Kaliper
Data engineering · analytics · AI

Turning Your Marketing Data Into AI-Powered Decisions

Data Engineering, Marketing Analytics & AI Services for Growing Companies

For 8+ years, Kaliper has helped 100+ companies build trustworthy data foundations and now use that data to power AI-driven insights, forecasting, and automation.

The call is on Calendly. The audit takes about 4 minutes.

RAW EVENTS
GA4 / GTMCRMAD PLATFORMSAPPCOUNTED, NOT GUESSEDNOWWITH ITS UNCERTAINTY

Calibrated against

Google Analytics 4●Google Tag Manager●Segment●Mixpanel●Amplitude●Looker●Power BI●Fivetran●Google Analytics 4●Google Tag Manager●Segment●Mixpanel●Amplitude●Looker●Power BI●Fivetran●
8 yrs
in practice
100+
client engagements
25+
senior consultants
12+
platforms in the stack

What we build, precisely.

Three practices, one order of operations: collection first, then analysis, then models. Each engagement is scoped as a spec, not a retainer.

01 / DE

Data engineering

Collection you can trust. We write the tracking plan, wire the CDP, and build the pipelines that move data where it earns its keep.

  • Tracking plans
  • Segment & CDP setup
  • ETL & reverse ETL
  • Warehouse pipelines
  • Data governance
  • Platform migrations
  • Tech suite recommendation
  • Data transformation
02 / AN

Analytics & BI

We turn raw data into decisions. Our team builds marketing, product, and web analytics into a single clear picture, backed by BI dashboards your whole team can act on.

  • Marketing attribution
  • Web analytics, GA4
  • Product analytics
  • Looker & Power BI dashboards
  • A/B test measurement
03 / ML

AI & machine learning

Once your data is in order, AI is where the real leverage is. We help you implement the right models for your business, from recommendation engines and demand forecasting to customer segmentation and support chatbots, grounded in the same data discipline we bring to analytics.

  • Demand forecasting
  • Customer segmentation
  • Recommendation systems
  • LLM setups & chatbots

How an engagement runs.

Typical timeline. Scope moves the dates, not the order.

  1. 01weeks 1 to 2

    Audit

    We read your GTM containers, event schemas, and dashboards, then list what is broken and what it costs you.

  2. 02weeks 2 to 4

    Tracking plan

    Every event, property, and destination written down and signed off before anything ships.

  3. 03weeks 4 to 10

    Build

    Pipelines, CDP wiring, dashboards. Your team reviews progress weekly.

  4. 04handover

    You own the stack

    Documentation and training included. We leave you able to run it without us.

Why Kaliper

Why teams choose Kaliper.

A partnership that outlasts the delivery date. The reasons clients bring us the next project too.

CTX

We understand the business first

Before we touch a pipeline we map how your teams actually make decisions. The work is built around that, not around the data alone.

FIT

Solutions built for your problem

No templates. Each engagement is designed around your specific problem, so the architecture answers the question you are actually asking.

SHIP

Small, testable, on schedule

We work in agile increments and ship results you can test early, so you see progress week by week instead of waiting for one big reveal.

COST

Cost-efficiency as a benchmark

Running cost and long-term usability are weighed in every proposal. We build for what a solution costs to keep, not just to launch.

OWN

We stay past handover

Our work does not end at delivery. You get full documentation and post-project support, so your team can keep the stack running without us.

TEAM

Senior people on every project

You work with senior consultants who bring the depth these problems need. No juniors learning on your account.

Case / DE

Unifying online and offline sales for accurate revenue attribution

Revenue attributed across both channels. Credit repair services company.

Read the case study
Case / AN

An analytics strategy reset for a digital therapeutics platform

66% cut in CDP platform cost by trimming tracked events. Health-tech company, digital therapeutics.

Read the case study

Bring one dashboard you don't trust.

Book a 30-minute discovery call. You'll leave knowing why the number is wrong, whether or not we work together.