Platform
Predictive Simulation
Predictive simulation is SellZyme's core capability: before any advertising change is applied, it models the likely sales, spend, ACOS, ROAS, and contribution-profit impact of that change, so the decision is made against an expected outcome rather than a guess.
Simulation
Raise bid on “kitchen storage” — exact
Predicted sales
+8.4%
Predicted spend
+2.1%
Expected ACOS
−1.8 pts
Profit impact
Positive
Illustrative interface — not customer data.
The problem
Rule-based tools discover the consequences of a bid change only after the budget has paid for them. By the time a report shows the damage, the money is gone and the learning is expensive.
How it works
Read the account's own history: how this campaign, keyword, and placement have actually behaved.
Model the range of likely outcomes for each candidate action, not a single optimistic number.
Score each action against your business goal — profit, growth, or efficiency.
Attach a confidence level, so low-certainty predictions can be treated differently from high-certainty ones.
Track the realised result against the prediction, and feed the error back into the next simulation.
What you get
- See the expected impact of a change before it touches the account
- Compare several candidate actions side by side
- Skip actions whose predicted downside outweighs their upside
- Hold the system accountable — every prediction is scored against reality
FAQ
Predictive Simulation — questions
- How does SellZyme predict advertising outcomes?
- SellZyme models each candidate action against the account's own historical behaviour — how that campaign, keyword, and placement have actually performed — and produces a range of likely outcomes for sales, spend, ACOS, and profit, along with a confidence level. Realised results are then compared back against the prediction so the model improves with the account's context.
- What happens when a prediction is wrong?
- Every action is logged with the prediction that justified it, and the realised outcome is measured against it. Actions can be set to revert automatically if the prediction misses for a defined period, and the error feeds back into future simulations.
- Is predictive simulation the same as forecasting?
- No. Forecasting projects what will happen if nothing changes. Predictive simulation models what would happen for each specific action you could take, so it can be used to choose between them before committing spend.
See what your next advertising decision could deliver.
Let Zyme analyze your account, simulate the opportunity, and show you what to do next.