Playbook adherence, measured
Discovery questions, offer presentation, objection responses, closing — scored on every call against your standard.
Telesales
Learn what works in your best sales calls — and apply it across the team
InOro analyzes call structure, objection handling and the elements shared by conversations that result in a sale. Managers can use real examples to tailor coaching to each salesperson's needs, while proven practices become part of the team's standard approach.
The blind spot
Sales coaching runs on anecdotes
🎭
Nobody knows what the best do differently
Top performers 'just have it'; their technique never transfers because nobody can name it.
📄
The playbook is a PDF
You wrote the script, but whether it's followed on Tuesday afternoon is anyone's guess.
🤫
Missed offers are silent
A skipped cross-sell prompt makes no sound. Multiply by thousands of calls.
Cost of status quo
Your biggest revenue gap
The gap between your best and average agents is your largest untapped revenue source — and it persists because nobody can see inside it.
From gut to game tape
From gut feeling to game tape
Winner analysis
What high converters do differently, named and quantified: talk patterns, question order, objection technique.
Missed-opportunity detection
Calls where the promo, upsell or retention offer never came up — with the revenue math to prioritize fixes.
Best-call library
Real examples of your playbook done right, for onboarding and 1:1s — new agents learn from calls, not slide decks.
Conversion signals
Objection types, competitor mentions and buying intent trended per campaign.
AI Chat: ask your calls → The upgrade
Same team, different feedback loop
| Coaching today | Coaching on InOro data | |
|---|---|---|
| Basis | a few remembered calls | every call, scored |
| Feedback lag | weekly 1:1, if that | same day |
| 'Do more discovery' | opinion | 'you ask 1.8 questions vs top-quartile 4.2' |
| Onboarding | shadowing + luck | best-call library + gap tracking |
Ask your sales floor
Which calls had customers mentioning price concerns?
Found 47 calls with price objections. Top agent: Sarah (12 calls, 8 resolved). Avg. resolution time: 3m 24s.
Illustrative example with demo data.
The revenue full coverage finds
60%
Calls with promo mention
92%
Order rate when mentioned
Week 1
Time to find it
Anonymized case: agents mentioned the current promo in only 60% of calls, though the script required it every time. Where it was mentioned, 92% ended in an order. One insight, found in week one — worth more than the tool costs in a year.
Frequently asked questions
Is this like Gong?
Same idea, different arena: Gong targets B2B meetings and pipelines; InOro is built for high-volume telesales and contact centers — per-minute pricing, QA scorecards, EU hosting.
Can it score against our sales script?
Yes — your playbook becomes the scorecard, mapped 1:1; you edit criteria drag & drop as scripts change.
How does it find missed opportunities?
It detects where required offers or prompts didn't happen, and correlates with outcomes — like the promo case above (60% mentioned / 92% close when mentioned).
Will agents feel surveilled?
The shift is from 'gotcha' sampling to the same rules for everyone: every call, same criteria, visible reasons, best-call library for growth. Most agents prefer a fair 100% to a random sample.
How fast until first insights?
Setup 1 day; first playbook-adherence report within days of connecting recordings. 30-day pilot on your real calls.
Find your first missed-offer report
30-minute demo on your sales calls. 30-day free pilot.