Marketing Analytics & Data that Drive Decisions
Unified dashboards, full-funnel attribution, and predictive AI insights so you always know what's working, what isn't, and where to put the next dollar of budget.
Proven Performance Metrics
Why Marketing Analytics Matters Now
The Old Way
Without reliable attribution
The Intelegencia Way
With Intelegencia
How We Deliver Marketing Analytics
Three interconnected disciplines form our analytics practice: clean data in, honest attribution through the middle, and forward-looking forecasts out. Each layer builds on the one before so insights compound rather than contradict.
Data Integration
Consolidate fragmented platform data into a single, trustworthy source of truth.
- Cross-platform data pipeline setup and maintenance
- Tracking and tagging health audits
- Event taxonomy standardization
- Unified marketing dashboard delivery
Attribution Modeling
Move beyond last-click to understand which touchpoints genuinely drive conversion.
- Multi-touch attribution model selection and calibration
- Channel and campaign ROI reconciliation
- Cross-device journey stitching
- View-through and assisted conversion analysis
Predictive Forecasting
Turn historical patterns into forward guidance so budget decisions are proactive, not reactive.
- Demand and revenue forecast modeling
- Scenario-based budget allocation recommendations
- Seasonal trend and saturation curve analysis
- Confidence-interval reporting for executive reviews
Full-Funnel Attribution, Finally Clear
Most teams can't say which spend actually drives revenue because each platform reports its own numbers and claims credit for the same conversion. We pull Google Ads, Meta, LinkedIn, and your CRM into a single data warehouse, apply a multi-touch attribution model calibrated against actual closed revenue, and surface per-channel ROI in dashboards your media buyers and finance team read from the same source.
Know Where the Next Dollar Goes
Reporting tells you what happened last month; predictive models tell you where to put next month's budget before you overspend on a channel that is saturating. We build demand and revenue forecasts using your historical spend curves and seasonal patterns, then run scenario comparisons so you can see the projected return of shifting, say, 15 percent of paid search budget into paid social before committing. Anomaly alerts fire within hours when efficiency drops, not at the next weekly review.
Driving Measurable Business Outcomes
Explore the specialized capabilities within this service, each engineered to deliver measurable business outcomes at enterprise scale.
Implementing Google Analytics 4 correctly from the ground up, with event tracking, conversion configuration, and data integrity that gives you analytics you can actually trust.
Your Analytics Maturity Path
Most teams sit somewhere between scattered tracking and a full measurement stack. This four-stage path closes that gap systematically, delivering usable output at each stage so you are never waiting for a big-bang launch.
- 01
Tracking Audit
Identify gaps, duplicate fires, and broken tags before they corrupt another quarter of data.
- 02
Unified Data Layer
Connect ad platforms, CRM, and analytics into one clean, query-ready data warehouse.
- 03
Attribution Baseline
Establish a multi-touch attribution model agreed on by marketing, finance, and leadership.
- 04
Predictive Insights
Layer forecasting and budget-allocation models on top of clean, attributed data.
The Analytics Governance Model
Clean data and good models degrade without discipline. These four operating phases keep your measurement layer accurate, trusted, and continuously improving as your channels and business evolve.
Phase 01
Instrument
Audit every tracking touchpoint and enforce a canonical event taxonomy.
Phase 02
Validate
Run data-quality checks on every pipeline so anomalies are caught before reports are published.
Phase 03
Analyze
Produce weekly attribution reads and monthly forecast updates for channel and budget owners.
Phase 04
Calibrate
Quarterly model reviews realign attribution weights and forecast inputs to current market conditions.
Meet Your Expert
Antriksh Tewari
Head of Digital Marketing
Analytics is Antriksh's native language. He builds the measurement layer most teams wish they had started with: trustworthy tracking, attribution you can defend in a board meeting, and dashboards that point to a decision rather than just a number. The goal never changes: turn scattered marketing data into a clear read on what to fund, fix, or kill.
Case Studies That Deliver the Real Story
Explore our case studies to see how we empower businesses by creating unique, cutting-edge solutions that drive growth, efficiency, and success.
Ready to see what
Intelegencia can do for your business?
Let's turn your toughest challenges into measurable outcomes. Talk to our team and discover how the right partnership can accelerate your next move.
Insights
Latest Insights
Frequently Asked Questions
About Marketing Analytics & Data
Here you will find answers to questions we get asked the most about our offerings.
We connect Google Ads, Meta, LinkedIn, TikTok, and programmatic DSPs to analytics layers like GA4, Adobe Analytics, and Segment, then land the unified data in BigQuery, Snowflake, or Redshift depending on your stack. If you use a platform not on that list, we assess its API capabilities in the discovery sprint before committing to a timeline.