Application Development
Attribution modeling, marketing mix modeling, and predictive analysis that actually closes the gap between having data and using it.
Context
Marketing teams are working with roughly 230% more data than they were three years ago — and analytics still only influences around half of actual marketing decisions. More dashboards and more reports haven’t closed that gap. What’s actually missing is the statistical rigor to turn raw data into a real answer: which channels are actually driving revenue, what would happen if you shifted budget, and what’s correlation versus real, provable impact.
That’s what advanced analytics means — attribution modeling, marketing mix modeling, predictive analysis, and causal inference — not another dashboard, but the modeling layer that turns data into an actual decision.
Services
Context
Not every business needs — or can support — every model here, and we’ll recommend honestly:
typically requiring 18+ months of daily historical data and a substantial budget to build properly. It's usually the right move once signal loss from privacy restrictions is heavy, or once you're investing seriously in offline and brand channels a dashboard can't measure.
We'll tell you honestly which of these actually fits where your business is today.
Our Process
Discover
Understanding your business questions, data history, and what decisions the analysis actually needs to support.
Assess Readiness
Evaluating your data maturity to recommend the right model — not the most impressive one.
Build the Model
Attribution, MMM, predictive, or causal analysis, matched to your actual situation.
Validate
Testing model assumptions and confidence levels before recommendations go live.
Translate to Decisions
Clear, actionable recommendations — budget shifts, channel priorities — not just a model output.
Industries
Ecommerce & Retail
B2B & SaaS
Financial Services
Multi-Location & Franchise Businesses
Consumer Products
Healthcare
Honest about readiness
We won’t sell you Marketing Mix Modeling before your data and budget can support it.
Causal impact, not just correlation
Incrementality testing and causal inference, not pattern-matching dressed up as insight.
Built on a solid foundation
We start from accurate tracking and connected data — modeling on top of fragmented data just produces confident wrong answers.
Translated into decisions
Every model ends in a clear recommendation, not just an output.
No long-term contracts
We keep earning your account every month.
Honest Timeline
A focused attribution model or predictive analysis can typically be built within 4-8 weeks, depending on data readiness. Marketing Mix Modeling is a longer, more substantial engagement — expect 3-6 months to build properly, given the historical data and validation involved, and it’s genuinely not the right starting point for every business. We’ll tell you honestly which timeline actually applies to your situation.
Metrics
Pricing
Pricing varies significantly by model type — attribution and predictive modeling engagements are priced very differently than a full Marketing Mix Modeling build, which requires substantially more data and validation work. We'll give you a clear, honest estimate — including whether MMM is even the right fit yet — after a free scoping call.
Scoped to your project
Priced to the scope and complexity you actually need
Clear estimate upfront
A fixed-scope estimate after a free consultation
Honest recommendations
We recommend what fits, not the biggest package
Get a free advanced analytics scoping call — we'll assess your actual readiness and recommend the right model honestly.
FAQ
Free consultation
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