Insurance Analytics Dashboard

340+ insurers trust our analytics.

You track policies. We track what matters. Claims velocity. Customer drop-off. Risk coverage gaps. Digital journey friction. No hand-holding, no hidden fees.

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340+

Clients Served

9

Years in Business

18

Team Members

3

Countries

What you get.

Real insights. Not reports. Every metric tested where it matters: customer retention, claim settlement speed, Savas LD onboarding conversion.

Insurance Policy Analytics
Policy Comparison Tools

You compare coverage. We show you how customers compare. Which filters they use. Where they abandon. Which Savas LD policy types convert.

  • Heatmap tracking on comparison tables
  • Drop-off analysis by coverage tier
  • KASKO vs liability decision paths
Digital Customer Journey
Digital Customer Journey Analytics

Your app has friction. We find it. Login issues. Form abandonment. Mobile upload failures. Savas LD self-service bottlenecks.

  • Session replay for error events
  • Funnel breakdown by device type
  • Real-time alert on conversion dips
Claims Process Optimization
Claims Process Optimization

Fast settlement matters. We track time-to-first-response. Document upload success rates. Claim status confusion triggers.

  • Average handling time by claim type
  • Customer satisfaction score correlation
  • Support ticket root-cause clustering

Why you choose us.

Expert insights
Expert insights. Zero pressure.

No sales pitch. We explain what your data shows. You decide.

Real case examples
Real case examples.

Baltic insurer reduced KASKO abandonment by 34%. Home fire policy renewals up 22%.

Fast claims settlement
Fast settlement guidance.

We track what slows down claims. Document errors. Missing fields. Communication gaps.

Digital self-service
Self-service expertise.

Savas LD portal optimization. Mobile app flow analysis. Online quote friction removal.

Approach comparison.

Three ways to handle insurance analytics. You pick what fits.

Approach Data Depth Setup Time Best For
Manual Spreadsheet Surface-level Immediate Small agencies under 500 policies
Generic BI Tool Aggregated only 2-3 weeks Multi-line carriers with IT teams
Insurance-Specific Analytics Behavioral + transactional 3-5 days Digital-first insurers (Savas LD model)
Our Approach Journey + claims + risk 1 week (guided) Providers optimizing online conversion

How we work.

The long way is often the short way. We map your entire customer path before we touch a dashboard.

Discovery Call

You tell us your pain points. Slow claim approvals? High quote abandonment? Savas LD portal confusion? We listen. 30 minutes. No deck.

Data Audit

We check what you already collect. Google Analytics events. CRM fields. Policy management system logs. Most companies sit on gold and don't know it.

Tracking Implementation

We add event tags. Form field tracking. Error logging. Mobile app analytics. Takes 3-5 days. Your dev team owns the code. We guide.

Baseline Report

Two weeks of data collection. Then we show you where you stand. Conversion rates. Abandonment triggers. Claim lifecycle duration. No sugarcoating.

Hypothesis Testing

We propose experiments. Simplify KASKO form? Add live chat to claims page? A/B test. Measure. Iterate. Data decides.

Ongoing Optimization

Monthly review calls. New insights. Market shifts. Seasonal trends. We stay on it. You stay ahead.

Real results.

Leading Baltic Insurance Provider

Situation:

Their Savas LD-style portal had 68% mobile abandonment on KASKO quotes. Users dropped at coverage selection. Support calls spiked around vehicle value input.

Action:

We mapped the funnel. Found three friction points: unclear terminology, no pre-fill for known customers, and a broken "back" button on iOS. Fixed all three. Added progress bar.

Result:

Mobile KASKO conversion jumped 34% in six weeks. Call center volume dropped 19%. Customer satisfaction score rose from 7.2 to 8.6.

Regional Property Insurance Network

Situation:

Home fire insurance renewals lagged. Only 61% of customers renewed online. The rest called agents or switched providers. No visibility into why.

Action:

Session replay revealed confusion around updated property values. Customers didn't know if their old coverage still applied. We redesigned the renewal email and added a "Review Your Coverage" dashboard widget.

Result:

Online renewal rate hit 83% within three months. Agent call volume fell 27%. Premium revenue increased 11% from better-matched coverage.

Multi-Line Personal Insurance Carrier

Situation:

Claims settlement took 18 days average. Customer complaints focused on "not knowing what happens next." Document re-submission was common. Trust scores declining.

