Get accurate reporting, attribution, and campaign optimization with

Marketing & Growth Data Warehouse

We design and manage a Marketing & Growth Data Warehouse, where we bring all your customer data into one place, fix attribution across platforms, and let you send accurate conversion data back to Google Ads, Meta, and other platforms.

The data problems
that slow down your marketing growth

Why marketing teams need a Growth Data Warehouse

The problem:

Cross-platform data fragmentation

Your customer data lives in many different tools: ads platforms, web and product analytics, CRMs, product database, billing system, email tools.

Each platform shows different numbers, reports don’t match, and no one fully trusts the data.

When data is fragmented, it becomes almost impossible to understand the full customer journey from first click to revenue.

 
Why this hurts

You don’t have a single source of truth
Reports show conflicting results
Marketing, product, and finance see different metrics
Analysis takes too long or requires manual work
Decisions are made with incomplete data
How we help:

We build and manage a Marketing & Growth Data Warehouse that brings all your customer data into one place.

We integrate advertising platforms, analytics tools, CRM, product data, and revenue data into a unified data model, so you can:

  • See the full customer journey
  • Trust your numbers
  • Run consistent reporting
  • Analyze marketing, product, and revenue together

Your team gets a reliable foundation for analytics, attribution, and campaign optimization.

The problem:

Bad attribution across marketing channels

Google Ads, Meta Ads, GA4, and your CRM all report different conversions.

Last-click attribution hides the real impact of your campaigns, and long customer journeys make tracking even harder.

As your marketing stack grows, attribution becomes less accurate, not more.

Why this hurts

You don’t know which channels really drive revenue
Budget allocation becomes guesswork
You may be scaling the wrong campaigns
CAC, LTV, and ROI are unreliable
Leadership loses trust in marketing numbers
How we help:
bad attribution

We use the data warehouse to build accurate, cross-platform attribution based on your real customer data.

By connecting ad platforms, website data, product usage, CRM, and revenue events, we can:

  • Track the full funnel from click to customer
  • Measure performance across all channels
  • Support multi-touch and custom attribution models
  • Align marketing metrics with real revenue

This allows you to optimize campaigns based on what actually drives growth — not what each platform claims.

The problem:

Cannot send real conversion data back to ad platforms

Ad platforms optimize based on the data they receive, but most subscription business only send basic events like signups or generated leads.

They cannot send real revenue, qualified leads, subscription value, or product activity back to Google Ads, Meta Ads or any other ad platform.

As a result, campaigns are optimized for the wrong conversions.

Why this hurts

Ads optimize for low-quality conversions
Platforms don’t see your real customers
Targeting becomes less effective
Scaling campaigns becomes expensive
ROAS and CAC get worse over time
How we help:
data activation

With a unified data warehouse, we can send accurate conversion and customer data back to advertising platforms.

We make it possible to push CRM conversions, subscription revenue, qualified leads, product events, customer lifetime value back to Google Ads, Meta Ads, and other platforms.

This allows your campaigns to optimize for real business outcomes, not just clicks or form submissions.

The problem:

Poor data documentation and unclear data flows

As your tracking and data pipelines grow, it becomes harder to understand what data is collected, how it is processed, and where it is used.
Missing or outdated documentation makes reporting unreliable and changes risky.

 
Why this hurts

Reports cannot be fully trusted
Fixing tracking issues takes too long
Teams don’t agree on metrics
Data pipelines break without warning
How we help:
documentation

We document your data stack, tracking, and data models, and make sure you always know:

What data is collected and why
How events and conversions are defined
How attribution and reporting are calculated
What data is sent to advertising platforms
How customer journey data is built

Our step-by-step approach

From fragmented data to reliable marketing analytics

Part of the Setup

1. Data audit

We start with a full audit of your current data stack, including analytics, advertising platforms, CRM, product data, and reporting tools.

We identify gaps, tracking issues, attribution limitations, missing integrations, and provide clear recommendations on what needs to be fixed to support reliable reporting and attribution.

Result:

You get a clear plan for building a trustworthy data foundation.
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Part of the setup

2. Tailored setup for your data stack

Every company has a different infrastructure.

We design and implement a Marketing & Growth Data Warehouse tailored to your current tools, data sources, and business model.

We help you complete the missing parts of your modern data stack, without forcing you to replace what already works.

Result:

A scalable data architecture adapted to your company, not a generic template.
Part of the setup

3. Tool agnostic marketing attribution

(in those scenarios when every conversion matters)

Browser restrictions, extensions, ad blockers, and privacy tools are continuously evolving to block known third-party tracking solutions, making client-side tracking increasingly unreliable.

We build custom marketing attribution tracking that relies entirely on your own infrastructure, removing the dependency on third-party tools.

This approach is more resilient to blocking mechanisms and enables you to collect more accurate, consistent data for attribution, reporting, and campaign optimization.

Result:

More reliable tracking, better attribution, and fewer lost conversions.
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Part of the setup

4. Full customer journey data modeling

We bring together all relevant data, from anonymous traffic to customer revenue and product usage, into a unified customer journey view.

We connect data from:

  • Advertising platforms
  • Web analytics
  • CRM and billing systems
  • Product or app databases
  • Email and engagement tools

Then we build data models for:

  • Customer journeys
  • Marketing campaigns
  • Attribution
  • Funnel performance
  • Retention and cohorts
  • Revenue metrics

Result:

You can analyze the complete lifecycle from first click to revenue and retention.
Monthly subscription

5. Data reporting

We prepare your data exactly in the format needed for reporting, so it works seamlessly in your BI platform of choice.

In addition, you get access to our InnerTrends platform, where essential reports like customer journeys, funnels, attribution, and retention are already built for you.

Result:

Less time building reports, more time using insights to drive growth.
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Part of the setup

6. Data activation

Once your data is unified, it should not stay only in reports.

We help you send enriched conversion and customer data back to your marketing and engagement tools.

These can include:

  • Ad platforms(Google Ads, Meta Ads, etc)
  • Marketing Automation
  • Customer success platforms
  • CRMs

Result:

Your campaigns optimize for real business outcomes, not just basic events.
Monthly subscription

7. Data integrity monitoring

Reliable analytics requires reliable data.

We run automated checks to detect tracking issues, missing data, and inconsistencies across sources.

This ensures your reports, attribution, and campaign data remain accurate over time.

Result:

You can trust your numbers and make decisions with confidence.
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Pricing

Simple, transparent pricing

Setup (one-time)

$2,000 – $15,000

Depending on complexity, the number of data sources, missing pipelines, and improvements needed in your current data stack.

Included:

Data stack audit and implementation plan
Data warehouse setup
Integration of marketing platforms
Integration of CRM / billing / product database
Customer journey data model
Attribution data model
Data transformations for reporting & analytics
Data activation setup for ad platforms (Google / Meta / etc.)
Initial data validation and integrity checks

Goal: Build a reliable Marketing & Growth Data Warehouse adapted to your company.

Data processing & maintenance

$500/month

Included:

Daily data processing
Data pipeline monitoring
Data integrity checks
Fixing data issues when they appear
Syncing data to reporting tools (BI / dashboards)
Syncing data to product analytics tools
Syncing data to marketing automation / ad platforms
Conversion data activation (Google Ads, Meta Ads, etc.)
Small adjustments to data models when needed (larger tasks will be priced and solved ticket-based)

Goal: Keep your data accurate, up to date, and usable for reporting, attribution, and campaign optimization.

Let’s talk about your
Marketing and Growth data

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