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Published byAmber Jackson Modified over 6 years ago
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Building Intelligence into your Outbound Calling
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Resources Numbers to dial Agents
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What Do We Know? Demographics, e.g. 24 Post code
Phone number responses e.g. busies, etc Sex Behavioural scoring e.g. propensity to spend money Age 24 Language
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What Do We Know? Skills, e.g. sex languages ability to close a sale
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What Do We Know? Market research Telemarketing Collections
Service call Often know very little about telemarketing …but lots about collections
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A Strategic Approach Complex data sets require rules
Rules – adaptive as data changes automated whenever possible Managers should only set targets
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Some General Rules
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High Level Objectives Wait times between calls Talk time per hour
List penetration as % of live numbers as % of Right Party Contact (RPC) Retries e.g. dial until at least 6 “not-presents” Sales Per Hour (SPH)
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Right Party Penetration
100 75 74 68 63 50 % penetration 55 42 25 25 1 2 3 4 5 6 No. calls
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Sales Per Hour (SPH) Number of Sales B R E A K E V E N Time
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Linking Campaigns List 2 List 3 List 4 List 1 30% 10% Numbers
for dialing 15% 45%
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End of List Behaviour Use Sales Per Hour (SPH) retry until SPH really dips then chain to another campaign Need an excellent dialer because live call rate will be low i) ii)
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What Dialing Method? Preview/ progressive for agent to preview details, or take a particular call Predictive otherwise with very low call abandonment, but use monitoring and other controls to ensure that high value calls get the right attention
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List Segmentation Consider segmenting lists based on scoring demographics Allows performance to be better understood Run lists at different times of day and use campaign linking to exploit differing behaviour patterns
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Managing Individual Numbers
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Managing Individual Numbers
Dial history allows rules to be applied. History examples: call type (e.g. live) who answered phone (if live) time and date call outcome Ensure you write dial history back to your database.
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A Simple Retry Strategy e.g.
If outcome is… Then retry in… Maximum no retries Busy 0d 0h 15m 6 No Answer 0d 3h 0m 4 Ans. Mach. Abandon 3d 1h 0m 2 Called Party Hangup 1d 2h 0m
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Combine with Multiple Numbers
Apply retry strategy to each number in sequence Apply maximum criterion to results for all numbers, or ‘not presents’ only
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Adding Skills-Based Routing (SBR)
Use skills-based metrics to decide which agent gets the call. “Give best leads to best agents” - not always the best strategy
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What to expect from SBR Predictive campaign benefits are limited. 50 agent campaign has as little as 3 or 4 agents waiting at any one time. Simple rules that have large groups work best e.g. ‘select agent based on gender’ SPH performance increment much smaller than the performance gains from employing a best-of-breed predictive engine.
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Outbound SBR strategies that work
Live and IVR agents on one campaign. Route calls by potential for sales value. Gender sells! Depending on proposition, same-sex or opposite sex agent-customer will yield best results. Make your campaigns big. Deploying lots of agents on one campaign increases the chances of getting a skills match
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Outbound SBR strategies that don’t work
Skill groups containing less than 5 agents. Campaigns divided into many skill groups with no natural overflow between groups. Hard skills enforcement. This generates massive call abandonment even using dialers that check agent skills matching before launching calls.
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