Practice
Revenue Intelligence
Turn marketing and reputation signals into financial decisions — from channel allocation and event economics to the revenue exposure behind a negative review or an AI-generated recommendation.
Decisions we model
The questions this practice answers.
- Where should the next marketing dollar go, and what must be true for it to pay back?
- Which field, partner, ABM and social programmes create incremental pipeline rather than claiming it?
- What is the directional revenue exposure of a reputation incident, and when is intervention justified?
- How do reviews, peer evidence and AI-visible reputation affect enterprise consideration and pipeline?
Products
Revenue Intelligence products
Revenue Intelligence
YourMarketingROI
Plan, benchmark and evaluate marketing investment across channels, programmes and markets.
Revenue Intelligence
PACT360 Reputation Intelligence
Quantify the potential financial impact of negative reviews, viral incidents, customer complaints and persistent AI reputation signals.
Revenue Intelligence
B2B Reputation Intelligence
Model how reviews, customer evidence, peer and community signals and AI-visible reputation influence trust, consideration and pipeline in complex enterprise buying journeys.
How we work
Model, compare, optimise, report.
Every engagement follows the same four steps, so assumptions stay visible and comparable from one decision to the next.
Model
Set the programme, market and category, with the cost lines most models leave out.
Compare
Test channels, formats and markets against external benchmarks and your own history.
Optimise
Reallocate to where the marginal return is highest, within brand and risk constraints.
Report
Present gross and incremental figures separately, so finance can trust both.
Test it, then take it further.
Run the model on your own assumptions first. When the decision needs validated inputs, benchmarks and a management-ready recommendation, bring it to us.