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
Discuss your task- Duration
- 1–2 weeks
- Format
- Remote, 2 meetings
- Who it's for
- Product, commercial and marketing directors
- Price
- Fixed, set after an intro call
When you need it
- A discount, promotion or new channel is planned and you need to know if it will pay off
- You are about to sign an advertising or partnership contract
- Past promotions “worked”, but revenue did not grow
What you get
- Hypothesis and success KPI definition
- Impact model on historical data with 2–3 scenarios
- Break‑even threshold in tangible units (visitors, transactions, players)
- An Excel or BI calculator for running your own scenarios
- A “renew / wind down” criterion to check after 1–3 months
Outcome: A go / no‑go decision backed by a number you can verify after the fact
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
- Online game publisher · monetization 50–60% of the active core already had their key slots fully covered
Talked the team out of a 20% discount — and protected revenue without an experiment
Related articles
-
The Effect of a Discount in an Online Game: Why a 20% Sale Would Not Pay Off and How to Estimate It Without an A/B Test
An online shooter case: why a blanket 20% discount on time-limited items would have cut revenue and how to estimate it without an A/B test.
Other services in this area
-
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
-
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
-
A/B Testing Audit and Setup
We review past tests, set up a methodology and sample size calculator, and train your team
-
Anomaly Monitoring: Bots, SMS Fraud, DDoS
We spot attacks and failures in your data before users and the finance team notice them
-
Online Game Economy and Community Analytics
We figure out where players leave, what keeps them in the game and which mechanics drive revenue
-
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