We measure the real lift
your ad spend creates.
Add up the conversions every platform reports and you get more than your actual sales. OpenNexus uses measurement design, attribution analysis and incrementality testing to confirm which ads actually drove revenue.
What you can't measure, you can't improve. Measure it wrong, and you improve the wrong things.
Cookie restrictions and privacy regulation keep making digital measurement harder. We build everything from collection, such as tagging, to an integrated measurement system that cross-validates several methods, so advertisers can make budget decisions on evidence.
Accurate data collection
Tagging, CAPI and server-side measurement reduce missing and duplicated data.
Integrated measurement framework
Attribution, MMM and incrementality tests are used together to cross-validate results.
Analysis that ends in action
Every analysis closes with a budget reallocation plan and a proposal for the next test.
Marketing data
problems we solve.
Every platform claims the credit.
An attribution model on one standard plus incrementality tests strip out conversions counted by multiple platforms, and calculate each platform's net contribution.
Our data hasn't matched since we moved to GA4.
We review and fix event design, conversion definitions and tag implementation end to end, rebuilding a data foundation you can trust.
We don't know where to put next year's ad budget, or how much.
MMM estimates each platform's response curve and saturation point, and simulates the budget allocation needed to hit your revenue target.
Building reports takes too much time.
We build automated dashboards that connect platform APIs with your internal data. Your team spends its time interpreting numbers instead of copying them.
From collection to decisions:
the full data process.
Data scientists and engineers work together on measurement design, data engineering, analytical modeling and visualization.
Tagging & measurement design
We design and implement GA4, tag managers, CAPI and server-side measurement.
- Measurement spec
- GTM · server-side tagging
- CAPI implementation
Data pipelines
We collect platform, site and CRM data into a single repository.
- Platform API collection
- Data warehouse
- CDP integration
Attribution analysis
Data-driven attribution models evaluate how channels interact.
- Multi-touch attribution
- Path analysis
- Proprietary probabilistic model
Marketing mix modeling
We estimate each platform's response curve to optimize budget allocation.
- MMM build
- Saturation · lag effect analysis
- Budget simulator
Incrementality testing
Geo- and audience-level tests measure the causal effect of advertising.
- Geo-based tests
- Holdout tests
- Conversion lift
Dashboards & reporting
KPI-focused automated dashboards and decision-ready reports.
- Looker Studio
- Executive reports
- NexaAI dashboard
Data project process
Data audit
We check current collection and data quality.
Build measurement
We design and implement tagging and pipelines.
Modeling
We design and analyze attribution, MMM and tests.
Act
Findings go into budget reallocation and the next test.
Tools · platforms
- Google Analytics 4
- Google Tag Manager
- BigQuery
- Looker Studio
- Meta Conversions API
- AppsFlyer · Adjust
- Amplitude
- Python · R
- NexaAI
KPIs we manage
Frequently asked questions
How much data do we need for MMM?
Can we get data consulting without ad management?
How do you handle privacy regulations?
Can you integrate with our data warehouse?
We start by auditing
your current account.
Tell us your goal, monthly budget and timeline. Within 2 business days, the strategy team assigned to you will send an account audit and a first proposal.
