Smarter marketing decisions start with experiments.
Tests that lead to action
Any Marketing Mix Model software should highlight the next incrementality tests your team should run to improve and confirm model accuracy.
Each hypothesis requires different data, experimentation design, and has different implicants on what you can scale next. Our team helps you isolate the next move.
Ingest data in real-time, including PPC, offline spot reports, media schedules, conversions, and exogenous data while automatically assessing campaigns for any valid experiments.
Our data scientists or your in-house team (with our assistance, as needed) build your MMM candidates.
Generate a market test report to see the parameters required to run statistically significant experiments in a campaign.
Marketing science-optimised media budgets and experiments improve and validate your marketing mix models.
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We handle the cleaning and standardisation of you media and conversion data.
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Your live media and conversion dashboard lets you drill down into every dollar of your media spend.
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Data scientists train your team, examine your historical media and conversion data to establish an agreed baseline of channel impact pre-experimentation.
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Recommendations may include multiple marketing mix models for the top, middle, and bottom of funnel and potential exogenous data.
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Budget optimisation reports, scenario planning, and diminishing points of return improve with every successful experiment. We help every step of the way.
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We recommend how to roll out geo-holdouts and uplift test experiments within your upcoming media plan.
There are no lock-in contracts after completing the first two successful experiments, usually 6-months.
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You retain full control of your data; you can export Bimodal’s cleaned and standardised media, conversion, and grounded truth experimentation results anytime.
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We're a team of marketing nerds who love to prove the impact of great campaigns and impact on the bottom line they make.
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Our platform integrates multi-channel data, uses advanced modeling to isolate true incremental impact, providing clear ROI insights to optimise spending and justify budget decisions.
We plan geo-lift experiments with synthetic controls to measure causal effects, delivering statistically significant uplift estimates and actionable insights for channel, offer, market, or budget optimisation.
Our streamlined setup and real-time dashboards often yield preliminary insights within weeks, with comprehensive marketing effectiveness reports following each model refresh or incrementality tests completion.
We provide hands-on guidance from dedicated data scientists, extensive onboarding, training sessions, and continuous support to upskill teams and optimize model usage.
We’ve driven 10–20% ROI improvements across finance, retail, and consumer goods, using advanced modeling and incrementality testing to optimise multi-channel marketing strategies.
Our platform offers marketers a smarter way to make decisions. Ready to uplift your marketing effectiveness?
