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Resend real-phone performance pass before launch spike

Test the launch page on real phones before the spike, because brand polish stops mattering the moment the page feels slow in someone else's hand.

uncommon tactic medium budget Conversion Rate Optimization, Brand Trust, Launches Stages: mobile performance, launch page, brand trust, real-device testing

Why this can grow a startup

Launch pages usually get reviewed on fast laptops by the people who built them. That is a bad proxy for reality. Resend called out one of the most expensive launch mistakes in plain language: they knew people would sign up on mobile, but they had not spent enough time testing real-phone performance before the traffic hit. Small bugs can be patched during a launch. Performance problems usually cannot. They force deeper debugging right when the team should be absorbing demand and answering questions. This makes performance a growth concern, not just an engineering concern. A slow launch page burns the very attention the launch was supposed to earn.

Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. My bias is to treat this as a small market test first. Make the audience narrow, make the promise concrete, and let the first real response decide whether it deserves more work. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch one clear growth signal before putting more time or budget behind it.

Action plan

  1. Define one narrow startup segment where resend real-phone performance pass before launch spike can create a measurable lift.
  2. Turn the tactic into one offer, page, campaign, or workflow for the Conversion Rate Optimization and Brand Trust channel.
  3. Use the evidence from resend.com to set the first version of the message, format, and audience.
  4. Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
  5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

Source-backed example

Resend says launch-day complaints centered on landing-page performance, notes that the team had not tested enough on real phones, and says fixing performance in the middle of a launch was far harder than fixing small bugs.

Source: Resend Blog: Lessons learned from growing a 6,338 people waitlist in 7 weeks (resend.com)

GrowthDex source hub: Resend Blog: Lessons learned from growing a 6,338 people waitlist in 7 weeks

Last checked: 2026-06-09T13:08:21.000Z

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Ian Goh has helped grow consumer platforms across Southeast Asia, India, and MENA. His work includes scaling Tiki to 100M+ users, doubling BIGO's MENA revenue in 7 months, and increasing OYO's direct booking share across 6 Southeast Asian markets.

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If you want someone to pressure-test this against your real market, Ian works with founders on growth, market entry, and operator-led distribution.

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