Custom-domain gate for private help-center articles
Treat private help articles as a real distribution surface only after they live on a custom domain that supports audience targeting.
Why this can grow a startup
A support page can only build trust if the right people can reach it and the wrong people cannot. Custom-domain audience targeting turns private help content into something success, sales, and support can share confidently. Without that gate, private docs stay awkward to distribute, which means teams fall back to ad hoc PDFs, screenshots, and one-off replies that never compound.
Source-backed example
Intercom says you need a custom domain to enable audience targeting when you want to keep certain Help Center articles private.
Source-reported evidence
Source: Intercom Help · Browse Intercom Help tactics
Intercom requires a custom domain for private-article audience targeting
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 Support, Brand, Website is relevant to brand trust, customer success, private docs and you can run a bounded test with a medium 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 Brand, using evidence from Intercom Help as context—not as a promised result.
- Record a baseline for: Users who resolve the issue and complete the next useful 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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