Lifecycle Marketing Glossary

35 terms every CRM and retention marketer should know. Plain language, no filler.

A

Average Order Value (AOV)
The average revenue per transaction. One of three levers for growing revenue alongside purchase frequency and customer count.

B

Behavioral Trigger
An automated message sent in response to a specific customer action: a purchase, a cart abandonment, a browse event, a subscription change. The foundation of lifecycle automation.
Broadcast (Campaign Send)
A one-time message sent to a defined audience at a scheduled time. Used for promotions, announcements, and content distribution.

C

Churn Rate
The percentage of customers who stop buying or cancel within a given period. Calculated as lost customers divided by starting customers. The single most important retention metric.
Customer Lifetime Value (CLV)
The total revenue a customer generates over their entire relationship with your business. Can be calculated historically or predicted using statistical models.
Cohort Analysis
Grouping customers by their acquisition date (or another shared attribute) and tracking their behavior over time. Reveals retention trends that aggregate metrics hide.
Customer Health Score
A composite metric that combines engagement signals, purchase behavior, and support interactions to estimate a customer's likelihood of staying or leaving.
Cross-Channel Orchestration
Coordinating messages across email, SMS, push, in-app, and other channels based on customer behavior and preferences. The goal is a coherent experience, not parallel campaigns.
Customer Data Platform (CDP)
A system that unifies customer data from multiple sources into a single persistent profile. Used for segmentation, personalization, and audience activation across channels.

D

Deliverability
The ability of your emails to reach the inbox rather than the spam folder. Affected by sender reputation, authentication, content quality, and list hygiene.

E

Engagement Window
The time frame during which a customer is considered "active" based on opens, clicks, purchases, or other behavioral signals. Varies by business model and purchase cycle.

F

Flow (Automated Sequence)
A series of messages triggered by a customer event or segment entry. Runs continuously without manual intervention. Examples: welcome series, post-purchase, win-back.
First-Party Data
Data collected directly from your customers through your own channels: purchase history, email engagement, site behavior, survey responses. Increasingly valuable as third-party cookies disappear.

H

Holdout Test
An experiment where a randomly selected control group receives no message. Measures the true incremental impact of a campaign by comparing treated vs. untreated groups.

I

Incrementality
The additional revenue or conversions generated by a marketing action that would not have happened without it. Holdout tests are the gold standard for measuring it.
Identity Resolution
The process of connecting multiple identifiers (email, device ID, phone number, cookie) to a single customer profile. Critical for cross-channel personalization.

L

LTV/CAC Ratio
Customer Lifetime Value divided by Customer Acquisition Cost. Indicates whether your acquisition spending is sustainable. A ratio below 3:1 usually signals trouble.

M

Marketing Qualified Lead (MQL)
A lead that meets predefined criteria (behavior, demographics, engagement) indicating they are ready for direct sales or marketing outreach.

P

Predictive CLV
A forward-looking estimate of how much a customer will spend, built from purchase history, engagement patterns, and demographic data. Used for budget allocation and acquisition targeting.
Payback Period
The time it takes for a customer to generate enough revenue to cover their acquisition cost. Shorter is better. Directly affected by retention and average order value.
Progressive Profiling
Collecting customer data gradually over time rather than all at once. Each interaction captures a small piece of information, building a richer profile without creating friction.
Preference Center
A page where subscribers manage their communication preferences: frequency, channels, content topics. Reduces unsubscribes by giving customers control.

Q

Quiet Hours
Time windows during which no messages are sent, typically overnight. Required by SMS regulations (TCPA) and a best practice for all channels.

R

Reactivation Rate
The percentage of lapsed customers you bring back into active purchasing. Measures the effectiveness of your win-back programs.
RFM Segmentation
A scoring model that ranks customers by Recency (last purchase), Frequency (purchase count), and Monetary value (total spend). Tells you who matters most and who is slipping away.
Retention Curve
A chart showing what percentage of a cohort remains active over time. A flattening curve means you have a retention floor. A continuously declining curve means you have a problem.
Repeat Purchase Rate
The percentage of customers who make more than one purchase. The most direct measure of whether your retention programs are working.

S

Suppression List
A list of contacts excluded from receiving specific messages. Used for compliance, deliverability management, and preventing message fatigue.
Sender Reputation
A score assigned by mailbox providers based on your sending behavior: complaint rates, bounce rates, engagement signals, and authentication. Determines whether your emails land in the inbox.
SPF/DKIM/DMARC
Email authentication protocols. SPF validates the sending server, DKIM adds a cryptographic signature, and DMARC ties them together with a policy for handling failures. All three are required for good deliverability.
Send-Time Optimization
Using machine learning to deliver messages when each individual recipient is most likely to engage. Works best with large datasets and consistent sending patterns.

T

TCPA
The Telephone Consumer Protection Act. US federal law governing SMS and voice marketing. Requires express written consent before sending marketing texts. Violations carry fines of $500 to $1,500 per message.

W

Win-Back Campaign
A targeted sequence of messages designed to re-engage customers who have lapsed. Usually combines a reminder, an incentive, and a final attempt before suppression.

Z

Zero-Party Data
Data that customers intentionally share with you: preferences, interests, communication frequency choices. Collected through preference centers, quizzes, and onboarding flows.

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