Fintel Analytics blog
Expert perspectives on data analytics, AI agents, internal tools, and business intelligence from the Fintel Analytics team.
22 of 206 posts
Most SaaS and platform businesses have no structured analytics layer between their API logs and their billing systems — and that gap is silently costing them revenue. Here is how to fix it.
Usage-based billing creates complex revenue data that breaks most standard analytics stacks. Here is how to build the data layer that actually works.
SaaS and fintech companies silently lose 3–5% of ARR to revenue leakage every year. Here's how to build the analytics infrastructure that finds and fixes it.
Sales forecasting analytics transforms gut-feel revenue guesses into data-driven predictions. Learn the frameworks, models, and tools that drive forecast accuracy in 2026.
Net revenue management analytics gives businesses the data foundation to protect margins, optimise trade spend, and make smarter pricing decisions. Here is how leading organisations are building this capability in 2026.
Pricing analytics uses data science and machine learning to set prices that maximise revenue without sacrificing volume. This guide shows business leaders exactly how to implement it.
Revenue operations analytics unifies your sales, marketing, and customer success data into a single source of truth — here's how leading businesses are doing it in 2026.
Fintech platforms with partner ecosystems rarely have clean visibility into how revenue is split, earned, and reconciled. Here is how to fix that with a proper data stack.
Revenue-based financing is growing fast — but most RBF platforms are flying blind on portfolio risk, repayment performance, and unit economics. Here is how to fix that.
Subscription analytics gives recurring revenue businesses the visibility to cut churn, grow MRR, and forecast with confidence. Here is how to build it properly.
Most payment facilitators are sitting on a goldmine of merchant data and doing almost nothing with it. Here is how to fix that — and what it is worth when you do.
Webhook events are failing silently — and your dashboards are lying to you because of it. Learn how to build reliable webhook ingestion analytics that protect revenue and power trusted metrics.
Poor authorization rates silently drain revenue from payment businesses. This guide shows exactly how to build the analytics stack to diagnose, monitor, and fix them.
Most crypto exchanges generate enormous volumes of data but operate with surprisingly immature internal analytics. Here's how to fix that — from fee revenue modelling to liquidity dashboards.
Fraud analytics for fintech payments is about more than catching bad transactions — it is about building the data infrastructure that stops your fraud model from killing legitimate revenue.
Most scaling e-commerce brands track ROAS religiously but can't explain why profit shrinks as revenue grows. Here's how to build the analytics stack that fixes that.
Product analytics turns user behaviour data into smarter product decisions. Discover how leading teams use it to reduce churn, prioritise features, and grow revenue in 2026.
Discover how predictive analytics for customer retention is helping global businesses cut churn, increase loyalty, and drive measurable revenue growth in 2026.
Customer lifetime value modelling helps businesses identify their most profitable customers, reduce churn, and allocate budgets more intelligently. Here's how it works in 2026.
Most e-commerce teams know revenue per order but not what the order made after costs. Here is how to build net profit per order in SQL and keep it trustworthy.
Fan-out joins silently inflate dbt metrics in BigQuery — revenue looks higher, churn looks lower, and nobody notices until a stakeholder asks why the numbers don't add up.
Most organisations use less than half their data. A smart dark data strategy can unlock hidden revenue, reduce risk, and sharpen competitive intelligence.
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