Co-marketing with complementary tools
Partner with non-competing products that serve the same audience for joint webinars, shared case studies, and cross-promotions that give both sides free access to each other's users.
Why this can grow a startup
Both products promote each other to existing audiences that already trust them, creating free cross-pollination. It works especially well when both products solve adjacent problems for the same ICP. A joint webinar or co-authored case study carries double the credibility of solo content. At early stage, it's one of the few ways to borrow a large audience without paying for ads or influencers.
Source-backed example
HubSpot (scaled co-marketing partnerships to 500K+ graduates), multiple SaaS founders on r/SaaS report this as an underrated zero-cost channel.
Source-reported evidence
Source: founderpath.com · Browse founderpath.com tactics
500K+ graduates)
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: March 19, 2026
When to use it
Use this when 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 Partnerships, using evidence from founderpath.com as context—not as a promised result.
- Record a baseline for: Share of partner-referred attendees who complete the intended next step. 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.
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Apply this with an operator
Choose the first market, local proof, partners, and distribution sequence with operator context.
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