ZapTap multi-touch attribution and marketing mix modeling give you the full picture of how every channel, campaign, and touchpoint contributes to revenue. Stop arguing about credit and start optimizing your entire funnel.
When you cannot see the real contribution of each channel, budget decisions are based on incomplete data. We fix that.
Multi-touch attribution models distribute credit across every touchpoint so you see the true influence of awareness, consideration, and conversion channels.
Independent, platform-agnostic measurement compares Google, Meta, LinkedIn, and offline channels on a level playing field using your own first-party data.
Marketing mix modeling incorporates TV, radio, print, events, and sponsorships alongside digital channels for a complete budget optimization view.
Server-side tracking, first-party data strategies, and probabilistic modeling maintain attribution accuracy in a cookieless world.
Predictive scenario planning lets you simulate how shifting spend between channels will affect pipeline and revenue before committing real dollars.
Unified attribution across CRM and marketing platforms creates a single source of truth that both teams trust for pipeline reporting.
Time-decay and position-based models designed for 60-180 day B2B sales cycles properly weight early-stage touchpoints that initiate deals.
Revenue-weighted attribution connects every marketing touchpoint to closed-won pipeline so reporting speaks the language of the CFO.
From data collection to executive reporting, every component of modern marketing measurement is covered.
Algorithmic and rule-based models that distribute conversion credit across every touchpoint in the buyer journey.
Econometric models that quantify the revenue contribution of all channels, including offline media, seasonality, and external factors.
Controlled experiments that prove whether a channel actually drives incremental revenue or just captures demand that would exist anyway.
Server-side tracking, identity resolution, and data warehousing that ensures clean, complete, and privacy-compliant attribution data.
Predictive models that forecast how changes in channel spend, mix, and strategy will impact pipeline, revenue, and customer acquisition.
Executive and operator dashboards that visualize attribution data, channel contribution, and budget recommendations in real time.
Connect marketing touchpoints to CRM opportunities and closed revenue so attribution reflects real business outcomes, not just leads.
Attribution strategies designed for a cookieless, privacy-regulated world using first-party data, server-side tracking, and modeled conversions.
Companies with mature attribution capabilities consistently allocate budget more efficiently and grow faster than competitors relying on platform-reported metrics.
Knowing the true contribution of each channel means you can shift spend toward the highest-ROI activities and eliminate waste.
Revenue-weighted attribution gives the CFO undeniable proof that marketing spend generates measurable pipeline and closed deals.
Scenario planning lets you model the impact of budget changes before committing real dollars, reducing risk and accelerating growth.
A single source of truth for lead source and campaign influence eliminates cross-team disagreements and aligns everyone on what works.
First-party data strategies and modeled conversions ensure your attribution remains accurate as cookies disappear and privacy regulations tighten.
average ROAS improvement after deploying ZapTap multi-touch attribution
A phased approach that delivers actionable attribution insights within six weeks.
We audit your tracking infrastructure, data quality, and current attribution approach to identify gaps and quick wins.
We select the right attribution methodology for your business model, sales cycle, and channel mix, then design the data architecture.
We implement server-side tracking, fix UTM governance, deploy identity resolution, and ensure every touchpoint is captured cleanly.
We build, train, and validate your multi-touch and marketing mix models using historical data, then calibrate against known outcomes.
Attribution insights are surfaced in executive dashboards with budget optimization recommendations and scenario planning tools.
Quarterly model recalibration, incrementality testing, and budget reallocation ensure attribution accuracy improves over time.
Multi-touch attribution for long B2B sales cycles with demo requests, free trials, and enterprise pipeline as conversion events.
Cross-channel attribution that connects paid social, search, email, and influencer spend to orders, LTV, and return on ad spend.
Attribution modeling for account openings, loan applications, and AUM growth across regulated digital and offline channels.
Patient acquisition attribution across search, referral networks, and community outreach with HIPAA-compliant data handling.
Enrollment attribution connecting awareness campaigns to applications, deposits, and matriculation across 12+ month decision cycles.
Dealership attribution tying digital ads to showroom visits, test drives, and vehicle purchases with offline conversion integration.
A Series C SaaS company discovered that 40% of their paid search budget was capturing branded demand, not generating new pipeline.
Platform-reported ROAS made every channel look profitable, but pipeline growth had plateaued. The CMO suspected budget misallocation but had no data to prove it.
ZapTap deployed multi-touch attribution with CRM pipeline integration and ran incrementality tests on the top five spend channels to isolate true incremental contribution.
A fast-growing DTC brand spent $300K monthly on influencer partnerships but had no way to measure their impact on sales.
Influencer posts drove brand awareness but traditional last-click attribution showed near-zero ROAS, leading the board to question the investment.
ZapTap built a marketing mix model that isolated the halo effect of influencer content on branded search, direct traffic, and social conversions, proving the true contribution.
A regional bank with $5M in annual marketing spend had no visibility into which channels drove account openings versus just website visits.
Last-click attribution credited organic search for 80% of conversions, but the marketing team suspected paid social and display were initiating most customer journeys.
ZapTap implemented multi-touch attribution with offline branch visit data and ran geo-based incrementality tests on display and paid social campaigns.
“ZapTap showed us that our highest-spend channel was mostly capturing branded demand. We shifted $400K to upper-funnel and pipeline grew 31% in one quarter.”
“The marketing mix model finally gave us a way to justify influencer spend to the board. Real data, not guesswork. It saved a program the team believed in.”
“We went from arguing about which channel gets credit to having a single source of truth the whole leadership team trusts. The CFO now asks for the attribution report.”
Multi-touch attribution tracks individual user journeys across digital touchpoints to distribute conversion credit. Marketing mix modeling uses aggregate data and statistical regression to measure the contribution of all channels, including offline media, seasonality, and external factors. We recommend using both for a complete picture.
We implement server-side tracking, enhanced conversions, first-party data strategies, and probabilistic identity resolution to maintain attribution accuracy. Our models are designed to work with decreasing third-party cookie availability.
Yes. Our models are built for 60-180 day sales cycles with time-decay and position-based weighting. We integrate with your CRM to connect marketing touchpoints to pipeline stages and closed-won revenue.
Most clients have production attribution dashboards within six weeks. Marketing mix models require 2-3 years of historical data and are typically delivered in 8-10 weeks.
Yes. Our marketing mix models incorporate TV, radio, print, out-of-home, events, and sponsorships alongside digital channels. We also support offline conversion tracking for in-store and phone-based conversions.
We validate models using holdout testing, incrementality experiments, and backtesting against known outcomes. Quarterly recalibration ensures models stay accurate as your channel mix and market conditions evolve.
We integrate with all major ad platforms, CRMs like Salesforce and HubSpot, CDPs like Segment, and data warehouses like BigQuery and Snowflake. Custom integrations are available via API or webhook.
Stop relying on last-click reports and platform-inflated metrics. Get a free attribution audit and discover where your budget is actually working.