7 posts tagged with "case-study"

Scaling an SDR team sounds simple on paper. You hire another rep, give them a login, and point them at some accounts. In practice, it's one of the most operationally complex moves a growing B2B company can make — especially when you're expanding from 2 to 3 seats and every new hire needs to be immediately productive.

For benefits administration and distribution platforms, the complexity multiplies. You're selling to HR leaders, benefits brokers, TPAs (third-party administrators), and employers of varying sizes across every US state — each with different regulatory requirements, competitive landscapes, and buying behaviors.

One benefits distribution platform cracked this problem by doing something most companies skip entirely: they defined their ICP with surgical precision before adding headcount. Six distinct deal types. Territory-based routing by US state. And a signal-based selling motion that made their third SDR productive in weeks, not months.

Here's how they did it.

The utility and energy monitoring space is brutally niche. You're selling complex SaaS to a buyer pool that's small, slow-moving, and deeply skeptical of new vendors. Most energy monitoring platforms serve a few hundred target accounts at best — and those accounts are bombarded by every IoT vendor, smart grid consultant, and legacy SCADA provider on the planet.

So how does a small team — we're talking fewer than ten people — build a predictable pipeline without an army of SDRs or a seven-figure ad budget?

One company figured it out. And the answer wasn't more cold calls.

Selling IoT connectivity to school districts is a patience game.

Budget cycles run on fiscal years. Decisions involve superintendents, IT directors, procurement offices, and sometimes school boards. A single deal can take 6-12 months from first contact to signed PO. And your buyer persona — the district technology coordinator who manages connectivity for 40 schools — doesn't respond to cold LinkedIn DMs.

Now imagine managing this across 1,400+ school district customers spread nationwide, with a three-person SDR team covering geographic territories. Every territory looks different. Every state has different E-Rate funding cycles. Every district has different procurement rules.

This is the reality one K-12 education IoT connectivity company faced — and how they transformed their go-to-market by replacing guesswork with AI-powered signals.

If you sell energy monitoring, utility analytics, or building performance software, you already know the challenge: your buyers don't fill out forms.

Facility managers, energy consultants, and sustainability officers visit your website to compare solutions. They read your case studies. They check your pricing page. Then they leave — and your sales team never knows they existed.

For most utility tech vendors, 95% of website traffic is invisible. That's not a rounding error. That's your pipeline walking out the door.

This is the story of how a utility and energy monitoring SaaS company — small team, tight budget, HubSpot CRM — turned anonymous website visitors into their primary pipeline source using AI-powered signal intelligence.