- Promotion and budget optimization builds a response curve for each channel, so you see where the next dollar is likely to return the most.
- H2O Driverless AI builds the models and explains each estimate, so finance and brand teams can challenge the numbers.
- Scenario runs compare budget splits before you commit, by region, brand and channel.
- H2O can be used for this job; no life sciences customer result is claimed on this page.
More channels, the same budget, and a plan built on last year
Your brand teams spread spend across field activity, digital, medical education, conferences and, where permitted, consumer channels. Each one reports its own results, in its own format.
The annual plan often starts from last year's split with small changes at the edges. That hides channels that have stopped returning and underfunds the ones that still could. You need one view that connects spend to sales across channels, regions and brands, and a way to test a new split before the money moves.
How promotion and budget optimization works
H2O can be used to build predictive models that link promotional activity to sales.
Step 1: join the history
Combine sales, promotional activity and spend by channel, region, brand and period, with market events such as launches, supply issues and competitor entries.
Step 2: model the response
Regression and time series models estimate how sales respond to each channel, including lag and saturation.
Step 3: build the model
H2O Driverless AI runs feature engineering, searches models, and combines them with a stacked ensemble where that fits better.
Step 4: explain the estimates
Shapley values show how much each channel contributed, so brand and finance teams can see why the model recommends a shift.
Step 5: plan and test
Your team compares budget scenarios, sets channel frequency, and checks the next quarter's results against the plan.
How this differs from a standard marketing mix model
It is the same idea, with each estimate explained. H2O Driverless AI searches many model types and returns the contribution of each channel, so your team sees the reasons behind a recommended shift, not just a number.
Where the data runs
Everything runs on-premises, air-gapped, private cloud or cloud, so commercial and licensed data stay where your contracts require.
Proof
This is a pattern. H2O can be used to model promotional response and plan budgets. No life sciences customer result is claimed on this page.