Dynamic pacing
Pacing can consider answer rate, duration, after-call work, and availability to start new attempts.
OmniSmart Feature · Predictive Dialer
Predictive dialer to gain scale without losing control
Predictive mode uses campaign data and agent availability to adjust call pacing. Scale only becomes results when capacity, abandonment, list, and conversion are tracked together.
Data-driven pacingAbandonment monitoringCampaign integrated with CRM
speedPredictive dialer
MONITORED PACING
CapacityCalculatedagents and duration
PaceAdaptivecontinuous adjustment
AbandonmentMonitoredoperational limit
The calculation tracks campaign behavior
databaseBaseEligible contacts
calculateModelCalculated pacing
callCallsParallel attempts
support_agentAgentConnected contact
infoScale requires supervision and explicit parametersVISUAL EXAMPLE
Dynamic pacingAdjust according to campaign and team
Continuous viewAvailability, completion, and wait
Segmented basePriority and rules per portfolio
Real resultUseful contact and conversion
Direct answer
What is a predictive dialer?
A predictive dialer is an automatic dialing mode that uses statistics to estimate when agents will be available and how many calls should be initiated. Because it can call before a free agent exists, it needs to track answer rate, duration, after-call work, and abandonment to adjust pacing.
- It is suitable for large bases and monitored teams.
- It depends on enough data to calibrate pacing.
- It does not eliminate the need for governance and capacity.
- It should be evaluated by useful contact and results, not just volume.
Capacity-driven scale
The algorithm does not replace campaign management
Predictive mode reacts to operation signals, but the company remains responsible for base, schedule, objective, agents, limits, and experience. Configuration should start conservative and evolve as data comes in.
Real-time capacity
Free, busy, and after-call agents are part of the reading that supports campaign pacing.
Monitored abandonment
Track contacts answered without an available agent and adjust aggressiveness before expanding the campaign.
Technical result handling
Busy, invalid, no answer, and voicemail can receive specific rules depending on contracted resources.
Controlled cadence
Define windows, retries, and intervals per campaign to avoid indiscriminate repetition.
Result-based optimization
Compare useful contact, CPC, conversion, talk time, and cost instead of celebrating empty attempts.
Predictive operation
Start controlled, learn, and adjust
The best pacing is found through continuous campaign observation, not a fixed multiplier.
Segment the list
Separate portfolios and objectives so different rates do not contaminate the reading.
Set limits
Record capacity, hours, frequency, and operational tolerance before testing.
Start conservatively
Collect interaction data, duration, and availability with controlled risk.
Adjust pacing
Increase or decrease the pace based on useful contacts, wait time, and abandonment.
Compare results
Relate productivity to conversion, agreements, or another campaign goal.
Impact on operations
What changes in practice
Sustainable scale combines pace, capacity, abandonment, and results in a continuous view.
More pace when there is capacity
The system anticipates attempts based on signals observed in the campaign.
Visible risk
Abandonment and wait time are no longer hidden effects and become part of operational decisions.
Better understood database
Times, segments, and quality appear in answer rates and useful contact rates.
Volume linked to results
The manager connects dialing effort to conversion, agreement, meeting, or another goal.
Who it makes sense for
Predictive dialing for operations with volume and supervision
Higher-volume call centersCollectionsOutbound salesCustomer recoveryOutbound campaignsOperations with supervision
Frequently asked questions
Learn more
It uses data such as answer rate, duration, after-call work, and availability to estimate how many calls to start and when agents will be free.
Yes. This happens when someone answers and no agent is available in time. That's why the operation needs to continuously monitor abandonment, wait time, and pace.
Predictive anticipates calls based on calculation. Progressive only starts a call when an agent is available, offering more predictability and less potential scale.
There is no universal number. It needs enough volume and behavior to form patterns, plus agents capable of absorbing variations. The test should validate fit.
Answer rate, useful contact or CPC, abandonment, time to connection, occupancy, talk time, after-call work, conversion, and cost per result.
It can integrate lists, contact data, results, and next actions. The design depends on the APIs and which system will be the source of truth.
Talk to OmniSmart
Validate whether predictive dialing fits your scale
Bring a sample of volume, team, and metrics. OmniSmart helps design a test with clear limits and criteria.
Chat with a specialist
Tell us the basics about your scenario.