Growth Analytics & Business Intelligence

Turn Your Business Data Into Measurable Growth.

Most businesses don't have a data problem — they have a decision problem. I help turn business data into clear, measurable actions that improve growth.

Helping businesses make confident decisions using data.

What You'll Walk Away With
  • Initial business data review
  • Potential revenue opportunities
  • Key improvement areas
  • Actionable recommendations
  • No obligation
Analytics dashboard composition with revenue chart, funnel, cohort heatmap and KPI cards
Who I Work With
Growing SaaSE-commerceD2CMarketplacesSmall & Medium Businesses
How the free audit works

Four steps. No commitment.

01

Tell me about your business

A short form so I can come prepared.

02

Discovery call

30 minutes to understand your goals & challenges.

03

Data review

I take an initial look at your key metrics.

04

Actionable recommendations

Three concrete next steps you can act on.

5+
Analytics Projects
Millions
of Rows Analyzed
Business-first
Approach
End-to-end
Ownership
ToolkitSQL·Python·Power BI·Statistics·Business-first approach
Common questions I help answer

Helping businesses answer questions like…

Why are sales increasing but profits aren't?

Why are customers leaving?

Which marketing channels actually generate profit?

Where is revenue leaking?

Which products deserve more investment?

Which customers create the highest lifetime value?

Solutions

Business outcomes, not deliverables.

Engagements are scoped around a real business problem — not a tool or report. Every project ends with a recommendation a founder can act on.

Stop Losing Your Best Customers

Churn root-cause analysis, behavioral segmentation and retention strategy — so the customers driving your margin actually stay.

  • Churn drivers
  • Cohort retention
  • Segmentation
  • Win-back plays

Find Hidden Revenue Opportunities

Funnel optimization, pricing analysis, channel ROI and checkout friction — wherever margin is quietly leaking out of the business.

  • Funnel diagnostics
  • Pricing & margin
  • Channel ROI
  • Checkout uplift

Dashboards That Drive Decisions

Executive dashboards built around the decisions you actually make — not vanity charts. Less noise, more signal, a clear next action.

  • Exec KPIs
  • Decision frameworks
  • Single source of truth
  • Self-serve BI
Why work with me

Business-First Analytics

Most dashboards explain what happened. I help businesses understand why it happened, what to do next, and where the biggest opportunities are hiding.

Every insight should lead to a business decision.

Business-first thinking — every analysis ties back to a decision
Executive-friendly communication, not jargon
Recommendations backed by data, not opinion
Focus on measurable ROI
End-to-end ownership, from raw data to recommendation
Not another dashboard. Not another report.
Engagement process

From Data to Better Decisions

01

Discover

Understand business goals, challenges and existing data.

02

Diagnose

Analyze customer behavior, operations and performance.

03

Recommend

Deliver prioritized recommendations based on expected business value.

04

Measure

Track improvements and continuously optimize results.

Try it yourself

Can You Spot the Revenue Leak?

Here are seven weeks of data from a real-feeling ecommerce dashboard. Take a look — what would you say is the biggest business problem?

Mini dashboard · last 7 weeks Live preview
Sessions
142k
−2.1%
Add-to-cart
9.8%
+0.3%
Checkout complete
41%
−31pts
Traffic
Checkout completion↓ trending down
Your call

What's the biggest problem here?

Spotting where to look is half the work. That's what the free audit is for.
Case studies

Consulting engagements, briefly.

Structured the way I'd present them to a founder. Anonymized; full write-ups on request.

