Honest CRM Evaluation: Campaign Incrementality
We separate the impact of your campaigns from purchases customers would have made anyway and find the segments where communications truly pay off
Discuss your task- Duration
- 6–8 weeks (including a one‑month test)
- Format
- Remote + support during test launch
- Who it's for
- CRM, e‑commerce and retail leaders
- Price
- Fixed, set after an intro call
When you need it
- The email report shows a big effect, but revenue does not grow
- You need to know whom to message and whom not to
- Before scaling CRM channels or buying a new platform
What you get
- Design of a global holdout group and A/B tests with sample size calculation
- Pre‑launch group balance checks and selection effect control
- Analysis on the original random split with confidence intervals
- Response segments: whom to contact and whom not to
- A playbook for regular testing by your team
Outcome: An estimate of CRM incremental revenue and a criterion for scaling channels
Let's see if this format fits
We start with a free 30‑minute call: we clarify the task and propose the right scope and timeline
Related case studies
- Retail chain and e‑commerce · CRM +77% → +4.8% initial vs. correct estimate — overstated ~16x
Disproved the client's earlier estimate: +77% turned out to be +5%
Other services in this area
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Pre‑Launch Decision Check
A discount, a promotion, a new channel or an advertising contract — we estimate the impact on your data before any money is spent
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Attribution and Marketing Data Audit
We find traffic and conversions that get lost along the way and fix attribution so budgets are allocated based on accurate numbers
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A/B Testing Audit and Setup
We review past tests, set up a methodology and sample size calculator, and train your team
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Anomaly Monitoring: Bots, SMS Fraud, DDoS
We spot attacks and failures in your data before users and the finance team notice them
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Online Game Economy and Community Analytics
We figure out where players leave, what keeps them in the game and which mechanics drive revenue
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Proof of Value: Data Product
In 8–12 weeks we launch a production‑ready PoC: LTV and churn models, UA pipelines, live ops triggers, dashboards and A/B test design