creavoid Service

Marketing Analytics

Maximize marketing ROI with data-driven insights. We help you understand which channels, campaigns, and tactics truly drive results, implement proper attribution, and build analytics frameworks that enable smarter marketing investment decisions. Stop guessing and start optimizing based on real performance data.

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Marketing Analytics - Visualization

Your Benefits

Why you should choose Marketing Analytics from creavoid

Clear Attribution

Understand the true contribution of each marketing channel and touchpoint to conversions and revenue.

Budget Optimization

Allocate marketing spend to the highest-performing channels and campaigns for maximum ROI.

Predictable Growth

Use data models to forecast performance, plan campaigns, and set realistic growth targets.

What We Offer

Comprehensive services for your success

Multi-Touch Attribution Modeling
Marketing Mix Modeling (MMM)
Customer Acquisition Cost Analysis
Lifetime Value (LTV) Calculation
Campaign Performance Dashboards
Channel ROI & ROAS Reporting
Cohort & Retention Analysis
A/B Test Statistical Analysis

How It Works

Our proven 4-step process

1

Marketing Data Audit

We assess your current tracking, data sources, and reporting capabilities to identify gaps and establish a complete view of your marketing data landscape.

2

Attribution Modeling

We implement appropriate attribution models for your business – from last-click to data-driven attribution – ensuring accurate credit assignment across touchpoints.

3

Dashboard & Reporting Framework

We build comprehensive marketing dashboards that unify data from all channels, visualize performance trends, and enable drill-down analysis.

4

Optimization & Insights

We provide ongoing analysis, identify optimization opportunities, and deliver actionable recommendations to continuously improve marketing performance.

Case Studies

How our clients successfully use Marketing Analytics

01

D2C Brand Attribution Overhaul

Implemented multi-touch attribution for a D2C brand spending €500K monthly on ads across 8 channels. Analysis revealed Meta was over-credited while email and organic were under-valued, leading to budget reallocation that improved ROAS by 42%.

02

B2B SaaS Marketing Measurement

Built comprehensive marketing analytics framework for a B2B SaaS company, tracking leads through a 6-month sales cycle. Enabled accurate CAC calculation by channel, revealing LinkedIn drove 3x better quality leads than Google Ads despite higher CPL.

03

Retail Marketing Mix Modeling

Developed marketing mix model for a retailer to understand incrementality across online and offline channels. Model informed a 20% budget shift to high-incrementality channels, driving €1.8M in additional annual revenue with same spend.

Ready for results like these?

Let's discuss your Marketing Analytics project.

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Technologies & Tools

We work with leading platforms and frameworks

Google Analytics 4 & BigQuery
Looker Studio & Tableau
Supermetrics & Funnel.io
HubSpot & Salesforce Analytics
Segment & mParticle
Python & R for Advanced Analysis

Frequently Asked Questions

Everything you need to know about Marketing Analytics

What attribution model should we use?

The best model depends on your sales cycle and customer journey. For simple e-commerce, last-click often works. For B2B with long cycles, linear or position-based models are better. We analyze your specific situation and recommend – or implement data-driven attribution when data volume supports it.

How do you handle data from multiple marketing platforms?

We consolidate data from all your marketing channels – Google Ads, Meta, LinkedIn, email platforms, CRM – into unified dashboards. We handle data normalization, deduplication, and create consistent metrics across platforms for apples-to-apples comparison.

Can you help us calculate customer lifetime value?

Yes, we build LTV models based on your historical data, segmented by acquisition channel, customer type, and other relevant dimensions. Understanding LTV enables smarter CAC decisions and helps identify your most valuable customer segments.

What's the difference between marketing analytics and web analytics?

Web analytics focuses on website behavior and on-site conversions. Marketing analytics encompasses the full customer journey across all channels, including paid media, email, social, and offline touchpoints. We often integrate both for complete visibility.

How often should we review marketing analytics?

We recommend weekly tactical reviews of campaign performance, monthly strategic reviews of channel ROI and trends, and quarterly deep-dives into attribution, LTV, and budget allocation. We set up automated alerts for anomalies requiring immediate attention.

Ready for Marketing Analytics?

Let's achieve your goals together. Schedule a free consultation today.