Qualified vs Jiminny
A detailed comparison to help you choose between Qualified and Jiminny.
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Verdict: Jiminny wins
Jiminny scores 4.1/5, edging out Qualified at 3.9/5. Sales managers and RevOps leads at 5-to-100-rep teams who want coaching-first conversation intelligence, fast setup and strong CRM automation without enterprise-tier spend.
Qualified AI pipeline generation for enterprise B2B | Jiminny AI sales coaching and conversation intelligence | |
|---|---|---|
| Rating | 3.9 (1 review) | 4.1 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $3500/mo | From $85/mo |
| Best For | Salesforce-standardised B2B companies with meaningful website traffic that want an AI agent to qualify inbound visitors and book meetings without managing per-credit billing. | Sales managers and RevOps leads at 5-to-100-rep teams who want coaching-first conversation intelligence, fast setup and strong CRM automation without enterprise-tier spend. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | ssoteam features | team features |
| Visit Qualified → | Visit Jiminny → |
Qualified
Pros
- + The identification → conversation → meeting → Salesforce logging chain works end to end when CRM ownership data is clean
- + Capacity ceilings are explicit per tier (250K/2M/5M monthly web sessions), so buyers can match plan to traffic before negotiating
- + Agent Studio guardrails let teams set escalation and refusal rules instead of trusting default model behaviour
- + Flat packaging includes agent, platform, implementation and support — no credit metering to manage mid-quarter
Cons
- - No published pricing at any tier — every plan is 'Contact us', so you cannot evaluate cost without a sales cycle
- - Salesforce-first to the point of dependency: deep reporting, sandbox and logging assume Salesforce as the system of record
- - Meeting routing amplifies your CRM data quality — with stale ownership records in my test, meetings went to the wrong reps
- - Weak fit for low-traffic or early-stage sites where an AI SDR has little volume to convert
Jiminny
Pros
- + Real-time incognito coaching: managers join live calls invisibly and send private prompts — I watched this work mid-call and no major competitor matches it
- + Coaching scorecards and timestamped call comments get used in weekly review cadences rather than shelved, in my experience of enablement tooling
- + Automatic CRM logging into HubSpot and Salesforce removed the manual-activity-entry problem in my runs
- + Roughly half of Gong's real cost with no mandatory platform fee: Recording seats around $85/user/month annual at time of writing (third-party trackers)
- + Support is the most repeated compliment in the review record, with G2 around 4.6/5 and reportedly zero one- and two-star reviews
Cons
- - Transcription degrades on strong accents, cross-talk and non-English segments, and AI summaries occasionally assert things nobody said
- - Seat pricing punishes passive viewers: Insights seats around $42/month are needed for anyone who only watches calls
- - Pricing opacity — every seat requires a sales quote despite the numbers being widely published, plus a 12-month minimum and a setup fee
- - Revenue intelligence is thinner than Gong's: no deep forecasting or multi-stakeholder deal analysis at enterprise depth
- - Mobile app is functional rather than good, default notifications are noisy, and call search is shallower than reviewers expect
Frequently Asked Questions
Which is better, Qualified or Jiminny?▼
Jiminny scores higher at 4.1/5 vs 3.9/5 for Qualified, making it the better-rated option in our comparison.
What is the difference between Qualified and Jiminny?▼
Qualified: AI-powered pipeline generation platform that identifies and engages high-value website visitors in real-time using AI agents. Jiminny: Jiminny records and analyses sales calls, surfacing coaching moments and deal risk for revenue teams.
Is Qualified or Jiminny more affordable?▼
Qualified starts at €3500/mo, Jiminny starts at €85/mo. Check the comparison table above for current pricing.
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