Case study
Stall or doubt? Inside TruEnergy’s 3,085-call practice gym.


TruEnergy is an energy broker: a free bill analysis across 25+ retail providers, sold mostly to Texas businesses, one cold call at a time. Cold calling is the hardest room in sales — the prospect didn’t ask to talk to you, and the first thirty seconds decide everything. So TruEnergy’s 51 brokers train for it the way a team trains for game day: in a practice gym, against AI prospects that stall, doubt, and push back like the real thing.
Over four months the team ran 3,085 practice cold calls. We read 420 of them line by line — every rep represented — and labeled 1,731 objection moments: what the prospect said, what the broker said back, and what happened next. The result is one of the clearest pictures we’ve seen of what actually works on a cold call.
Every objection is a stall or a doubt
The study’s central finding: every objection a broker hears is one of two kinds, and they need opposite handling. A stall(“I’m busy,” “send me info,” “I’m not the decision maker”) isn’t a question — it wants a time, not a pitch. A doubt (“what’s the catch,” “prove it,” “I’ve done this 25 years”) is a real question — it wants a straight answer before it will accept any next step.
Objection? Decide first: stall or doubt
40% of objections: busy · not the DM · send info · think about it · won’t share the bill
- 1Acknowledge — “Totally fair.”
- 2Advance — two specific options: “Today at 2 or tomorrow at 10?”
Acknowledge → ask: 85% agreed. No ask: 16%.
60% of objections: what’s the catch · prove it · happy with my provider · 25 years · in a contract
- 1Acknowledge — “Fair question.”
- 2Ask — “What happened last time?” · “When does your contract end?”
- 3Answer — one plain fact: “Providers pay us, never you.”
- 4Advance — smallest next step: a photo of the bill
Acknowledge: 68% vs 48% moved forward. Clarify: 66% vs 49%.
Get the fork wrong and the best move backfires. Pitching value at a stall — the single most common rep habit in the data — cut agreement rates by nearly two thirds (20% agreed with a value pitch vs 56% without). When someone says they’re busy, they don’t want to hear about savings. They want a time.
The most powerful move is the one reps skip
Asking for a specific next step — the bill, a callback time, the decision maker — is worth five times the agreement rate, and it was skipped seven times out of ten. It’s also the single most-flagged skill across the AI coach’s 16,860 notes on this team. The best reply pattern in the entire dataset is also the simplest: acknowledge, then ask.
The moves that keep a cold call alive
Three habits reliably killed conversations: deflecting the question (29% moved forward vs 67%), rambling (29% vs 63%), and arguing (39% vs 63%). One in five replies contained at least one of them. And the most common first move on the hardest objection — “prove you’ll save me money” — was a deflection: “it depends on your usage.” Technically true. Heard as a dodge.
“How does TruEnergy actually get compensated?”
What got said
“2nd opinion before you’re permanently moved. When does your contract expire?”
The coached answer
“Providers pay us a commission only when you sign. It’s similar across providers, so we have no reason to steer you. I’ll put that in writing.”
“Can you give me an example of a business like mine?”
What got said
“It all depends on the usage and the area.”
The coached answer
“I can’t share another customer’s numbers, but I can show you a sample analysis for a Texas contractor today. Then do yours with real numbers.”
The objections energy brokers hear, hardest first
Every doubt is harder than every stall. The hardest objection in the data — “I’ve been handling this for 25 years” — moved forward 43% of the time; the easiest — “let me think about it”— 82%, as long as the broker asked for a specific follow-up. Trust is the one that decides the most calls: “what’s the catch?” showed up in 65% of all conversations.
What the top-graded calls do differently
Top calls don’t face fewer objections by luck — they do discovery before pitching twice as often, which means fewer objections get triggered at all (3.6 per call against 4.6). And they finish: only one in ten top calls ended without a next step, against three in ten of the weaker ones.
From the team
“We’re sitting down with the TruEnergysales leadership for their side of this story — their words land here soon.”
How CloserCoach fits into TruEnergy’s sales process
We’re documenting this step by step with the TruEnergy team — the specifics land here shortly.
Methodology
The dataset is TruEnergy’s practice calls in CloserCoach, July–October 2026: 3,085 total, of which 2,601 ran three minutes or longer with a real two-sided conversation. We labeled 420 of those line by line — capped per rep so heavy users don’t dominate, all 51 reps included — producing 1,731 objection moments tagged with the prospect’s words, the broker’s reply, the moves used, and the prospect’s reaction. Coach-note themes come from 16,860 AI scorecard notes.
Honest caveats: these are practice calls against AI prospects, so no claim here is about real-world close rates or revenue. Labels are AI-produced against a fixed spec and spot-checked — treat individual percentages as directional, within about five points. “Agreed to a next step” is the AI prospect’s reaction, not a booked deal.
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