Substack endorsement blurbs on the welcome page
Move creator praise onto the welcome page so a first-time visitor sees who already trusts the publication before deciding whether to subscribe.
Why this can grow a startup
A newsletter welcome page often wastes the highest-intent visit on a generic hero image and one sentence of self-description. Substack lets publishers add recommendation blurbs from other creators directly onto that page. That changes the trust surface from self-assertion to borrowed proof. A new visitor can see why other writers recommend the publication before they have read enough issues to decide alone.
Source-backed example
Substack says publications that have recommendations enabled can add up to three endorsement blurbs from other recommending creators to the Welcome page shown to new visitors.
Source-reported evidence
Source: Substack Support: How do I add an endorsement to my Substack publication?
Substack lets publishers add up to 3 endorsement blurbs to the Welcome page.
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.
When to use it
Use this when Substack, Brand, Conversion is relevant to welcome page, social proof, creator trust 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 Substack and Brand, using evidence from Substack Support: How do I add an endorsement to my Substack publication? as context—not as a promised result.
- Record a baseline for: Target users who complete the tactic’s 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.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
Explore the context
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Apply this with an operator
Build creator and community systems around real incentives, trust, and repeat participation.