A research powerhouse flying blind on its own website
Parks Associates has spent decades publishing the definitive market research on IoT, smart home, and connected consumer technology. Their reports move the industry. But when it came to monetizing the web traffic those reports attracted, the team was working almost entirely in the dark.
The person managing outreach for the energy vertical was running a 377-contact list through ACT — a legacy CRM that offered no click tracking, no engagement signals, and no way to understand which specific reports or topics had drawn a prospect to the site. Every outreach email was built manually.
The chatbot on the site had a similar problem. It was answering visitors' questions, but with language that closed doors rather than opened them — and no mechanism to capture who the visitor was or what they actually needed.
From anonymous traffic to named prospects with context
MarketBetter's Signals feature was the first unlock — identifying every company visiting the Parks Associates website, with individual-level visitor data, pages viewed, visit frequency, and referral source all in a single dashboard. Almost immediately, the team could see something they hadn't expected: a significant stream of ChatGPT referrals, meaning AI-driven discovery was already sending research buyers to their site.
For outreach, the impact was immediate. Instead of cold-emailing a segment based on job title, a rep could reach out to someone who had just spent fifteen minutes on a specific report — and say exactly that. The personalization engine goes further: upload a list of target accounts and the AI analyzes each company's filings, extracts pain points and product-fit signals, and generates draft outreach tailored to that specific buyer.
“I used to build every outreach email by hand in ACT. Now I know which report someone read before I write the first line.”
The chatbot was rebuilt around positive engagement — replacing deflecting language with clear next steps, direct contact options, and calls to action, turning an FAQ deflector into a lead-capture layer. A 7-day automatic content refresh keeps the chatbot and site intelligence current as new reports publish, eliminating the manual retraining cycle.
For the internal team, a Microsoft Teams AI assistant surfaces answers from Parks Associates' own research library — letting reps and researchers pull relevant report sections and prospect-specific talking points without leaving their workflow.
Intent data that changes the first conversation
The most immediate shift was in outreach quality. With real-time visitor identification, the SDR team moved from spray-and-pray segmentation to context-first outreach — knowing which report a prospect had read, how many times they'd visited, and what referred them before the first email went out.
The 377-contact energy vertical list became the seed for AI-personalized sequences that incorporate company-specific research hooks, reducing the time to craft a relevant message from hours to minutes.
Visibility into ChatGPT-referred traffic revealed an entirely new acquisition channel the team hadn't been tracking — prospects arriving via AI-generated research recommendations, already primed on Parks Associates' authority. That traffic is now captured, identified, and routed into the sales workflow rather than lost to anonymity.