Your tracking sees clicks.
It doesn’t see growth.
01TODAY
Old methods only capture the easily-tracked.
Prevailing attribution based on cookie, pixel and UTM tracking is failing under privacy regulations. Does your current tool tell you search is most effective, and report minimal impact for prospecting?
02WITH MAXMA
Reliable attribution across the full marketing funnel.
Maxma uses advanced data science to reliably attribute conversions, orders, leads, signups and downloads, across your entire marketing funnel, regardless of tracking quality.
Incremental performance,
monitored across every channel.
A marketing mix model estimates how much each channel contributed to sales, without cookies, pixels or UTM tags. Its advantage is scale: every channel and every market at once, measured again week after week.
Incrementality measured across all channels.
Measure the true incremental impact of marketing across channels and markets, without being affected by cookie loss. Continuously monitor and optimize your investment while adapting to market changes.
Cost per incremental conversion
Know which channels and tactics drive incremental value.
See how much each channel really contributes, and properly attribute the traditionally hard-to-track top-of-funnel channels such as YouTube and CTV.
Incremental conversions per channel
Accelerate learning and growth.
Built through deep R&D, our algorithm enables fast iteration and tactical-level optimization. We turn traditional marketing mix modeling from an annual evaluation into a continuous growth optimization engine.
How the ongoing marketing mix model works →Other MMM Providers
Medias
Regions
Every 6-12 months
Maxma
Medias
Regions
Every Week
Put the budget where
it earns the most.
Put every dollar where it earns the most. Ask what to do with the budget you have, or with more, or with less, and see what it would mean for growth before you commit.
1. Select optimization scenario
Split a weekly budget for maximum impact. The target can match, exceed or fall below current spend.
Place extra spend where it buys the most, without cutting anything.
Take spend out where it costs the fewest conversions, without adding anywhere.
Raise spend wherever extra conversions still cost at most your threshold.
Lower spend wherever the last conversions cost more than your threshold.
Both at once: grow what is cheap, trim what is dear. The budget is the result.
2. Review what the model projects
Weekly budgetSame spend
Current$120,000→Projected$120,000
Weekly conversions+15.8%
Current1,840→Projected2,130
Cost per conversion−13.6%
Current$65.20→Projected$56.30
3. Where the money moves
Current weekly budgetRecommended weekly budget
Especially relevant
if you are…
Not seeing adequate conversions from top-of-funnel channels in your current tool.
Looking to scale paid advertising and diversify across channels and regions.
Adopting a data-driven approach to test, measure, and accelerate growth efficiently.
Looking to get a clear and comprehensive view across all channels.
Real incremental growth,
measured.
30%+
lower incremental CPA from upper-funnel channels
Always-on incrementality measurement helped NinjaOne scale into 5+ upper-funnel channels in under six months.
Read the story
~40%
lower incremental CPA while scaling Performance Max 4×
Unified conflicting attribution sources in two weeks, then ran a weekly test, measure and scale loop anchored on real business impact.
Read the story
4 tests
in 2 months, now always-on
Scaled an under-credited tactic that proved incremental, right-sized lower-funnel spend, and skipped expansion that wasn’t.
Read the storySimple to get started.
Nothing to instrument.
01
No pixel
No need for pixel, UTM, or any other tracking setup. Future-proof GDPR and CCPA compliance.
02
Clicks to connect data
Connect to your data from different ad platforms and commerce sites in a few clicks.
03
Pay less, achieve more
We turn the best solution into scalable software, so you pay much less and achieve great ROI.
See what it costs on the marketing mix model pricing page.
Built by marketing scientists from Google, Amazon, Uber and Asana
Yurong Fan
Founder & CEO
ex-Asana, Neustar, P&G
Edwin Ng
Data Scientist
ex-Amazon, Uber · Meridian-cited MMM researcher
Lu Zhang
Advisor
10 years on Google's ad algorithms
Gallant Chen
Advisor
ex-VP Digital Marketing, Zendesk
Yefeng Wang
Engineer
Deep Learning PhD researcher, UMN