Portfolio Case StudyE-commerce · Funnel

Recovering an 18% revenue leak in a Shopify funnel

Business challenge
Conversion rate had quietly slipped 22% over two quarters despite stable traffic. Marketing assumed creative fatigue.
Analysis performed
  • Funnel step decomposition by device & geo
  • Session replay × event triangulation
  • Checkout step abandonment cohorts
Key findings
Mobile checkout drop-off doubled after a shipping calculator change; mid-AOV segment was most affected.
Recommendations
Restored sticky CTA, deferred shipping calc, added Apple Pay above the fold.
Potential business impact
+18%
checkout conversion
+11% revenue
−9% CAC
100%78%56%38%24%
Portfolio Case StudySaaS · Retention

Cutting B2B SaaS churn by uncovering a silent activation gap

Business challenge
Logo churn climbed quarter over quarter. The team blamed pricing and pushed for a discount campaign.
Analysis performed
  • Weekly cohort retention curves
  • Activation event funnel by ICP segment
  • Tenure × feature usage matrix
Key findings
Customers who didn't reach 3 activation events in week 1 churned 4× faster — independent of price.
Recommendations
Re-sequenced onboarding around the 3 highest-leverage events and triggered CS outreach for at-risk cohorts.
Potential business impact
−31%
90-day churn
+14 NRR pts
+22% activation
Portfolio Case StudyMarketplace · LTV

Reallocating marketing spend with channel-level profit attribution

Business challenge
Paid spend was scaling but contribution margin was flat. Channel reports disagreed across platforms.
Analysis performed
  • First-party identity stitching
  • Contribution-margin attribution model
  • Channel-cohort LTV decomposition
Key findings
Two scaled channels delivered high revenue but negative 12-month contribution margin once refunds were factored in.
Recommendations
Capped two channels, reallocated 28% of spend to high-LTV cohorts, set guardrail KPIs.
Potential business impact
+2.3×
blended ROAS
+19% margin
−24% wasted spend
Insights

Notes from the field.

All articles
Funnel 7 min read

How I Found an 18% Revenue Leak in an Ecommerce Funnel

Read article
Dashboards 5 min read

5 Dashboard Mistakes That Mislead Founders

Read article
Marketing 6 min read

Why CAC Keeps Increasing (and what to actually do)

Read article
SaaS 4 min read

The KPI Every SaaS Founder Should Track First

Read article
Cohorts 8 min read

How Customer Cohorts Reveal Hidden Growth Opportunities

Read article
Pricing 6 min read

Pricing Tests That Actually Move Margin

Read article
About

Analytics, framed as business decisions.

DJ
Deepanshu Joshi
Growth Analytics & BI Consultant

Businesses rarely struggle because they lack data. They struggle because turning data into decisions is difficult. That's where I help.

Across e-commerce, SaaS and marketplace work, I keep seeing the same pattern: teams aren't short on dashboards — they're short on clarity. They're drowning in charts but still can't confidently answer why churn is climbing, where margin is leaking, or which channel actually deserves more spend.

My focus is the gap between data and decision. Less about producing another report, more about helping founders and operators understand what their numbers are actually saying — and what to do about it next.

I combine business thinking with SQL, Python, Power BI, and statistical analysis to uncover opportunities hidden in business data.

Toolkit
SQLPythonPower BIExcelPandasNumPyStatisticsBusiness IntelligenceA/B TestingCustomer AnalyticsData VisualizationLooker Studio
FAQ

Questions, answered.

Still unsure? Send a quick note — I read every message.

Yes — most engagements are with Seed–Series B teams where one strong analysis can change the trajectory. I'll be honest about whether you need consulting yet or just better instrumentation first.

It's the norm, not the exception. The first phase usually includes a data audit and lightweight cleanup — enough to make decisions, without a six-month data warehouse project.

Absolutely. I work with Power BI, Looker Studio, Metabase, BigQuery, Postgres, Snowflake, GA4 and most modern stacks. I'd rather sharpen what you have than rebuild what works.

Focused diagnostics: 2–4 weeks. Larger end-to-end engagements: 6–12 weeks. Every project has clear milestones and a written recommendation document.

Async-first (Notion / Linear / Slack) with a weekly working session. You'll always know what's being analyzed, what was found, and what's next.

Most engagements are fixed-scope or retainer based on the business question, not hourly. You'll get a written proposal with deliverables and expected impact before anything starts.

Free data audit

Ready to Discover What's Hiding in Your Data?

Whether you're struggling with churn, inconsistent growth, unclear KPIs, or simply too much data and not enough answers, I'll help identify your biggest opportunities and recommend practical next steps.

30-minute working session Written opportunity summary No sales pressure