Cohort Analysis (Links)

Cohort analysis asks whether different audience groups respond differently to the same link — and uses separate per-cohort links to find out.

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Definition

Cohort analysis is the comparison of behaviour across defined groups (cohorts) sharing a common characteristic — an acquisition date, a geographic market, a content type, an audience segment. In link management, it is applied by creating separate short links per cohort and comparing their engagement analytics, revealing whether different groups respond differently to the same content or offer.

Unlike some analytics platforms that have built-in cohort analysis modules, link-level cohort analysis is implemented through the link structure itself — the discipline of creating one link per cohort rather than one link for everyone.

Types of Link Cohort Analysis

Audience Segment Cohorts

Send the same content with separate links to different audience segments. Compare CTR, device breakdown and timing per segment. A B2B audience and a B2C audience receiving the same newsletter with different tracked links reveal different engagement patterns — desktop-dominant vs mobile-dominant, morning peaks vs evening peaks, different country distributions.

Time-Period Cohorts

Create a new link for each campaign wave or send period. Comparing a January send's link analytics with a July send's link analytics for the same content type reveals seasonal engagement variation. A monthly newsletter with a new tracked link per issue shows how engagement evolves as the subscriber base grows, churns and matures.

Geographic Cohorts

Separate links per geographic market for the same campaign. UK subscribers receive go.brand.com/offer-uk; US subscribers receive go.brand.com/offer-us; both point to the same (or localised) destination. Comparing their analytics shows which market engages more quickly, on which devices and at what times — informing localisation investment and market-specific send timing.

Channel Cohorts

Separate links per distribution channel — email, SMS, social, partner. All point to the same destination; only the slug identifies the channel. Comparing their analytics provides cross-channel engagement comparison that is more granular than referrer data alone, because SMS and QR Code channels produce no referrer data at all without per-channel link separation.

Implementing Link Cohort Analysis

1. Define the cohorts you want to compare — segments, time periods, markets, channels
2. Create one short link per cohort, all pointing to the same destination (or cohort-appropriate variant)
3. Use a consistent naming convention for slugs: /offer-uk, /offer-us, /offer-de
4. Tag all links with the same campaign tag for aggregate campaign view; the individual per-cohort links provide the segment breakdown
5. Distribute each link to its corresponding cohort only — do not mix cohorts on the same link
6. Compare per-cohort link analytics after a sufficient engagement period

What Cohort Analysis Reveals

• Segment-specific device preference. One cohort clicks predominantly on mobile; another on desktop. This informs whether different content formats or landing page designs are needed per segment.
• Market-specific engagement timing. Different geographic cohorts peak at different hours — informing per-market send timing rather than a single global send time.
• Content type decay rates. Time-period cohort comparison shows whether engagement decays faster or slower across different content types — news-driven content decays faster than evergreen resource links.
• Channel quality comparison. Which channel's cohort has the highest unique-to-total click ratio (engagement quality) and the strongest conversion rate (downstream quality)?

Related Terms

• Link Analytics
• Time to Click
• Campaign Tagging
• Multi-channel Attribution
• A/B Link Testing