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How to Create Tiered Audiences Using AI Agent Insights

This guide explains how to translate AI insights into reusable, scalable audience segments.

Updated over 2 weeks ago

Overview

After identifying predictive high-value signals, the next step is converting those signals into structured audience tiers inside BlueConic. You could even consider applying specific logic to the tiers related to the type of activation you want to do (i.e. onsite activation vs paid media vs CRM)

By completing this process, you will have:

  • A tiered audience framework (e.g., VIP, High Value, Growth Potential, At-Risk Valuable)

  • Clear, measurable criteria for each tier

  • Segments that can be activated across channels and optimized over time.


Before you begin

Ensure the following prerequisites are met:

  • You have a ranked list of predictive signals from the prior AI Agent output.

  • The required properties and/or rollups exist in your tenant (e.g., revenue, purchase frequency, recency, engagement, predictive scores).

  • You can create and save segments in BlueConic.

  • If your tiering depends on time-based behaviors (e.g., “last 12 months”), confirm that the relevant timeline events or rollup properties are available.


Step 1: Review and Categorize the Signals

Identify the signals that consistently differentiate value for your organization. Typical signals include:

  • Revenue indicators (e.g., lifetime revenue, subscription value)

  • Frequency indicators (e.g., transaction count, repeat purchase behavior)

  • Recency indicators (e.g., time since last purchase, time since last visit)

  • Engagement indicators (e.g., click depth, content affinity, email interaction)

  • Predictive scores (if available) (e.g., predicted value, churn risk)

Group signals into logical clusters so you can design tiers around patterns, not single metrics:

  • Value

  • Recency

  • Intent / Affinity

  • Risk


Step 2: Decide on a Tier Model

A tier model organizes customers into structured value groups so you can apply different activation strategies to each group. Select a tier structure that aligns with your business goals and how you plan to activate audiences.

A common four-tier model includes:

  • VIP – Highest value customers

  • High Value – Strong, consistent contributors

  • Growth Potential – Customers with upside opportunity

  • At-Risk Valuable – Previously valuable customers showing decline

Adjust the structure based on your business model (e.g., subscription, commerce, publishing) and your activation plan.

Each tier should support a distinct objective, such as:

  • Protecting revenue

  • Increasing share of wallet

  • Driving repeat purchase

  • Preventing churn

Define the intended action for each tier before finalizing segment criteria.


Step 3: Define Measurable Criteria for Each Tier

Using your ranked signals, translate insights into clear, testable rules.

You can use the AI Agent to propose an initial tier structure based on your predictive signals before finalizing criteria. This can accelerate the process and help validate that your thresholds align with the strongest predictive drivers.

Example AI Prompt

Using the previously identified predictive signals, propose a 4-tier audience structure (VIP, High Value, Growth Potential, At-Risk Valuable) with measurable criteria for each tier.

Provide:

  • Clear logical conditions

  • Suggested thresholds

  • Rationale for each tier

Send the results to [email]@[brand].com.


Example Structure

Below is an example of how tier logic might be structured.

Tier 1: VIP (Top 5%)

Example criteria:

  • Top customer value decile

  • High lifetime revenue

  • High expected future purchases

Tier 2: High Value (Next 10–15%)

Example criteria:

  • Multiple purchases

  • Recent transaction

  • Above-average revenue

Tier 3: Growth Potential

Example criteria:

  • Single purchase

  • High engagement score

  • Moderate predicted value

Tier 4: At-Risk Valuable

Example criteria:

  • Previously high revenue

  • Long recency gap

  • Declining engagement (i.e. visits, email)

Design tiers using signal combinations wherever possible. This reduces noise and makes movement between tiers measurable.


Step 4: Create the Segments in BlueConic

  1. Navigate to Segments.

  2. Create a new segment for each tier.

  3. Add profile property rules and behavioral conditions based on your tier criteria.

  4. Save each segment and use clear naming conventions.

Example naming:

  • VIP — High Value

  • High Value — Active

  • Growth — Engaged

  • At-Risk — Previously High Value

Where possible, ensure tiers are mutually exclusive to avoid activation conflicts.


Step 5: Apply Tiering to Existing Broad Segments

If you currently use broad segments such as “Active Customers”, convert them into a tiered model. Recommended approach:

  • Duplicate the existing broad segment or use it as your base segment

  • Layer in tier-specific rules

  • Validate audience size and overlap

  • Activate by tier across channels

This ensures your existing segmentation strategy becomes more precise without starting from scratch.


Step 6: Activate Tiered Audiences

After defining tiers and creating segments:

  1. Activate each segment in the appropriate channels (e.g., onsite personalization, email, paid media, CRM sync).

  2. If applicable, configure a BlueConic Lifecycle for the campaign.

  3. Ensure each profile can belong to only one lifecycle stage at a time.

  4. Enable dynamic movement between stages based on updated profile data.

Using Lifecycles helps control marketing pressure and ensures profiles move between tiers as behavior changes.

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