Michelin Strategy (create-the-award)
Create an industry award or rating system that incentivizes behavior which drives demand for your core product.
Why this can grow a startup
By creating the standard by which an industry measures quality, you become the trusted authority and default brand. The award creates a self-reinforcing loop: winners promote their status (free marketing for you), aspirants engage with your ecosystem to improve, and consumers follow your recommendations — all of which increases your brand reach and product demand. It works because the value you provide (recognition, credibility) is genuinely useful to recipients, making it non-spammy distribution.
Source-backed example
Michelin (created the Michelin Stars restaurant guide to incentivize people to drive to top restaurants, wearing out tires faster and buying more Michelin tires); modern SaaS equivalents include creating "best of" lists, certification programs, or benchmark reports that position the company as an authority.
Source details
Source: linkedin.com · Browse linkedin.com tactics
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: March 21, 2026
When to use it
Use this when Communities, PR, Partnerships is relevant to 0-100, 100-1K 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 Communities and PR, using evidence from linkedin.com as context—not as a promised result.
- Record a baseline for: Partner-referred users who reach the activation milestone. 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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