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NeoRent: 470+ Product Trials in 3 Months, Shipped in 30 Days

pre-launch

NeoRent: 470+ Product Trials in 3 Months, Shipped in 30 Days

THE CLIENT

UI rebuilt and integrated with backend in under 30 days, then 470+ trials in the first 3 months

NeoRent had a rental agreement SaaS product that needed a market-ready front end and its first real users on a startup clock. Voxturr revamped the full UI in React.JS and integrated it with the backend in under 30 days, running the build and the launch in parallel rather than in sequence. The moment the product was live, hyper-targeted Meta Ads and bulk email and WhatsApp campaigns were already queued, bringing in 470+ product trials within three months for a product no one had tested before.

The Results

470+ Trials on a Product Barely a Month Old

NeoRent went from a rebuild to hundreds of active product trials within three months, on a rental agreement product no one had tested before.

  • 30 Days UI + Launch
  • 470+ Product Trials
  • 3 Mo Timeframe

THE CHALLENGE

Shipping the Product and the Launch on the Same Clock

The product needed a market-ready front end and its first real users, on a startup clock. The UI, the backend integration, and the launch campaigns all had to land within weeks of each other.

Neorent project challenges

THE STRATEGIC SOLUTION

Neorent strategic solution

Tech Stack

  • React.JS
  • Meta Ads
  • ActiveCampaign
  • GupShup

Thirty days doesn't allow sequencing, so the UI rebuild and the backend integration ran in parallel, not one after the other. The moment the product was live, hyper-targeted ads and WhatsApp were already queued to bring in the first trial users.

  • Revamped the full UI and integrated it with the backend in under 30 days.
  • Built the frontend in React.JS with conversion baked into every screen.
  • Ran hyper-targeted Meta Ads to reach tenants and property owners where they scroll.
  • Launched bulk email and WhatsApp campaigns on ActiveCampaign and GupShup.
  • Optimised the trial signup flow continuously based on early funnel data.

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