Marketing Analytics That Moves the Needle
We implement, fix, and scale analytics systems that turn raw data into revenue decisions — across marketing, product, and growth.
- 8+ Years of Analytics Implementation
- 100+ Clients Served Globally
- 5 Core Analytics Platforms
- 2–6 Weeks Average Implementation Time
Marketing Analytics Tools We Specialize In
We don’t sell tools — we make them work for your specific business goals.
Google Analytics 4
Event-based marketing analytics with ML-powered insights and cross-platform attribution.
- Marketing attribution
- Predictive insights
- Cross-platform
Mixpanel
Behavioral analytics for SaaS — track funnels, retention, and user journeys at the event level.
- Funnel analysis
- Retention
- A/B testing
Amplitude
Deep cohort and product journey analysis to understand what drives engagement and revenue.
- Cohort analysis
- Conversion tracking
- Behavioral insights
Heap
Autocapture every user interaction retroactively — no pre-defined events required.
Key Capabilities
- Auto-tracking
- Retroactive data
- UX insights
Matomo
Privacy-first analytics with full data ownership — self-hosted or cloud.
Key Capabilities
- GDPR compliant
- Privacy-first
- Self-hosted
- Conversion analytics
How We Build Your Analytics Pipeline
From raw events to boardroom-ready decisions — every layer is built to scale.
Collect
- Segment
- Rudderstack
- GTM
Warehouse
- BigQuery
- Snowflake
- Redshift
Transform
- dbt
- Fivetran
- Airbyte
Attribute
- Multi-touch
- MMM
- GA4
Visualize
- Looker
- Tableau
- Metabase
Real Outcomes from Better Analytics
We don’t track vanity metrics. Here’s what clients typically achieve after proper implementation.
↑ 34%Trial-to-Paid Conversion
Improved onboarding funnel visibility for a B2B SaaS — without increasing ad spend.
↓ 40%Wasted CAC
Multi-touch attribution revealed the channels driving the majority of LTV.
3×Faster Decision-Making
Real-time dashboards replaced slow, manual reporting cycles.
90 Days to Data Clarity
Moved from fragmented data to a unified analytics stack.
Marketing Analytics Services We Implement
End-to-end analytics — from strategy to dashboards your team actually uses.
Analytics Strategy
Define KPIs, tools, and architecture aligned with your business model — before implementation begins.
Tracking Plan Design
Create structured event taxonomies to ensure consistent and reliable data across teams.
GA4 Implementation
Full setup, UA migration, custom dimensions, and conversion tracking.
Attribution Modeling
Multi-touch and data-driven attribution tailored to your sales cycle
Data Pipelines
Integrate CRM, billing, and ad platforms into a centralized data warehouse.
Dashboard & Reporting
Build dashboards that answer business questions — not just display numbers.
Common Questions
What is a marketing data strategy?
The beginning of any good marketing data strategy should be a clear definition of your business objectives and a prioritization of customer-focused KPIs, along with an assessment of your existing data sources. At Kaliper, we will guide you to develop a plan which aligns the marketing initiatives that you perform to the metrics that you can measure and which will underpin growth and drive decision making.
How do I synchronise marketing and product data?
Creating proper alignment of marketing data and product data would need a common measurement scheme, similar user identification, and unified reporting. Kaliper collaborates with your teams to fill this gap by prioritizing the key touchpoints throughout the user journey across acquisition, in-product behavior and developing a strategy to enable cross-functional, unified insights without overreliance on siloed reporting.
What are the advantages of structured data collection?
Cleaner insights, faster decision-making, and attribution are the results of structured data collection. It removes noise, minimizes manual reporting and makes your analytics systems more reliable. With Kaliper, companies can answer what to collect, how to collect it and where to keep it, establishing a business-critical, data-driven foundation that is consistent, scalable and actionable.
Why is data tracking a good idea?
Guesswork is what your marketing decisions can become unless you have a proper track you base them on. Data tracking gives insight into what works, what does not, and what can be streamlined. We help you create a tracking plan that will enable an accurate report, analysis of campaign performance, and business impact; therefore, you can successfully scale using trustworthy data.
What can I do to prevent a poor analytics setup?
Poor analytics configurations can usually be explained as a result of baby names, aka unclear intent, inconsistent naming, and documenting them. We can assist you in avoiding these pitfalls by being thorough during the auditing, ensuring that your tracking aligns with your business goals, and by creating a custom strategy that your team will be able to follow. We not only identify what is wrong we also assist you to have a workable system.
How our Data Engineering Services adapt to different business verticals?
Our solutions are built to be industry-agnostic yet highly customizable. Whether you’re in marketing, e-commerce, finance, healthcare, or SaaS, we design data architectures and pipelines that align with your unique data sources, compliance requirements, and business goals, ensuring clean, connected, and analytics-ready data.
Ready to Trust Your Marketing Data?
Let's audit your current setup, fix what's broken, and build an analytics foundation that drives real decisions.