Datapods
Insights Library

Customer intelligence reports built from real consumer behavior.

Each report is generated from live behavioral data — not surveys, not panels.

Report 01
Datapods ResearchConfidential
Executive Summary
Fig. 1 — Churn Distribution
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01The Switching Economy: Why Customers Leave and Where They Go
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The Switching Economy: Why Customers Leave and Where They Go

A deep dive into churn patterns across your competitive landscape — mapping the triggers, timing, and destinations of customer defection. This report tracks how users research, compare, and ultimately switch between competing products, surfacing the exact moments where brand loyalty breaks down. You'll see which competitor features attract the most attention, which pricing pages get the most repeat visits, and where your product falls out of the consideration set entirely.

Date Published
Q1 2026
Data Sources
4.2M browsing sessions
Coverage
148 competitor domains tracked
Report 02
Datapods ResearchConfidential
Methodology & Scope
Fig. 3 — Channel Attribution
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02The Attribution Gap: Measuring What Actually Drives Purchases
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The Attribution Gap: Measuring What Actually Drives Purchases

Behavioral evidence of which channels truly influence buying decisions, cutting through the noise of last-click attribution. By reconstructing full browsing journeys from first touch to purchase, this report reveals which ad exposures, organic searches, and content interactions actually move users toward conversion — and which ones are simply present at the finish line taking credit. Includes channel-level ROI estimates and cross-device path analysis.

Date Published
Q1 2026
Data Sources
2.8M purchase journeys
Coverage
36 media channels analyzed
Report 03
Datapods ResearchConfidential
Key Findings
Fig. 2 — Conversion Funnel
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03Friction Points: Where Sales Are Lost Before They Begin
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Friction Points: Where Sales Are Lost Before They Begin

Mapping the pre-purchase journey to identify where potential customers drop off — before they ever reach your site. This report captures the full discovery-to-decision pipeline: how users find your category, what questions they ask, which comparison sites they trust, and where friction causes them to abandon. Each friction point is quantified by volume and revenue impact, with actionable recommendations for reducing drop-off at every stage.

Date Published
Q2 2026
Data Sources
3.1M user paths analyzed
Coverage
92 drop-off patterns identified
Report 04
Datapods ResearchConfidential
Segment Analysis
Fig. 4 — Cohort Breakdown
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04Hidden Segments: The High-Value Customers You're Ignoring
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Hidden Segments: The High-Value Customers You're Ignoring

Uncovering overlooked audience segments with outsized purchase intent — the customers your current targeting is missing. Using behavioral clustering on millions of browsing profiles, this report identifies cohorts that your competitors haven't discovered yet: underserved demographics, emerging interest groups, and high-intent users who don't match your current persona definitions. Each segment comes with size estimates, behavioral fingerprints, and recommended acquisition strategies.

Date Published
Q2 2026
Data Sources
5.6M behavioral profiles
Coverage
24 hidden segments uncovered

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