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.
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.
Source-backed example
Intercom's Articles report surfaces article views, reactions, conversations triggered, search keywords with results, and searches with no results.
Source-reported evidence
Source: Intercom Help: Articles report · Browse Intercom Help: Articles report tactics
Intercom updates the Articles report daily and includes searches with no results, conversations triggered, and negative reactions.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
Source discovered: May 30, 2026
When to use it
Use this when Support, SEO, Documentation is relevant to docs analytics, search intent, content prioritization and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to Support and SEO, using evidence from Intercom Help: Articles report as context—not as a promised result.
- Record a baseline for: Qualified search visitors who complete the intended next action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
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