LRN · AUDIENCE STACK/REV. 2026-06
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001 ·

Segmentation, personas, value tiers and first-party data — defining and reaching the right people.

Know exactly who you're talking to.

Here is the RGM audience stack — every way to define and target who you sell to, from segmentation and RFM value tiers to buyer personas, research methods, first-party data, and custom and lookalike audiences. Each grounded in real signals, not guesses. Start with a pillar, explore the periodic table, or filter the index.

0+Audience pages
0Method families
0Methods, mapped
0Persona profiles

How to read this stack: the best segments are the ones you act on differently. Ground every audience in owned data and real research — size it with the TAM/SAM/SOM tool and value it with the LTV calculator.

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At a glanceQuick answers

The short answers.

How to segment?Value + behavior

RFM and CLV tiers beat demographics for action.

Personas or ICP?Both

ICP picks the accounts; personas pick the people in them.

Post-cookie targeting?First-party data

Own the data; build custom and lookalike audiences from it.

Highest-value segment?Champions

Your top RFM/CLV tier funds the rest.

Best research method?Talk to customers

Interviews and jobs-to-be-done beat guessing.

Audience going stale?Refresh & expand

Watch saturation; rotate seeds and expand carefully.

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Load-bearing methodsSheet — 02 / 10

Six methods hold the roof.

Start here. Defining an audience comes down to a handful of moves: segment by value, build personas from research, own your data, and activate it. Learn these six and the rest follow.
Start here
  1. F-01Audience segmentationDivide the market into groups you target differently.
  2. F-02RFM segmentationRecency, frequency, monetary — the value model.
  3. F-03Buyer personasThe people who research, decide and use.
  4. F-04Research methodsTalk to customers — interviews, surveys, JTBD.
  5. F-05First-party dataThe data you own — post-cookie foundation.
  6. F-06Custom audiencesActivate owned lists and seed lookalikes.
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The audience indexSheet — 03 / 10

Every method, filed.

Look at the audience library by family. Filter by name or pick a family. The full stack runs 1,050+ pages including 196 persona profiles; the marquee methods are below, and search opens the rest.

Showing 26 of 26 methods

No method matches that filter. Search the full library — it reads every page.

This is the curated index. The full audience stack holds 1,050+ pages — search the complete collection or jump to any family above.

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The map of methodsSheet — 04 / 10

The periodic table of audiences.

Hover or tap a method. Thirty ways to define and reach an audience, grouped into six families — segmentation, value & RFM, personas & data, research, ad audiences, and audience ops. Filter by family, or hit ★ Core for the ten that anchor most programs. Each tile links to its guide.
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Audience by the numbers — 2026Sheet — 05 / 10

Why the right audience pays.

Tap a card. Targeting the right people, with data you own, moves real numbers. Here are the 2026 signals that make the case — each sourced, each linked to the method and the benchmarks compendium.
~$10BATT reshaped targeting

Meta revenue hit from ATT

Meta guidance; ZenithCustom audiences →
Did you know? ↗
58.5%The zero-click web

US zero-click searches

SparkToro / DatosFirst-party data →
Did you know? ↗
~20xSegmented flows win

Flow vs campaign RPR

KlaviyoEngagement segments →
Did you know? ↗
118%Value concentrates

Enterprise NRR

BenchmarkitCLV tiers →
Did you know? ↗
70.2%Design for the leak

Carts abandoned

Baymard InstituteCart-abandoner design →
Did you know? ↗
6.1xOwn it, activate it

Retail media ROAS

SkaiActivate first-party →
Did you know? ↗
You can't out-target a vague audience. Define who, precisely, and every channel gets cheaper.
— RGM analysis, 2026

Audience & targeting signals, 2026 — see the full sourced set in the RGM Benchmarks compendium.

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RGM audience toolsSheet — 06 / 10

Size it and value it.

Use these. RGM ships free calculators for sizing markets and valuing segments — TAM, LTV, CAC, payback — no signup. Put a number on every audience before you spend on it.
RGM ToolTAM SAM SOM

Size the market before you target it.

 RGM ToolLTV Calculator

Lifetime value from margin and retention.

 RGM ToolLTV:CAC Ratio

Whether a segment's economics hold up.

 RGM ToolCAC Calculator

Cost to acquire a segment's customers.

 RGM ToolCustomer Lifetime

How long a segment stays.

 RGM ToolChurn Rate

The leak per segment.

 RGM ToolAOV Calculator

Order value by segment.

