We’re building an AI-first marketing tech stack for enterprises. We are on a mission to rethink growth by turning content into conversations. Our core product allows companies to auto-refresh content on growth channels like emails using reinforcement learning, artificial intelligence, and causal inferences. Companies have 10X their speed of experimentation, and have seen stat sig engagement lift with our technology. We built similar software on Twitter and Pinterest, which lifted user growth by 20%.
Neha Mittal is the CEO & Co-founder of just words. She was the head of product for Retention & Growth at Pinterest and at Twitter. She also co-founded CityStructure and was the founding engineer at Sensorflow. She has also held product & engineering roles at the Chan Zuckerberg Initiative and Goldman Sachs.
tldr: We’re building an AI-first marketing tech stack for enterprises. We are on a mission to rethink growth by turning content into conversations. Our core product allows companies to auto-refresh content on growth channels like emails using reinforcement learning, artificial intelligence, and causal inferences. Companies have 10X their speed of experimentation, and have seen stat sig engagement lift with our technology.
❌ the problem
1. Traditional A/B testing is slow. It can take 3-6 months to run one test because of organizational decision-making and lack of ML infrastructure.
2. Content and copy selection is based on vibes.
3. Prioritization of the biggest opportunities is decided by the loudest voice in the room.
✨ our solution
1. Enrich CRM with ML powered personalization
2. Auto-refresh content on the fly. Auto-tune underperforming content with newly generated dynamic content in real time
3. Use insights from infinite testing to predict the next best action.
🙏 asks
1. Check out justwords.ai and book a demo for your use case (email, sms, push, landing page titles).
2. Connect us to your growth & marketing teams. Book a 30 min slot with us or drop us an email at founders@justwords.ai.
When we were heading Growth at Twitter, we saw the power of copy changes. When we tweaked a push notification from “Elon tweeted” to “Elon just tweeted”, we gained 800K additional users. We never underestimated the power of copy since that day. The company funded it as a big investment in the difficult years when Twitter’s growth was tanking. However, each change would take 3-6 months to pick, test, approve, and ship. We also didn’t know how to use those learnings systematically to prioritize the next copy change. We started building internal tools to automate this and gained 20% additional user growth. We stumbled upon similar problems and “vision docs” at Pinterest. We knew we were staring at money on the table. We quit our jobs to build just words.
The future of content is not an AI monologue. It is very much a dialogue between companies and their users. They need to meet their users where they are.Until now, there was no reason to build infrastructure to manage, rank, and compare 1000s of copy variants. Why? Because we were bottlenecked by the human effort required in writing copy. In the new AI-powered world, businesses will need infrastructure to manage, and continuously test infinite copy variations across users and products. A copy-ranking infrastructure will be table stakes for any business to survive. It will be powered by just words**. **