Introducing Forecast: Know a Campaign’s ROAS and LTV on Day 1, Not Day 30

Our new predictive engine forecasts revenue, ROAS, ROI and retention for your campaigns from as early as day one, so you can scale winners and cut losers weeks sooner.

Forecast is a new prediction engine inside justtrack that estimates how a campaign will perform at day 3, 7, 14, 30, 60 and 90, so UA managers can judge a cohort’s value in the first days instead of waiting a month for the actuals to land.

It sits natively in your justtrack dashboard, uses your own historical performance to make its predictions, and is honest about how confident it is in every number. Here’s the problem it solves. 

Forecast is available now in beta. We’ll keep refining the prediction models as more performance data comes in and as we gather feedback from studios using it.

The 30-day problem

Every UA manager knows the wait. You launch a campaign, the installs come in, and then you sit on your hands for up to 30 days to find out whether those users actually monetise or churn. By the time the true value is clear, you’ve either left a profitable campaign under-funded or poured budget into cheap installs that were never going to pay back.

The decision you need to make is on day one. The data that answers it arrives on day 30. Forecast closes that gap.

What does Forecast predict?

Forecast estimates the metrics that decide whether a campaign is worth scaling, at each milestone from day 3 to day 90:

• Cumulative ARPI (the per-user LTV curve). Predicted revenue per user over time. ROAS and ROI. Predicted return on ad spend and net profitability, so you see efficiency, not just volume.
• Retention rate. The forecasted share of users still active on each horizon day.
• Cumulative revenue. Total predicted revenue for the cohort, including a break-even view that shows predicted days to profitability.

You can forecast at the app, campaign and country level, and filter by partner, campaign and country to find exactly the cohort you care about.

Built to be honest about uncertainty

A forecast you can’t trust is worse than no forecast. So Forecast never hides how sure it is. Every predicted value carries a confidence indicator, high, medium or low, based on the model’s actual statistical margin of error, not a vague guess. Hover any number and it tells you why it’s confident or cautious.

It also refuses to guess when it shouldn’t. For a brand-new campaign or network with no history to learn from, Forecast simply doesn’t show a prediction rather than give you a made-up number. It waits until there’s enough data to be reliable. Low-volume cohorts are flagged. And because a displayed value blends real actuals with the predicted tail, you can always see how much of a number is already banked versus still forecast. This is the difference between a dashboard that looks confident and one you can actually act on.

For tROAS and CPI campaigns

Forecast fits both of the jobs UA managers are trying to do:

• Scale profitable tROAS campaigns sooner. Set a manual Target ROAS and a target day, and watch the predicted curve against your goal. When a campaign is on track to beat target, you can scale it with conviction days earlier.
• Guardrail CPI campaigns from day one. Get early visibility into downstream quality, so you can spot the “cheap” installs that churn immediately or never monetise, and adjust budget before the waste adds up.

Why this is Growth Intelligence, not just another dashboard

We built justtrack on the belief that a report which doesn’t change what you do is just noise. Forecast is that belief in product form. It doesn’t hand you more numbers to stare at; it turns the data you already have into a decision you can make on day one, which channel to scale, which to cut, which to watch. That’s the whole point of measurement built for growth.