Action:

We instrumented every claim status transition. Found that 40% of delays came from missing photos and unclear damage descriptions. Built an in-app guided photo upload with real-time validation.

Result:

Average settlement time dropped to 11 days. Document re-submission fell 58%. NPS score climbed from 32 to 54 in one quarter.

Terms you'll hear.

Funnel Drop-Off Rate

Percentage of users who start a process (e.g., KASKO quote) but don't complete it. High drop-off points signal friction.

Session Replay

Video-like playback of individual user sessions. Shows clicks, scrolls, form interactions. Helps diagnose UX issues faster than heat maps.

Event Tracking

Capturing specific user actions (button clicks, form submissions, file uploads) as data points. Foundation of behavioral analytics.

Cohort Analysis

Grouping users by shared characteristics (e.g., all who bought KASKO in March) and tracking their behavior over time. Reveals retention patterns.

Time-to-First-Response (TTFR)

How long customers wait for initial claim acknowledgment. Critical metric for perceived service quality.

Conversion Rate Optimization (CRO)

Systematic process of improving the percentage of visitors who complete a desired action (purchase, form submit, claim file). Data-driven experimentation.

Attribution Model

Framework for assigning credit to marketing touchpoints. Helps understand which channels (email, social, search) drive policy purchases.

Recognized by.

Who we are.

Founded in 2015. Based in Coventry, GB. 18 specialists. We've worked with 340+ insurance providers across 3 countries. Our team includes former claims adjusters, UX researchers, and data engineers. We understand insurance operations—not just dashboards.

Our founder, Oliver, spent seven years optimizing digital onboarding for a regional multi-line carrier. He saw the gap between what generic analytics tools offer and what insurance companies actually need. So he built this.

We're Google Analytics Certified Partners. ISO 27001 certified for information security. Insurance Data Analytics Professionals. We take data privacy seriously—especially when handling policy and claims information.

Read Our Full Story
Coventry Insight Analytics Team

By the numbers.

340+

Insurance Clients

9

Years Experience

94%

Client Retention

24/7

Dashboard Access

Questions answered.

