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BDC Manager

Manage outbound campaigns for conquest and retention

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What You Do Today

Design and execute outbound campaigns — service reminder calls, lease maturity outreach, equity mining, and conquest campaigns targeting competitors' customers.

AI That Applies

AI identifies the highest-potential outbound targets using equity position, service history, and life-event triggers. Generates personalized scripts and optimal contact sequences.

Technologies

How It Works

The system ingests equity position as its primary data source. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The output — personalized scripts and optimal contact sequences — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Outbound targeting becomes more precise. AI finds the customers most likely to respond to each campaign type.

What Stays

Having the conversation that turns a cold outbound call into an appointment requires salesmanship and the ability to create value in 30 seconds.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for manage outbound campaigns for conquest and retention, understand your current state.

Map your current process: Document how manage outbound campaigns for conquest and retention works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Having the conversation that turns a cold outbound call into an appointment requires salesmanship and the ability to create value in 30 seconds. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support equity mining tools tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long manage outbound campaigns for conquest and retention takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Sales or CRO

What data do we already have that could improve how we handle manage outbound campaigns for conquest and retention?

They're evaluating AI tools that will change your workflow

your sales ops or RevOps lead

Who on our team has the deepest experience with manage outbound campaigns for conquest and retention, and what tools are they already using?

They manage the CRM and data infrastructure your AI tools depend on

a sales enablement manager

If we brought in AI tools for manage outbound campaigns for conquest and retention, what would we measure before and after to know it actually helped?

They're building the training and playbooks around new tools

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.