Customer Journey Analysis with Journey Explorer
Journey Explorer is a customer journey analysis feature within AttributeIQ that visualises the sequence of website interactions leading to a conversion or closed-won deal. It captures the full digital footprint, including the pages viewed, channels involved, and content interactions that shaped the buyer’s path from initial discovery to final action.
What a customer journey looks like
4 pages
14 days
Organic / Google
How Teams Use AttributeIQ to Analyse Customer Journeys
Journey Explorer organises customer journey analysis around three operational questions that help marketing teams understand buying behaviour before deciding where to invest next.
1. Which channels and content contribute to conversions?
- First-touch acquisition: Identify where buyers first discovered your company, including organic search, paid campaigns, referral sources, and other acquisition channels.
- Content engagement: See which blog posts, case studies, product pages, and resources buyers interacted with before converting.
- High-intent behaviour: Identify pages that appear repeatedly in conversion journeys, such as pricing pages, product documentation, or comparison pages.
2. How long is our actual buying cycle, and how many touchpoints does it take?
Static attribution models often obscure the true complexity of B2B sales cycles. The top-level Customer Journey KPIs provide macro-level insights across your selected reporting period:
Total Conversions
1,247
Avg Touchpoints
3.8
Multi‑Step Journeys
843 of 1,247
Longest Journey
47 days
Metric
What It Measures
Why It Matters for Journey Analysis
Total Conversions
The total number of conversion events recorded within the selected reporting period.
Establishes the baseline volume of customer journeys included in your analysis and provides context for other journey metrics.
Avg Touchpoints
The average number of website interactions completed before a buyer converts.
Helps teams understand how much research buyers typically complete before converting and whether journeys are becoming more complex over time.
Multi-Step Journeys
The volume of conversions where buyers interacted with multiple pages before converting, shown as X of Y total.
Shows how often conversions involve active research across multiple pages rather than a single interaction before taking action.
Longest Journey
The maximum elapsed time between the first recorded interaction and the conversion event.
Reveals the upper range of your customer buying cycle and highlights how long prospects may take to move from discovery to conversion.
3. How is buyer behavior changing over time?
Journey Explorer allows you to analyse customer journey data across different time periods. Whether comparing the last 28 days with the previous period or analysing longer reporting windows, every KPI and buyer journey is recalculated using the selected date range.
Trend indicators provide immediate context for changes between reporting periods. Positive movement is shown with an upward percentage change, while declines are highlighted separately, allowing marketing teams to distinguish normal fluctuations from meaningful changes in buyer behaviour.
Total Conversions
Last 28 days
147
↑ 31%Previous 28 days
112
Avg Touchpoints
Last 28 days
3.4
↑ 17%Previous 28 days
2.9
Multi-Step Journeys
Last 28 days
89 of 147
↑ 46%Previous 28 days
61 of 112
Longest Journey
Last 28 days
42 days
↑ 11%Previous 28 days
38 days
Inspecting an Individual Buyer’s Journey
For sales teams reviewing opportunities and marketing teams auditing closed deals, you can click into any individual converted buyer to see their complete timeline. This view unifies every marketing touchpoint with CRM deal milestones, from first interaction through closed deal, in one sequence.
Exploring Customer Journey Data with Advanced Filters
Journey Explorer includes built-in filters for narrowing the customer journeys included in your analysis. Filters are applied before reports are generated, so the KPI summary, journey list, and timeline update together to reflect only the matching buyer journeys.
Journey Filter
Purpose
Typical Analysis
Page URL
Limits results to buyer journeys that include a specific page or group of pages. Supports both partial URL matching and exact page paths.
Filter journeys containing /blog to analyse how educational content contributes to conversions, or select an exact URL to evaluate the influence of a specific landing page.
Touchpoints
Filters customer journeys based on the minimum number of recorded page interactions before the conversion event.
Use ≥ 3 touchpoints to analyse buyers who completed a longer research journey before converting.
Journey Duration
Filters journeys by the elapsed time between the first recorded website visit and the conversion event.
Use ≥ 7 days to identify extended buying cycles and understand which content supports longer consideration periods.
Sharing Customer Journey Insights Across Marketing and Revenue Teams
Journey Explorer allows teams to export customer journey data into Excel for attribution analysis, sales enablement, and revenue reporting.
The Excel export contains two sheets:
- Summary: Contains the reporting period, active filters, total journey count, and aggregate Journey Explorer KPI metrics for the selected data set.
- Detailed Journeys: Provides a row-by-row breakdown of individual buyer journeys, including visitor identifier, conversion event, conversion date, and the complete page sequence.
Key Takeaways: Getting the Most Out of AttributeIQ’s Journey Explorer
- Audit individual deals: Click into any converted buyer to see their complete timeline, from first touchpoint through closed deal, unified with CRM milestones for sales enablement and deal auditing.
- Benchmark your buying cycle: Use Avg Touchpoints and Longest Journey to understand how many interactions and how much time buyers typically need before converting.
- Isolate specific segments: Filter journeys by page URL, touchpoint count, or duration to analyse how a specific piece of content or a longer research path correlates with conversion outcomes.