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Understanding Analytics in Lawbrokr

Updated over 3 weeks ago

Who This Is For

Marketing teams, intake teams, and firm administrators

What Lawbrokr Analytics Is

Lawbrokr Analytics is the reporting layer that shows how your intake experiences are performing across channels, funnels, and workflows.

Unlike traditional analytics tools that focus on page views or clicks, Lawbrokr Analytics is built around digital intake performance, conversions, and lead quality.

All data shown in Analytics is tied directly to Lawbrokr activity and responses.

Analytics Overview, Reading the Big Picture

The Overview tab gives you a snapshot of overall performance across your account.

Key metrics include:

  • Total Visits, the number of users who entered a Lawbrokr experience

  • Total Responses, the number of completed intake submissions

  • Live Funnels, how many funnels are currently active

  • Live Workflows, how many workflows are deployed

This view is best used to understand trends over time rather than daily fluctuations.

How to Analyze the Overview

  • Compare visits to responses to understand overall conversion performance

  • Look for spikes or drops over time to identify campaign or channel changes

  • Use the date range selector to isolate specific periods

This is your starting point before drilling deeper.

Funnel Level Analytics

The Funnels view allows you to analyze performance at the individual funnel level.

For each funnel, you can see:

  • Total visits

  • Total responses

  • Conversion rate

This helps answer questions like:

  • Which practice areas convert best

  • Which funnels need optimization

  • Where traffic is underperforming

How to Use Funnel Data Effectively

  • Compare funnels within the same practice area

  • Avoid comparing unrelated practice areas directly

  • Look at conversion rate trends over time, not just totals

Funnels are where optimization decisions should start.

Workflow and Step Level Insights

Within each funnel, Lawbrokr tracks how users move through the intake experience.

This allows you to understand:

  • Where users drop off

  • Which questions cause friction

  • How completion rates change over time

While Lawbrokr does not use complex branching logic, step-level data helps you refine question wording, order, and length.

How to Think About Drop Offs

Drop offs are not inherently bad.

They help you:

  • Identify unnecessary questions

  • Spot confusing language

  • Balance qualification with conversion

Optimization is about reducing friction without sacrificing lead quality.

Lead Attribution and Channel Performance

The Lead Attribution section shows where your responses are coming from.

Common sources include:

  • Organic

  • Google

  • Facebook

  • Instagram

This data is powered by Lawbrokr’s attribution tracking and should be used to understand which channels are producing real intake, not just traffic.

How to Use Attribution Data

  • Compare channel conversion quality, not just volume

  • Identify channels driving high traffic but low responses

  • Align ad spend with intake performance

This is especially important for firms running paid campaigns.

Clip and Campaign Performance

For firms using Lawbrokr Clips, Analytics also tracks clip level engagement.

You can see:

  • Total clicks

  • Conversion rate per clip

This helps determine which placements or experiences drive the highest quality responses.

Sorting, Filtering, and Time Ranges

Across Analytics, you can:

  • Sort data from newest to oldest

  • Filter by funnel or source

  • Change date ranges to isolate performance periods

These tools allow you to move from high level trends to specific insights quickly.

Downloading Raw Data

Lawbrokr allows you to download all analytics data as a raw CSV.

This includes:

  • Visits

  • Responses

  • Funnel level performance

  • Attribution data

Raw exports are commonly used for:

  • Internal reporting

  • Agency analysis

  • CRM or BI tools

Exports reflect the filters and date ranges applied at the time of download.

Common Mistakes When Reviewing Analytics

  • Judging performance on small sample sizes

  • Comparing unrelated practice areas

  • Focusing only on traffic instead of responses

  • Ignoring drop-off data

  • Expecting analytics to replace intake review

Analytics should inform decisions, not replace human judgment.

Best Practices for Ongoing Analysis

  • Review Analytics weekly, not daily

  • Optimize one funnel at a time

  • Use conversion rate trends, not single data points

  • Align marketing and intake teams on what success means

Consistent review leads to compounding improvements.

Related Articles

What Is a Good Conversion Rate with Lawbrokr
Tracking Source Attribution with Lawbrokr
How Funnels Work in Lawbrokr
Understanding Qualified Leads and Drop Offs

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