Kochava for Advertisers > Always-On Incremental Measurement
Invest With Greater Confidence. Maximize Incrementality.
Guide investments with marketing mix modeling (MMM) & incrementality testing purpose-built for everyday marketing professionals
KOCHAVA | Delivering performance clarity for top brands since 2011
The Confidence Crisis in Marketing Measurement
54
%
of marketers report no year-over-year improvement in their confidence in measurement.
TransUnion and EMARKETER, Oct 2025
75
%
consider their current measurement insufficient on speed, accuracy, or trust.
IAB / BWG, State of Data 2026
87
%
say MMM is important, but only 28% say their organization turns it into timely action.
Harvard Business Review Analytic Services, 2026
When your measurement is in doubt, your budget is too.
Your numbers get challenged
Every report invites a question you may not be able to answer.
Your credibility erodes
Doubt about the metrics becomes doubt about marketing.
Your budget gets cut
Spend you can’t defend is spend that’s easy to reduce.
Restore Measurement Confidence With AIM by Kochava
AIM (Always-On Incremental Measurement) is the MMM authority for app-first businesses.
Built on Kochava’s deep performance marketing experience, AIM combines advanced modeling and incrementality testing with expert support. Turn measurement insights into clear, justifiable investment decisions.
Badged in the TikTok Marketing Partners Program for Media Mix Modeling
Kochava is plugged into TikTok’s MMM API for paid and earned data. More Details
How MMM, Attribution & Incrementality Work Together
Each method answers a different question. AIM adds investment guidance to the attribution data your team already uses, with in-platform incrementality testing available in AIM Enterprise.
- MMM sets investment direction
- Last-touch attribution guides daily campaign optimization
- Incrementality testing challenges assumptions
Find the Right Plan
Tell us what you’re trying to measure and how your team makes budget decisions. We’ll help you choose the right AIM plan for you.
AIM Essentials
Fast Onboardingmonth to month
Get to your next budget decision faster.
Essentials uses aggregated daily spend and outcomes to deliver focused investment guidance with less data preparation and no need for an internal data scientist.
Time to First Model
1–2 weeks
Data Needed
Daily events & spend
Your Team’s Time
1 day
Technical Resources
None needed
AIM Enterprise
90-day POCfull platform depth
Plan future investment and understand past performance in more depth.
Enterprise adds retrospective analysis, in-platform incrementality testing, more detailed model diagnostics, and dedicated data science support.
Time to First Model
6–8 weeks
Data Needed
Fuller data spec
Your Team’s Time
4-5 days
Technical Resources
Yes, for data integration
Allocate Budget With Greater Evidence
Understand channel incrementality and compare how different budget allocations could support your growth objectives.
See Where Spend Could Work Harder
Use cost curves to identify where returns diminish and additional spend may have more room to work.
Create and Compare Budget Scenarios
Explore how different allocations could affect your business outcomes before committing spend.
Plan Ahead With Predictive Clarity
AI-powered investment briefs surface key decision signals your team needs, without hours of manual analysis.
Test & Challenge Findings
Run controlled experiments to estimate incremental lift and see whether results support or challenge your assumptions.
Understand Evidence Behind Recommendations
Review detailed model diagnostics and uncertainty with dedicated data science support.
Real Results for Real Brands
41
%
savings on cost per acquisition (CPA)
368
%
overattribution uncovered in a key paid search channel
12.5
%
lift in sales from media mix optimization
How AIM Works
Share your history
12+ months of events, media cost, geo, and platform data
AIM builds your model
Always-on modeling that refreshes weekly
Get clear answers
What each channel contributed, where budget can go, and what to do next
Insights & Answers for Every Team Member at the Budget Meeting
Marketers
Recommendations and cost curves ready to share—no analyst required
Data Scientists
With AIM Enterprise, examine model fit, uncertainty and assumptions behind the recommendations.
Executives
A defensible, data-backed story for leadership and finance
Frequently Asked Questions
How does AIM work with our existing MMP?
AIM works alongside your existing MMP, not as a replacement. Integration support is available for Kochava and other mobile measurement partners (MMPs), with no new SDK integrations and no campaign disruption. Your MMP keeps guiding day-to-day optimization, while AIM adds the investment view to show you where budget should go and returns are fading.
What data do we need to start using AIM for MMM?
About 12 months of history: daily spend by network and daily conversion events, plus a 1–3 month go-forward budget. AIM Essentials needs only total conversions by day. AIM Enterprise requires a fuller data spec, and you’ll need to provide daily conversion detail with full attribution metadata. All AIM data inputs are aggregated and privacy-first.
What’s the difference between AIM Essentials and AIM Enterprise?
AIM Essentials gives you focused investment guidance with lighter data needs and no data science resources required on your side. Essentials is offered on a month-to-month basis with no long-term commitment. AIM Enterprise adds incrementality testing, a data science module with diagnostics, publisher and campaign breakout, and dedicated data science support. Enterprise starts with a paid 90-day proof of concept. Contact us for help deciding on the right plan for you.
How long does it take to see initial model results from our AIM?
With AIM Essentials, typically 1–2 weeks to a first model, with about a day of your team’s time. AIM Enterprise needs a fuller data specification, so we scope a 6-8 week timeline with you. Either way, models refresh weekly once they’re live.
How is AIM different from other marketing mix modeling solutions?
Most organizations weigh three routes when approaching MMM solutions. Building in-house gives you full control, but it takes months to a first answer and requires data science headcount to keep running. Hiring a consultancy brings senior counsel, but results typically arrive quarterly, with a new engagement for each refresh. AIM is always-on software built for app and mobile marketers. Models refresh weekly, marketers can read the output without an analyst, and Enterprise adds incrementality testing to validate the findings. AIM can also run alongside an existing consultancy study or in-house model, so you don’t have to choose.
Resources
Fixing Broken Measurement: The Cure for Last-Touch Addiction
Watch Webinar On Demand
The Paradox of Plenty
Download Executive Summary
MMM 101: An Introduction to Marketing Mix Modeling
Download Ebook
Let’s Talk
Fill out the form below to connect with an AIM expert and learn how we can help you restore measurement confidence.