Mike Cotoia
Analyst · Jason Kreyer with Craig-Hallum
Great Cal. This is Mike. I'm going to focus on the AI capabilities with TechTarget right now because we've been working with generative AI capabilities and road map for the last year plus, so I really want to focus on that. And I see there's really four areas that we see the benefits of generative AI in creating measurable impact on the business. The first side, I'd say, would be on our product side. In Q4, we launched our IntentMail AI, which is under our Personalize Assist product suite. And what that does is hyper-personalize and auto-generate e-mails or sales reps to leverage for the outreach, sales reps who work for our customers. So what we're doing in that, it leverages AI to blend TechTarget's prospect level, purchase intent insights and behavior, along with what we call recent product aligned customer information, to personalize our reps' outreach. And what this does, it increases response time, reduces the time to create the e-mails. And as part of that product suite, we also have different entry points or points of interest at the individual prospect level, so a rep can build a cadence that has multiple entry points to engage with a prospect that he or she is targeting. We've seen good adoption in terms of reps leveraging that, reducing their time to create e-mails and leveraging the first-party prospect-level intelligence. We've also seen internally leveraging across our internal functions within TechTarget. We have a content marketing department whose goal is to help promote customers' content to our audience and to their prospects. And everything that we do is 100% indexed by topic, by content, we rate the performance, the promotions. So what we've done on that is we've built a model that now instead of hiring more junior copywriters, we're taking on more experienced copywriters, help train the models to help do the promotion and subject lines for the white paper and webinar assets that we want to promote to our customers. So we've taken that. We've seen success on that. And now we're evaluating and rolling out gen AI for internal procedures and processes across four or five other different functional areas. I think in terms of member and audience, and clearly better user experience for our members who come to our sites. We've built a private LLM driven out of our own content and first-party data, which is all behind the firewalls, to provide what I would call a micro experience, which will be driven by prompt intelligence. So when a user or a member comes to our sites, we can then prompt them to find out what other information that would be relevant for them, for their research, and then guide them to our knowledge base of content, whether it's editorial content, vendor content, analyst written content, webinar content, to make sure it's a better user experience. And as we create a better user experience for our members, we also gain relevant first-party purchase-intent signals. And then I would say, whenever there's a disruption or an evolution in the market, that benefits TechTarget quite well. We're celebrating our 25th anniversary we came into the business. We have storage. This big virtualization became a big mover, cloud, now AI. And if you take a look at the content that we produce, we have 1,000 number one rankings around the topic of generative AI. And vendors and customers need to cut through the noise because there's a lot of noise on how to leverage it, what are the regulatory concerns, how does it work in enterprise tech, it's been beneficial and a driver for our TechTarget business. So those are the four areas I would say that we implement it and continue to implement and evolve around the business.