Why to leave revenue on the table. Your subscribers are telling you everything.
We analysis your subscription data — billing cycles, login patterns, payment history — fit it into a proven data model, and hand you a clear action plan to recover churn, boost renewals, and forecast the next 90 days of revenue. If you like what we show you, we build it for you.
30%Reduction in involuntary churn
3×Reactivation vs. full cancellation
90-dayAccurate revenue forecasts
Trust the numbers before you trust the model.
Category — Database-Native Subscription Intelligence
Trustworthy subscription analytics, native to your Database — starting with data quality. We fix the inputs the dashboards don't, then layer renewal risk, winback and revenue forecasts on data Finance, CS and RevOps will actually agree on.
6×
Faster to deploy
Weeks with prebuilt accelerators vs. ~6 quarters of internal build.
30%
Less involuntary churn
Across deployed media & SaaS reference accounts.
90d
MRR/ARR forecast
Cohort-based projections the finance team will sign off.
0
Data leaves the lakehouse
Your governance, your security, your compute, your SQL.
The problem we solve
Broken Inputs → Broken Outputs
Mid-market and enterprise subscription businesses run renewal, churn and revenue analytics on broken data. Strip duplicates, plan-change leakage, currency mismatches, refund handling errors and CRM mismatches mean MRR, churn rate and renewal forecasts are quietly wrong.
Existing tools — ChartMogul, Baremetrics, ChurnZero, Gainsight — assume clean data. They do not fix it. The result is dashboards no one trusts, churn predictions teams can't act on, and Finance, CS and RevOps arguing over whose number is right.
→ Raw Ingest / Sub_Events
Fail: 4
Pass: 2
stripe.invoice.duplicate · cus_8821
plan_change · MRR drift +$148
currency mismatch · EUR≠USD missing
refund posted twice · 2026-04-11
crm.account ⇄ billing.customer match
contracted_mrr ⇄ stripe.mrr reconcile
Pain Triggers
Data frustration signals — what buyers tell us.
The exact phrases we hear in discovery calls — the moments that tell us a team is ready to act.
Speed
Our BI team takes 2 weeks to answer a churn question.
Trust
We don't trust our dashboard numbers.
Visibility
We're losing customers and don't know why until it's too late.
Silos
We have data in 3 places and no one can combine it.
Introducing Conversational Data Intelligence
A Semantic Layer That Lets Your Business Talk to Its Own Data
We built a self-hosted solution that sits on top of your existing data infrastructure — Databricks, Snowflake, BigQuery, Postgres, or on-prem — and turns your organisational data into something your teams can actually have a conversation with.
No new database
No data migration
No vendor lock-in
Just answers — in plain language, in real time, from the data you already own.
How It Works
Three pillars. One seamless experience.
A complete decision-intelligence layer that connects, understands, and governs your data.
Knowledge Bases
Your data, semantically organised
Connect any source without migration
Define metrics & column descriptions
Pre-aggregate on a schedule — not on demand
Data never leaves your infrastructure
Conversational AI
Questions in plain English, answers in real data
Users type questions naturally
AI resolves context, selects knowledge base
Optimised SQL runs behind the scenes
No hallucination — only validated results
Governance & Trust Scores
Know which data to trust
Automated data quality tests per knowledge base
Trust score threshold — low quality = not used
Role-based access & row-level restrictions
Full audit trail on every query
Six capabilities proven on live subscriptions
Winback: Near-Cancellation Detection
Renewal Risk Scoring
Failed Payment Dunning
Plan Mismatch → Upsell / Downgrade
Pause-Instead-of-Cancel Flow
Cohort Revenue Forecasting
Built for enterprises tired of being locked in.
See how our decision intelligence layer stacks up against traditional BI tools.
Capability
Decision Intelligence
Solution
Traditional BI
Works across multiple platforms
Data stays in your environment
Natural language querying
Pre-aggregated — cost efficient
Governance & trust scoring
Self-hosted deployment
This works for any subscription business.
Whether you sell digital content, insurance, SaaS, cleaning contracts, or training licenses, our model works for your business. You don't need to identify the issue; we'll uncover the opportunities in your data.
Where We Deploy
Industries where we've deployed this
Production-grade subscription intelligence — battle-tested across sectors with very different data realities.
Digital Media & Publishing
E-Learning & EdTech
Healthcare & Pharma
Fintech & Insurance
Proven outcomes across clients
Media / Publishing
Involuntary churn reduced by 30%
Real-time cancellation detection + personalised save journeys deployed across 6 customer segments.
E-Learning Platform
Seat utilisation visibility for enterprise accounts
Quarterly reports revealed 23% of purchased seats unused — surfaced as upsell and retention signal.
Subscription SaaS
90-day MRR / ARR forecast accuracy achieved
Cohort-based revenue model used by finance team for scenario planning and downside projections.
Renewal Risk Programme
High-risk accounts flagged 30 days before charge
CRM-integrated risk scores combining login frequency, billing cycle, and payment history.
Built by Practitioners, For Practitioners
8 Years of Data Engineering. 80+ Specialists. 12+ Countries.
8
Years of Data Engineering
80+
Specialists
12+
Countries
Complere was built by data engineers who spent years inside enterprise data teams — watching organisations spend millions on platforms and still struggle to answer basic business questions.
This solution is not a product we built to sell. It is an implementation we do with you — connecting to your infrastructure, learning your data model, and building knowledge bases that reflect how your organisation actually thinks.
We have delivered data solutions across healthcare, fintech, pharma, and e-commerce — in organisations running Databricks, Snowflake, BigQuery, Azure, and AWS.
Stacks We Master
Databricks
Snowflake
BigQuery
Azure
AWS
The Long Game
Today, Knowledge Bases. Tomorrow, One Universal Semantic Layer for Your Organisation.
Most organisations define the same business metric differently across five different teams. Revenue means one thing to finance, another to sales, and something else entirely to the product team.
We start by helping you build knowledge bases — department by department, use case by use case. Over time, we surface where definitions conflict, where data means different things to different people, and where a unified semantic layer can be established.
The end goal is one consistent definition of every business concept across your entire organisation — so no matter who asks a question, they get the same answer.
Today — 5 teams, 5 definitions
Finance
Revenue = Bookings
Sales
Revenue = Closed Won
Product
Revenue = Activated MRR
Ops
Revenue = Invoiced
BI
Revenue = Recognised
Tomorrow — one definition
Revenue
Agreed by every team. Every dashboard. Every answer.
“That is what enterprise data maturity actually looks like.”
Our Engagement Model — Three Steps
Transform your raw subscription data into a clear, board-ready action plan in three simple, impactful steps.
You share the data
Products, billing cycles, login activity, payment history, renewals — any format
We run the model
Our subscription data model scores risk, flags opportunity, and maps revenue gaps
You see the roadmap
Concrete improvements — auto-renewal lift, churn recovery actions, forecast dashboards
Pricing Model
Pricing that scales with value, not seats.
Implementation-based, not per-seat.
We deploy on your infrastructure, you bring your model and compute. Our fee is for implementation and ongoing maintenance.
No per-seat charges
No usage fees
No hidden costs
Start here — no commitment
Bring your data. We'll show you what you're leaving on the table.
Discovery → quantified roadmap → built on your Databricks. Weeks, not quarters.
Book a Discovery SessionTrusted By
Complere Infosystem is a multinational technology support company that serves as the trusted technology partner for our clients. We are working with some of the most advanced and independent tech companies in the world.
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