AI-Powered Media Intelligence: The Next Frontier for Enterprise GTM

And what we were seeing was that our tier 5 accounts, which were our two to five thousand dollar ARR deals, had a very, very high rate of turn. And then our tier 1 with which were 30k plus, we had, you know, best in class retention around those. So, um, the problem that we've been working to solve here at Handraise is, how do we build a product that is well-positioned for those enterprise accounts, and how do we sell to those enterprise accounts day one and build something that's valuable enough where we can demand a, you know, or command like, you know, 30k plus check from those types of companies.
The core reason, you know, I think, what we're seeing, um, you know, in our industry is, you know, when they look at, you know, the B2B tech space and they have to analyze the competitive landscape, most people don't have the ability to, you know, ingest and parse and distill all that information. So, you know, we're giving them that ability with the AI.
Matt, I think I was the first chat GPT to exist, because we were just going back and forth with each other on it.
- Handraise's core value proposition is to provide an always-on media intelligence platform that tracks what brands, competitors, and industry topics are being picked up in the news globally, leveraging AI for analysis.
- The company uses AI to analyze news data, creating 'narrative clusters' that provide a high-level view of how the world is talking about a brand and the impact of those narratives over time.
- Handraise's AI technology is patented and aims to simplify the complex process of media intelligence, which often involves manually sifting through vast amounts of data.
- Matt Eisenberg and AJ Bruno have a long-standing professional relationship, having worked together at Meltwater and later co-founding Trendkite, a company that was sold for hundreds of millions of dollars.
- The challenge Handraise is addressing is the need for enterprise-level media intelligence that can be actioned quickly, as traditional methods often require significant manual data export and analysis.
- A key learning from Trendkite was the high churn rate among smaller clients and the importance of focusing on larger enterprise clients with higher lifetime value.
- The rapid advancements in AI, particularly with tools like ChatGPT becoming mainstream, presents an opportunity to solve previously intractable media intelligence problems.
- Handraise is focused on building a product that can be adopted by enterprise clients from day one, demanding a significant price point by demonstrating immediate value and sophisticated AI-driven insights.
- $1.5 million Series A round (For Trendkite at a $4.7 million post-money valuation in 2012.)
- $6.4 million raised total (For Handraise, with a recent shift to revenue generation.)
- $2,000-$5,000 ARR deals initially (For Trendkite, growing to $10,000-$12,000 in the second year, and $12,000-$15,000 by exit.)
- $25,000 ARR (Average ARR for Trendkite deals around the time of their exit.)
RevBots.ai View:
- AI Sprinkler stage: Handraise exemplifies bolting AI onto media intelligence without full transformation.
- SaaS Hoarder stage: Enterprises often manually sift through data, needing integrated AI solutions.
- ARM stage: Future potential lies in AI orchestration for seamless media intelligence insights.
- Tab Hopper stage: Founders manually tracking brand perception can benefit from AI-driven tools.
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