A modern workflow for lifecycle marketing
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.
How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)
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.
What is your long-term vision? If you truly succeed, what will be different about the world?
Today, lifecycle marketing is built on manual effort — copywriters brainstorming variants, data scientists running A/B tests, and marketers trying to make sense of disconnected dashboards. Every campaign is a one-off experiment.
In the world we’re building, AI-marketers will handle this entire loop — strategy, creation, optimization, and learning — with humans acting as orchestrators, not operators.
- Campaigns will self-evolve: AI agents will detect new opportunities, write and test messages, measure outcomes, and continuously improve.
- Brands will move from batch campaigns to living systems — always-on, hyper-personalized, cross-channel journeys that adapt in real time.
- Every marketer, no matter their company size, will have access to enterprise-level intelligence — a strategist, a creative, an optimizer, and a data scientist — all in one AI team.
The world will shift from “humans using tools” to humans teaming with AI agents.
And in doing so, we’ll make personalization not just scalable, but truly human again — every message relevant, every experience intelligent, every brand empathetic at scale.
