare different account volumes, programme structures, channel budgets and resource levels to understand how investment could affect commercial return.

Selected Work

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Stop building ABM programmes on guesswork

Without a commercial model, teams risk spreading budgets too thinly and creating programmes that can’t succeed. ABM modelling replaces assumptions with a clear view of the opportunity, investment and account coverage required to drive growth.

Your target account list is too broad

Large account lists can create the appearance of scale while leaving insufficient budget and resource to influence the organisations that matter most.

Account selection is based on opinion

Sales knowledge is valuable, but relying on internal preference alone can overlook stronger opportunities and reinforce assumptions that are not supported by evidence.

Investment is disconnected from revenue

Without modelling conversion rates, account values and pipeline requirements, it becomes difficult to determine whether the proposed programme can deliver its commercial target.

Pipeline expectations are unrealistic

Revenue targets are often set without accounting for sales-cycle length, conversion rates or the number of accounts required to create sufficient qualified pipeline.

Budget is allocated without a commercial case

Channel and campaign budgets can become arbitrary when there is no model showing how investment should be distributed or what level of return it could realistically generate.

Testimonials

  • Put simply, the guys at Cremarc have been fantastic and cover all our marketing needs.

    Tom Smith, Managing Director, Advanced Dynamics

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Resources

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FAQS

ABM modelling uses market, account and commercial data to determine how an account-based marketing programme should be structured. It connects target-account selection, segmentation, investment and activity to realistic pipeline and revenue outcomes.