Comparison
Best Predictive Dialer Software in India (2026)
The best predictive dialler software for Indian businesses in 2026 — pacing depth, TRAI compliance, AMD accuracy, INR pricing and real connect-rate benchmarks.
Pick the wrong predictive dialler and your collections team's connect rate stalls at 12% while compliance officers field TRAI complaints. Pick the right one and you're at 28% connect with full audit logs. Here's how to evaluate predictive dialler software for India in 2026.
What "good" looks like in 2026
- Pacing AI auto-throttles to keep abandonment under TRAI's 3% threshold
- AMD accuracy 95%+ on Indian voice patterns
- NCCP scrub built into the dial cycle, not a separate service
- Mode switching — predictive, progressive, preview, power without changing platforms
- Live wallboard — supervisors see pacing, abandonment and agent state in real time
- Per-campaign config — different ratios, scripts, calling windows per DPD bucket
The vendor landscape in India
| Vendor | Best for | Price band |
|---|---|---|
| Kedeyo | Growth-stage SMBs to mid-market | ₹1,500-2,500 / seat |
| Ameyo | 500+ seat enterprise | ₹3,000-6,000 / seat |
| Exotel | Dev-heavy teams building custom | ₹2,000-4,000 / seat |
| Knowlarity | Established mid-market | ₹2,000-4,000 / seat |
| Ozonetel | BFSI focus, telco-grade | ₹2,500-5,000 / seat |
| TeleCMI | SMBs that want cheaper | ₹1,200-2,000 / seat |
Pricing varies by volume commitment, training data inclusion, and bundled features. Honest comparisons in Ameyo vs Kedeyo and Exotel vs Kedeyo.
Connect-rate benchmarks (real, anonymised)
| Use case | Manual baseline | Predictive (good) |
|---|---|---|
| BFSI collections (warm) | 8-12% | 22-30% |
| BFSI collections (cold) | 3-6% | 10-15% |
| EdTech admissions | 10-15% | 25-35% |
| Real estate site visits | 12-18% | 30-40% |
| E-commerce COD verification | 20-30% | 45-60% |
TRAI red flags to verify
- Abandonment threshold — TRAI considers above 3% non-compliant; auto-throttle should keep it under
- Calling window enforcement — automatic pause at 9 PM, resume at 9 AM IST
- NCCP scrub timestamp — every dialled number tagged with its scrub-result reference
- DLT header binding — every campaign tied to a registered Principal Entity
- Audit log retention — 90+ days mandatory, longer for BFSI
Demo questions to ask
- Show me AMD running on Hindi voicemail audio (don't accept English-only demos)
- What happens when abandonment crosses 3%? (Should auto-throttle, not just alert)
- Walk me through the NCCP scrub log — what data is retained and for how long?
- Switch the campaign from predictive to preview live — does it work mid-call?
- Show me the per-DPD bucket configuration for a collections campaign
Why Kedeyo's auto dialler holds up
Kedeyo's auto dialler ships all four pacing modes with mid-campaign switching, 96.4% AMD accuracy on Indian voice patterns, NCCP scrub on every batch with audit log, and INR per-seat pricing with no per-minute fees. See predictive vs auto dialer for mode selection guidance.
Bottom line
Pick a predictive dialler on AMD accuracy, pacing AI quality and TRAI integration depth — not on the headline connect-rate claims in the deck. Demo on YOUR audio, with YOUR list, with the abandonment threshold visible. Reference: Gartner CCaaS for industry definitions.
Frequently asked questions
What pacing ratio is safe?+
What's a good AMD accuracy?+
Can predictive diallers handle Hindi voicemail detection?+
What's the typical INR pricing?+
How does Kedeyo's auto dialler compare?+
Kedeyo Editorial
Reviewed by the Kedeyo product team
Last updated
4 May 2026
