Implementing Predictive Dialing Strategies for High-Volume Outbound Compliance

How-To-Articles
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Implementing Predictive Dialing Strategies for High-Volume Outbound Compliance

What This Guide Covers

  • Architecting a high-volume outbound dialing campaign in Genesys Cloud without violating strict telemarketing regulations (TCPA, Ofcom, ACMA).
  • Tuning the Predictive Dialing algorithm to balance Agent Utilization (keeping agents busy) with Abandon Rates (preventing silent calls).
  • Implementing Answering Machine Detection (AMD) and dynamic pacing based on real-time campaign performance metrics.

Prerequisites, Roles & Licensing

  • Licensing: Genesys Cloud CX 1, 2, or 3 with Outbound Add-on (if CX1/CX2).
  • Permissions: Outbound > Campaign > Edit, Outbound > Contact List > Edit.
  • Infrastructure: A configured SIP Trunk with high outbound Channels per Second (CPS) capacity, and a cleansed contact list.

The Implementation Deep-Dive

1. The Danger of “Over-Dialing”

A Predictive Dialer works by dialing multiple phone numbers simultaneously before an agent is actually available. It predicts that an agent will finish their current call right as the customer answers the phone.

The Trap:
If the algorithm dials 10 numbers for every 1 available agent, and 3 customers answer, 1 connects to the agent and 2 are left listening to dead air. This is an Abandon. In the US (under TCPA) and the UK (under Ofcom), if your abandon rate exceeds 3% over a 30-day period, you face massive fines (up to $1,500 per call). You cannot simply set the dialer to maximum speed and walk away.

2. Configuring the Predictive Pacing Mode

Genesys Cloud offers multiple dialing modes. For high volume, Predictive is standard, but Progressive is safer. We will configure a strict Predictive campaign.

Implementation Steps:

  1. Navigate to Admin > Outbound > Campaigns.
  2. Create a new Campaign and set the Dialing Mode to Predictive.
  3. The Abandon Rate Threshold: This is the most critical setting. Set the Maximum Abandon Rate to 2.5% (giving yourself a 0.5% buffer below the legal limit).
  4. Genesys Cloud uses a patented algorithm. If the abandon rate creeps up to 2.4%, the system will automatically slow down the dialing pace (moving closer to a 1:1 dial ratio) until the average drops back down.

3. Tuning Answering Machine Detection (AMD)

AMD is essential for agent efficiency. If an agent spends 80% of their day listening to voicemails and hanging up, your ROI collapses.

Architectural Reasoning:
AMD works by analyzing the audio of the person answering. “Hello?” (short burst of sound) = Human. “Hi, you have reached the voicemail of John Doe, please leave a…” (long continuous sound) = Machine.

Implementation Steps:

  1. In your Campaign settings, enable Call Analysis Responses.
  2. The “Machine” Action: Configure the campaign so that if a “Machine” is detected, the dialer automatically hangs up or plays a pre-recorded message without ever routing the call to the agent.
  3. The Trap of False Positives: If you set AMD to be too aggressive, it will flag humans with deep voices or background noise as machines. This causes “Silent Calls” where the customer says “Hello?”, the dialer thinks they are a machine, and hangs up on them.
  4. The Fix: In your Edge/Trunk configuration, ensure Call Analysis Language is set accurately. If you are dialing the UK, set it to en-GB. The cadence of a UK ringback tone is entirely different from a US ringback tone; using the wrong language pack breaks the AMD algorithm.

4. Implementing DNC (Do Not Call) and Time-Zone Compliance

You cannot call a customer in California at 6:00 AM.

Implementation Steps:

  1. DNC Lists: Always attach a DNC list to your campaign. In Genesys Cloud, you can integrate via API to a third-party DNC scrubbing service (e.g., Gryphon or DNC.com) to automatically filter out numbers before they are loaded into the Contact List.
  2. Callable Times: Navigate to Admin > Outbound > Callable Times. Create a rule that maps phone number area codes to time zones.
  3. Restrict dialing to standard legal hours (e.g., 8:00 AM to 9:00 PM local time). Genesys Cloud will automatically suppress records in the list that fall outside this window, preventing accidental TCPA violations.

Validation, Edge Cases & Troubleshooting

Edge Case 1: The “Small List” Pacing Failure

  • The Failure Condition: You launch a Predictive campaign with only 3 agents logged in. The agents sit idle for 10 minutes between calls, and then suddenly 3 calls drop simultaneously.
  • The Root Cause: Predictive algorithms require large datasets to make accurate predictions. If you have fewer than 10 agents on a campaign, the math completely breaks down because human behavior is too erratic.
  • The Solution: Never use Predictive mode for small teams. If you have fewer than 10 agents, switch the campaign to Progressive mode. Progressive mode never dials unless an agent is guaranteed to be available, completely eliminating abandon risk at the cost of slightly lower utilization.

Edge Case 2: Carrier Spam Labeling (STIR/SHAKEN)

  • The Failure Condition: Your dialer is pacing perfectly, but your connection rate is 2%. You discover that when you call customers, their cell phone screens display “SCAM LIKELY”.
  • The Root Cause: High-volume predictive dialing triggers carrier heuristic filters. If you make 10,000 calls a day from a single Caller ID (ANI), AT&T and Verizon will flag you as spam.
  • The Solution: Implement Dynamic Caller ID rotation. Instead of using one number, purchase a block of 50 local numbers. In the Campaign settings, use an Architect outbound flow to randomly cycle the outbound Caller ID on every call, ensuring no single number crosses the spam threshold. Additionally, ensure your SIP trunk provider has fully attested your numbers under the STIR/SHAKEN framework (Attestation Level A).

Official References