Real buyer intent, hidden in plain sight
APX Net competes in a market where most sales happen through channel partners — not direct outreach. When the marketing lead wanted to build a direct pipeline, there was no sales team to hand leads to and no tooling to identify who was actually showing interest.
Website visitors were browsing APX Net's enterprise connectivity guides and contact pages, but there was no way to know which companies they came from, what they were researching, or how to reach the right person. Google Analytics had long since stopped showing that kind of detail.
Manual LinkedIn prospecting was the only option — and it wasn't working. Without context on why a company visited or who the right contact was, outreach felt like guesswork. With APX Net hiring its first direct sales rep on the horizon, the team needed infrastructure that could convert anonymous traffic into a real pipeline before that person walked in the door.
AI that does the qualification work so the team doesn't have to
APX Net deployed MarketBetter's Visitor ID and Signals, placing the tracking script on their website to begin identifying companies — and individual personas — browsing their pages. Within weeks, 54 AI-scored prospect signals had accumulated, each automatically evaluated for fit against APX Net's ICP.
The team used MarketBetter's persona builder to define two to three ideal buyer profiles — network managers and administrators in telecom and broadband. The AI used those personas to filter incoming visitor traffic, surfacing only the companies that matched and explaining exactly why each one scored high. Contact enrichment happened inside the platform — no separate subscription required.
“The AI does first-pass filtering so only qualified leads appear in my task queue — companies that don't fit our profile are excluded before I ever see them.”
The AI Chatbot went live on APX Net's website, adding an inbound layer to complement outbound prospecting. The team also reviewed the AEO dashboard — which identified 40 content gaps and a site-health score, giving a concrete content roadmap grounded in what AI engines were missing from the site.
When APX Net's first direct sales rep joins, they'll inherit a fully configured system — trained personas, an enriched signal queue, email sequences, and a dialer ready to activate, plus months of AI learning from the marketing lead's dismissal feedback.
A pipeline foundation built before the first sales hire
In under six months, APX Net went from zero outbound infrastructure to a running AI-scored prospect queue, active visitor identification, an inbound chatbot, and a content strategy informed by real search-engine gaps — all managed by a single marketing generalist.
Fifty-four AI-qualified signals accumulated and were ready to action before a single dedicated salesperson joined the company. Built-in enrichment meant APX Net didn't need to purchase a separate data subscription, and the AEO feature surfaced 40 specific content gaps, giving the content team a prioritized brief rather than guesswork.
When APX Net's first direct sales rep does come on board, they'll step into a system that already knows the ICP, has months of visitor history, and can generate personalized outreach on day one. The foundation means the new hire can spend their time closing — not configuring.