The AI decision system for leaders who own a traffic number
Stargazer turns a plain GA4 export into a 28-day forecast of futures — not one hopeful line, a full distribution. Then its AI analyst helps you make the call: it weighs your options, argues the tradeoffs, and shows you the best possible decision for your target and your risk appetite. You confirm. It never acts alone.
60 seconds. No integration project. No sales call.
01 · Observe
GA4 export in. Observatory out. Sixty seconds — no connectors, no six-week data engineering ticket.
02 · Forecast
Best case, expected case, worst case — your target drawn across it and one honest number: the probability of hitting it.
03 · Decide
You'll still make the call. You'll just make it with the odds on the table — and an analyst who's already done the math.
04 · Prove
Checkpoints at days 7, 14, 21 and 28. Beliefs update. The ledger remembers whether you were right.
An AI decision system — forecast, options, odds, and a graded record of every call.
You've lived this meeting. Someone asks “will we hit 200K sessions this quarter?” and you point at a trendline that goes up and to the right, because that's what the tool drew. Then week three arrives, the line was wrong, and now you're explaining variance instead of making decisions.
The problem was never your judgment. It's that your tools give you a point estimate when the question is about probability. “We'll get 210K” is a guess. “There's a 71% chance we clear 200K, and here's what closes the gap” is a decision.
One trendline, zero uncertainty. When it misses, nobody knows if the forecast was bad or the world just moved.
Raise spend? Push organic? Hold? You choose on gut and vibes, then defend it in hindsight.
Nobody records what was decided, what was rejected, or whether it worked. Every quarter, the team relearns the same lessons.
Pull your sessions data from GA4 the way you already do. CSV. Done.
Drop it into Stargazer. No connectors, no OAuth, no six-week data engineering ticket.
A 28-day forecast rendered as a distribution of futures — best case, expected case, worst case — with your target drawn across it and one honest number: your probability of hitting it.
The AI companion has already read your forecast. Ask it anything: why the odds moved, which channel is dragging, what it would take to close the gap. It analyzes your data, lays out your options, and recommends the strongest move — you make the call.
Raise paid spend. Push organic harder. Hold steady and protect margin. Stargazer draws each option as a branch of a fork — what it costs, what it's expected to return, and the probability of hitting your target under best, expected, and worst scenarios.
Then it matches the math to your appetite. Optimizing for expected value? Protecting the downside? Minimizing the regret of the road not taken? Pick your decision rule — expected value, worst case, minimax regret — and Stargazer shows which branch wins under it.
And you don't read the fork alone. The AI analyst walks the branches with you — “paid gets you there faster but burns margin; organic clears the target in the expected case but not the worst case” — and names the branch that best fits your decision rule.
You'll still make the call. You'll just make it with the odds on the table, and an analyst who's already done the math.
Most tools forecast and forget. Stargazer holds itself — and you — accountable. Checkpoints at days 7, 14, 21, and 28 compare forecast against observed reality. Beliefs update. The picture sharpens as the month unfolds.
And every call goes into the decision ledger: what you chose, what you rejected, what the odds said, and whether you were right. A permanent, honest record. Not for blame — for institutional memory. Six months from now, when someone asks “does raising paid spend actually move the number?”, you won't argue from anecdotes. You'll open the ledger.
This is where Stargazer stops being a forecasting tool and becomes a decision system. The AI companion sees everything you see — your data, your forecast, your target, your branches — and works it like a senior analyst would:
“Why did the odds drop this week?” “Which channel is underperforming its branch?” Ask in plain language; get answers grounded in your actual numbers, not generic advice.
It stress-tests your reasoning before the money moves. If your favorite option only wins in the best case, it will tell you — and show you the branch that wins in the worst one.
Given your target, your budget, and your risk appetite, it names the strongest move and shows its work: the odds, the cost, the downside.
Exact per-channel requirements — “organic needs to contribute 34K sessions; here's the weekly pace” — ready to hand to the team.
When day-7 or day-14 reality says the plan is drifting, it flags it and proposes the correction.
It acts only with your confirmation. A sparring partner with the math memorized — not an autopilot flying your quarter.
stop defending trendlines; start presenting probabilities.
justify spend decisions with the fork, not the gut.
one honest number for the board: the odds, this week, of hitting the target.
a full forecasting-and-decision stack without the data engineering project.
No. A GA4 export is the whole setup. If you can download a CSV, you're 60 seconds from a forecast.
Dashboards describe the past. GA4's projections give you a line. Stargazer gives you a distribution — the honest range of futures — tied to your target, an AI analyst that turns those odds into a recommended decision, and a ledger that grades every call against reality. It's not a reporting tool. It's a decision system.
A general chatbot has no forecast model, no scenario branches, no decision rules, and no memory of whether its last suggestion worked. Stargazer's AI reasons on top of a real probabilistic forecast of your traffic, evaluates options under explicit decision rules, and is held accountable by the checkpoint grades and the decision ledger. It's an analyst with instruments, not a conversation with vibes.
The forecast is a distribution precisely because traffic is noisy. Smaller sites get wider bands — which is the truth. Stargazer never pretends to more certainty than your data supports.
Your export stays yours. [Data handling policy to be published — processing details, retention, deletion.]
Never. It analyzes, argues, and drafts. Every action requires your explicit confirmation.
One GA4 export. Sixty seconds. Then you'll have what almost nobody in your industry has: the actual probability of hitting your number, an AI analyst who's already worked out what it takes to change it — and the best possible decision, waiting for your confirmation.
No credit card. No integration. No hopeful lines.