Starts at £2,400/month for implementation + ongoing support. Includes tracking setup, monthly reporting, and quarterly strategy reviews. Custom pricing for enterprise clients with multiple brands or countries. No setup fees. Cancel anytime after first 90 days.
Your website analytics (Google Analytics or similar). Policy management system event logs (we don't need customer PII—just anonymized IDs). CRM data for claim lifecycle tracking. Mobile app analytics if you have one. We sign NDAs and comply with GDPR. Data stays in your infrastructure—we access via read-only API.
First insights within two weeks (baseline report). Actionable recommendations after 30 days of data collection. Measurable conversion improvements typically appear 6-8 weeks after implementing changes. Claims process optimization shows impact within one quarter. The long way is often the short way—we map thoroughly before we optimize.
Yes—if you handle 500+ policies annually and have a digital quote/claims process. Below that threshold, manual tracking is often more cost-effective. We've worked with regional networks, digital-first startups, and multi-line carriers. Company size matters less than your digital maturity.
Absolutely. Self-service portals are our specialty. We track login success rates, policy comparison behavior, online payment friction, document upload failures, and mobile app conversion. If you run a digital-first model like Savas LD (self-service insurance platform), we know the pain points: unclear coverage terminology, complex forms, mobile UX gaps.
Google Analytics shows you *what* happened. We show you *why* and *what to do*. We layer insurance-specific context: policy type, coverage tier, claim status, customer lifetime value. We know which metrics matter for KASKO vs health insurance. We interpret the data through an insurance operations lens—not just web traffic patterns.
Both. You get 24/7 access to a live dashboard (updated hourly). Key metrics: conversion funnels, claim lifecycle stage distribution, mobile vs desktop performance, policy type mix. Monthly PDF reports with insights and recommendations. Quarterly video review calls with our analysts. Dashboard access is standard—no extra cost.
Partially. If your CRM logs offline interactions (call center notes, mailed documents), we can pull that data and correlate it with digital behavior. Example: customer starts a claim online, abandons, calls agent—we track that full journey. Pure offline data (no digital touchpoint) is outside our scope, but we help you see the digital-to-offline handoff points.
We are ISO 27001 certified for information security. All analytics use anonymized customer IDs—no names, emails, or addresses in our systems. Data processing agreements (DPA) signed before we start. All data stored in EU data centers (or UK for GB clients). We comply with GDPR Article 28 (processor obligations). Regular security audits. You remain the data controller—we're the processor.
We collaborate, not compete. Your team knows your business—we know insurance-specific analytics patterns. Common setup: your team handles data infrastructure and BI dashboards; we provide insurance UX optimization insights and run A/B tests. We've trained internal analysts at 40+ companies. Think of us as your insurance analytics consultants, not replacements.
No. Anyone promising "20% conversion increase guaranteed" is selling hype. We show you where the friction is. We recommend fixes based on data. But results depend on your execution speed, market conditions, and product-market fit. What we *do* guarantee: honest insights, tested recommendations, and transparent reporting. No hand-holding, no hidden fees.
Primary markets: UK, Lithuania, Latvia. We've worked with clients in 3 countries total. If your company operates in the EU or UK and has an English-speaking team, we can help. Language support: English (native), basic Lithuanian for Savas LD-style portal terminology. Time zone: GMT/BST—ideal for European insurance providers.
Yes. We design experiments, set statistical significance thresholds, and interpret results. Common tests: form field order, CTA button copy, coverage tier presentation, mobile checkout flow. We use Google Optimize or your existing A/B platform. Minimum traffic: 5,000 visitors/month for reliable results. Typical test duration: 2-4 weeks.
Monthly review calls (60 minutes via video). Quarterly strategy sessions (90 minutes, in-person or video). Ad-hoc support via Slack or email—typical response time under 4 hours during UK business hours. You get a dedicated analyst, not a rotating support team. Same person on every call.
Google Analytics 4 (we're certified partners). Hotjar or Microsoft Clarity for session replay. Your existing CRM/PMS via API. Custom SQL queries for claims lifecycle analysis. Looker Studio or Tableau for dashboards (your preference). No proprietary black-box tools—everything we build, you can maintain if you part ways.
Yes. We integrate with Firebase Analytics (iOS/Android). Track app opens, screen views, button taps, form submissions, crash rates. Cross-device journey tracking: user starts quote on mobile app, finishes on desktop—we connect those sessions. Push notification effectiveness analysis. Mobile-specific UX audits.
Month-to-month contract. No long-term lock-in. Most clients stay 18+ months because they see continuous value. We shift from setup mode to optimization mode: ongoing A/B tests, seasonal trend analysis, new feature launch tracking, competitive benchmarking. You can pause or cancel with 30 days' notice.
We provide anonymized industry benchmarks (aggregated from our client base). Example: "Your KASKO mobile conversion rate is 23%; industry median for similar traffic volume is 19%." We never share client-specific data. Benchmarks help you understand if your performance gap is internal (fixable) or market-wide (structural).
Sweet spot: 2,000–50,000 active policies. Digital-first or hybrid (online + agent) models. Teams of 10–200 employees. Revenue range £500K–£50M annually. We've worked with regional networks, InsurTech startups, and established multi-line carriers. If you're investing in digital customer experience, we're a fit.
Optional add-on: 2-day workshop (£1,800) covering GA4 fundamentals, insurance-specific event tracking, and dashboard interpretation. Recorded sessions available. We've trained marketing teams, product managers, and customer support leads. Goal: make you self-sufficient on basic reporting so you only need us for strategic insights.
Book a discovery call via our contact page. 30 minutes. No pitch deck. We ask about your current analytics setup, top 3 pain points, and digital roadmap. If we're a fit, we send a proposal within 48 hours. Contract signed, kick-off call within one week. First insights delivered within 14 days.
We account for seasonality in our analysis. Year-over-year comparisons. Pre-renewal spike tracking. Holiday period behavior shifts. Home insurance peaks in spring/summer; travel insurance spikes in winter. We help you prepare for high-traffic periods with load testing and funnel optimization ahead of time.
Yes. We've optimized aggregator sites and direct-to-consumer platforms. Key metrics for comparison sites: filter usage, sort behavior, "Get Quote" click-through rates, partner conversion rates, revenue per click. We help you balance user experience with monetization—tested where it matters.
Indirectly, yes. By improving conversion rates and reducing abandonment, you get more policies from the same ad spend. We don't run your ads—but we show you which landing pages, traffic sources, and audience segments convert best. Attribution modeling helps you shift budget to high-ROI channels. Typical CAC reduction: 15-25% over six months.

Ready to start?

Book a 30-minute discovery call. No pitch. Just questions. See if we're a fit.

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