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Article report sorted by reactions and conversations

Review article performance by negative reactions, conversations triggered, and no-result searches so content work follows actual customer friction.

uncommon tactic free budget Support, SEO, Documentation Stages: docs analytics, search intent, content prioritization, support reporting

Why this can grow a startup

Support content gets political when teams argue from anecdotes. Intercom's Articles report shows which articles triggered conversations, which searches had no results, and which pages drew negative reactions. That gives the docs backlog a harder spine. Instead of rewriting the loudest page or the one a stakeholder remembers, the team can start with the answer that already proved it was failing in public.

Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. For SEO and AI search, I care less about clever keyword tricks and more about clarity. A buyer, crawler, or answer engine should quickly understand who this is for, why it works, what proof backs it, and what page deserves to be cited. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch one clear growth signal before putting more time or budget behind it.

Action plan

  1. Define one narrow startup segment where article report sorted by reactions and conversations can create a measurable lift.
  2. Turn the tactic into one offer, page, campaign, or workflow for the Support and SEO channel.
  3. Use the evidence from intercom.com to set the first version of the message, format, and audience.
  4. Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
  5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

Source-backed example

Intercom's Articles report surfaces article views, reactions, conversations triggered, search keywords with results, and searches with no results.

Source: Intercom Help: Articles report (intercom.com)

GrowthDex source hub: Intercom Help: Articles report

Last checked: 2026-05-30

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Ian Goh has helped grow consumer platforms across Southeast Asia, India, and MENA. His work includes scaling Tiki to 100M+ users, doubling BIGO's MENA revenue in 7 months, and increasing OYO's direct booking share across 6 Southeast Asian markets.

Want help turning this into a growth system?

If you want someone to pressure-test this against your real market, Ian works with founders on growth, market entry, and operator-led distribution.

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