JAHNAVIMAHINDRAKAR

ZENX

Go-to-Market for a Crypto Hedge Fund & Trading Platform Launch

Year2025
RoleMarketing & Business Development Intern
StatusCompleted

ZenX built a crypto hedge fund and trading platform and was opening it to clients for the first time, with a fixed six-week runway to launch from the day I joined the marketing side and an initial onboarding target of around 150 users in the first month.

6weeks from joining to client-facing launch
80complaint and review posts analysed across 6 competitor platforms
55%of complaints centered on communication failures, under 20% on returns
52%pilot open rate versus a ~30% baseline from prior generic emails
ZENX

I joined about six weeks before the platform's planned client-facing launch. The team's working assumption was the standard crypto playbook: lead with fast execution, secure custody, and strong returns.

Crypto as a category has a specific, recent trust problem. Rather than argue that from instinct, I needed evidence fast, inside the six-week window, that the standard messaging wasn't the right lever.

I reviewed roughly 80 pieces of public complaint content across Reddit threads, Twitter/X discussion, and review-site posts covering 6 competitor platforms, over about 10 days. Close to 45 of those 80 (roughly 55%) centered on communication failures: "support went quiet," "didn't understand what was happening with my money." Performance and returns complaints made up under 20%. That reframed the brief: the gap wasn't a better product feature, it was transparency during the moments competitors were going quiet. Working with the product lead, that finding shaped three offerings: a detailed onboarding and education layer, a proactive communication tier during high-volatility periods, and a simplified reporting view.

The brand framework built around "we tell you what's happening, especially when it's uncomfortable" was tested first in an onboarding email sequence sent to a pilot group of 40 early sign-ups, roughly 10 days before the wider launch. Open rates on that sequence ran around 52%, noticeably above the roughly 30% ZenX's earlier, more generic announcement emails had achieved. That pilot result was the evidence leadership needed: the framework was adopted for the full launch onboarding copy and the initial FAQ content, so every first touch a new client had with the platform carried the same transparency-first message.

This was as much a client-acquisition project as a brand one. The messaging was built to move a skeptical, high-scrutiny buyer from doubt to a funded account, supporting the team's first-month target of roughly 150 onboarded clients. Positioning around trust and proactive communication gave the sales side something concrete to promise, and the onboarding sequence turned that promise into the first product experience new clients actually had.

(Six weeks, end to end)

  1. 01Complaint mining~80 posts across 6 competitor platforms, 10 days
  2. 02Reframed brieftransparency, not returns, as the launch lever
  3. 033 offerings shapededucation layer, volatility comms tier, simple reporting
  4. 04Pilot sequence40 early sign-ups, 10 days before launch
  5. 05Full launchframework adopted for onboarding and FAQ, ~150-client target
~80 competitor complaints, by root cause
Communication failures
~55%
Everything else
~25%
Returns and performance
<20%
Onboarding email open rate
Transparency-first pilot sequence
~52%
Prior generic announcement emails
~30%
  • Reviewed ~80 complaint and review posts across 6 competitor platforms in 10 days
  • Found ~55% of complaints centered on communication failures versus under 20% on returns or performance
  • Delivered 3 client-facing offerings built around transparency rather than returns or speed
  • Pilot onboarding sequence achieved a ~52% open rate versus a ~30% baseline from prior generic messaging
  • Framework adopted for full launch onboarding copy and initial FAQ content, supporting the first-month target of roughly 150 onboarded clients

This was the first project where I had to build a research case fast enough to influence a decision before a six-week window closed. I learned to prioritize a smaller number of high-signal sources over a broader, shallower sweep.

( Next Project )AMBER