Friction-triggered help article promotion
Trigger the relevant help article from the product right before a known friction step so the answer meets the job while the user is still trying to finish it.
Why this can grow a startup
A good article still gets missed if the user has to leave the task to go hunting for it. Triggered article promotion closes that gap. It moves support content from passive library to active workflow aid, which improves self-serve completion and gives the same page a better chance to collect useful traffic and links over time.
Source-backed example
Intercom's guidance suggests sending a help article before a specific milestone, such as when a customer reaches their third project, so the article arrives at the moment the question is likely to appear.
Source-reported evidence
Source: Intercom Help · Browse Intercom Help tactics
Intercom's example is a triggered article sent when a user reaches their third project
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 27, 2026
When to use it
Use this when Product, Support, Activation is relevant to contextual help, activation, support-led growth and you can run a bounded test with a low 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 Product and Support, using evidence from Intercom Help as context—not as a promised result.
- Record a baseline for: Share of target users completing the product's first-value 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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