See the data

Marketing decisions, backed by data.

Schedule a walkthrough of the OutTroll analytics stack.

Schedule walkthrough Back to service

Free stack walkthrough

60 minutes with a senior analytics engineer — gaps, quick wins, 90-day roadmap.

NDA + SOC2 friendly Walkthrough scheduled in 5 days

480+ dashboards built. 12+ data sources per client.

Outcomes

What "decide on data" actually returns.

0

Spend attribution

Audit-ready, every dollar tied to outcome.

0

Forecast accuracy

Trailing 4-quarter average.

0

Data latency

From event → dashboard.

0

Faster decisions

68h → 4h, avg time to data answer.

Packages

Three paths to a single source of truth.

Implementation

Stack Setup

Foundational ingestion + first dashboards in 6 weeks.

$80K/ project
  • 6–8 source ingestion
  • Server-side event collection
  • Identity stitching
  • 4 role-based dashboards
  • Documentation + handover
Set up the stack
Retainer

Always-on Analytics

Stack + attribution + forecasting + QBRs, ongoing.

$18K/ month
  • All Setup deliverables, ongoing
  • Multi-touch attribution model
  • Quarterly forecasting + scenarios
  • Anomaly alerts to Slack
  • Monthly model retraining
  • Quarterly business review
Choose retainer
Strategic

QBR-Only

Quarterly insight reviews on top of your existing stack.

$45K/ quarter
  • Pre-QBR data review
  • Custom analysis on big questions
  • Forecast + scenarios for Q+1
  • Board-grade insight deck
  • 1-day on-site readout
Schedule QBR
Why us

OutTroll vs BI consultancies vs in-house analyst.

Capability
OutTroll
BI consultancy
Solo in-house analyst
Marketing-stack expertise
Specialist
Generalist
Variable
Build-as-code into your repo
Yes
Often vendor BI
Yes
Forecasting + attribution baked in
Standard
Add-on
Out of scope
Speed to first dashboards
6 weeks
12–26 weeks
6–12 months
Voices

Teams that finally have data they trust.

“

"Decision time went from 68 hours to 4 hours. We retired four spreadsheets. The CFO now opens the dashboard before our exec syncs."

RB
Raj Bhatt
CFO, Trove Apparel
“

"They built our entire attribution stack in our Snowflake. We own everything. No lock-in, no surprises."

AT
Anika Tanaka
Head of Analytics, Loop Health
“

"Forecast hit within 4% accuracy on Q1, Q2 and Q3. The board now trusts our marketing pipeline."

DK
Dev Kapoor
CMO, Tilo SaaS
FAQ

Common questions.

Always in your warehouse (Snowflake, BigQuery, Redshift) and your BI tool. We never own the data — we accelerate yours.
Always. We accelerate the marketing-analytics stack while they own the rest. Most clients keep us as a velocity layer for 12–24 months.
Server-side events with consent-aware payloads, hashed identifiers, EU regions where required. DPAs end-to-end. Shipped in fintech, healthcare, pharma stacks.
Foundational ingestion + first 4 dashboards live in 4–6 weeks. Iterative releases every two weeks — you see value continuously, not in a big-bang launch.