 RGM ToolConversion Lift

Test a segment's response.

 RGM ToolBlended CAC

Cost per new customer across segments.

 RGM ToolAllowable CAC

The most a segment is worth acquiring.

 RGM ToolBudget Forecaster

Allocate spend across audiences.

 RGM ToolCPM Calculator

Cost to reach an audience.

Browse every calculator on the RGM tools floor, or start with the benchmarks compendium.

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MethodSheet — 07 / 10

How to build an audience.

Five steps. A precise audience makes every channel cheaper. Here is the sequence from market to activation.
  1. Size the market. Estimate your total, serviceable and obtainable market before you target anyone — the TAM/SAM/SOM calculator keeps ambitions honest.
  2. Segment by value and behavior. Group customers by RFM and lifetime value, not just demographics, so effort follows worth.
  3. Build personas from research. Interview real customers and map their jobs-to-be-done with research methods — not a made-up avatar named “Marketing Mary.”
  4. Activate on first-party data. Build custom and lookalike audiences from data you own, since third-party signals are fading.
  5. Manage the audience. Watch overlap and saturation, and refresh and expand before performance decays.
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Go deeperSheet — 08 / 10

The deep methods.

Beyond the segment. Each method has a full guide, and the stack goes deeper: hundreds of specific audience designs and 196 buyer-persona profiles, each mapped to pain points, jobs-to-be-done and the metrics they care about.
Deep methodRFM Segmentation

Recency, frequency, monetary, implemented.

 Deep methodPredictive CLV

Model future value before it shows.

 Deep methodFirst-Party Activation

Turn owned data into audiences.

 Deep methodSeed Audience Design

Better seeds, better lookalikes.

 Deep methodCompetitive Intelligence

Learn the audience from rivals.

 Deep methodOverlap Analysis

Stop audiences competing with each other.

Building a persona? The stack profiles 196 roles — each with pain points, jobs-to-be-done, tools they use and how to market to them. Search the persona library →

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The voices — top 12Sheet — 09 / 10

The voices — top 12.

Follow these. The people who shaped how marketers segment, target and research audiences — from the father of segmentation to modern first-party-data thinkers. Each links to a profile.
01Philip KotlerThe father of modern segmentation 02Byron SharpReach & light buyers over loyalty 03April DunfordPositioning & the ideal customer 04Mark RitsonTargeting & segmentation rigor 05Les BinetWho to reach, and how broadly 06Seth GodinPermission & the smallest viable audience 07Peep LajaCustomer research for conversion 08Sean EllisThe PMF survey & must-have segment 09Rand FishkinAudience research & first-party data 10Neil PatelAudience building at scale 11Andrew ChenNetwork effects & user segments 12Lenny RachitskyPersonas & product audiences

Browse all marketing thought leaders →

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FAQSheet — 10 / 10

Audience questions.

What is audience segmentation?

Dividing your market into groups that behave, value or need differently so you can target each with the right message. The most actionable segments are built on behavior and value — RFM and lifetime value — not demographics alone.

What is the difference between a persona and an ICP?

An ideal customer profile describes the type of company worth selling to; a buyer persona describes the people inside it who research, decide and use. ICP picks the accounts, personas pick the humans in them.

How should I segment my audience?

Start with value and behavior: RFM and CLV tiers tell you where the money is. Layer in lifecycle stage, intent and firmographics as needed. Demographics alone rarely change what you do.

Why does first-party data matter now?

Third-party cookies and mobile identifiers are fading and Apple's ATT cut off most cross-app tracking, so the audiences you can reliably target are the ones you own. First-party data powers custom and lookalike audiences that survive the privacy shift.

What is a lookalike audience?

An audience a platform builds by finding new people who resemble a seed list of your best customers. The quality of the seed, not the platform, drives the result.

How many audience segments should I have?

Only as many as you will act on differently. A few value-based tiers you actually treat differently beats dozens that all get the same message — and watch for overlap and saturation.

Sources & provenance

  1. Audience signals (ATT revenue impact, zero-click share, email flow revenue, net revenue retention, cart abandonment, retail-media ROAS) are drawn from the RGM 2026 Benchmarks compendium, which sources each figure to Zenith, SparkToro, Klaviyo, Benchmarkit, Baymard and Skai.
  2. Method family groupings and the periodic-table layout are RGM's synthesis; every tile links to its full guide.
  3. Stack census — RGM analysis, June 2026; audience page and persona-profile counts are live totals from the deployed tree.