Glossary
Plain-English definitions of the metrics, systems, and concepts that shape modern e-commerce growth decisions.
Purpose
This glossary exists to reduce ambiguity. Many performance disagreements are not analytical — they are linguistic. Different teams use the same terms to mean different things.
The definitions below reflect how these terms are used in practice across e-commerce, paid media platforms, and growth advisory work.
Core Business & Growth Metrics
CAC (Customer Acquisition Cost)
The total cost required to acquire a new customer. In practice, CAC varies depending on attribution window, channel inclusion, and whether costs beyond media spend are included.
LTV (Lifetime Value)
The total gross contribution a customer is expected to generate over their relationship with the business. Often modeled rather than known with certainty.
Payback Period
The time required for gross profit from a customer to recover acquisition cost. A key constraint on growth velocity.
MER (Marketing Efficiency Ratio)
Total revenue divided by total marketing spend. Useful at the system level, but insufficient for diagnosing channel-level performance.
Paid Media & Platform Concepts
Account Structure
How campaigns, ad sets, and ads are organized. Structure influences learning, budget efficiency, and signal clarity.
Bidding Strategy
The mechanism platforms use to optimize delivery (e.g., cost cap, value optimization). Bidding affects who sees ads, not just how much is paid.
Creative Fatigue
Performance degradation caused by repeated exposure rather than market saturation. Often misdiagnosed as audience exhaustion.
Learning Phase
A platform state where delivery is still exploring outcomes. Frequent changes can prevent stable learning.
Incrementality
The degree to which media spend drives outcomes that would not have occurred otherwise. Difficult to measure directly in platform-reported data.
Measurement & Attribution
Attribution Window
The time period in which a conversion is credited to an ad interaction. Changing windows can materially change reported performance.
Platform vs Analytics Discrepancy
The gap between platform-reported results and third-party analytics (GA, Shopify, etc.). A signal quality issue, not necessarily an error.
Signal Quality
The reliability of events sent back to platforms. Affected by tracking design, browser restrictions, server-side implementations, and user behavior.
CAPI / Server-Side Tracking
Sending events from a server rather than the browser to improve durability and match quality. Not a cure-all.
Deduplication
Preventing the same event from being counted twice when using multiple tracking methods.
Funnels & Conversion
Funnel Leakage
Loss of users due to friction, confusion, or mismatch between stages (ad → landing page → checkout).
Offer Continuity
Consistency between ad promise, landing page message, and checkout experience.
Conversion Friction
Any unnecessary resistance in the purchase path — cognitive, technical, or experiential.
Decision & Systems Thinking
Constraint
The limiting factor preventing further growth. Often misidentified when data is noisy.
Local vs System Optimization
Improving one component (e.g., CPC) at the expense of overall system performance.
Decision Instrumentation
The quality of reporting and feedback loops used to guide action. Poor instrumentation leads to confident but incorrect decisions.
Attribution Risk
The likelihood that reported performance diverges meaningfully from reality due to measurement limitations.
Confidence Theater
The appearance of certainty created by precise dashboards and metrics that obscure underlying uncertainty.
How to use this glossary
These definitions are intended to serve as shared language. Alignment on meaning precedes alignment on strategy.