Glossary

Explore growth and pLTV terms. Filter by A–Z, topic, or search.

Zero-party data

is information customers intentionally share with your brand: quiz answers, preference centers, survey responses, stated budget, size/fit choices, communication opt-ins, and declared purchase intent. It sits alongside

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Wrong format purchase

is when a customer buys an incompatible variant (wrong size, flavor, device model, or refill type) and then returns the product or abandons the brand. The purchase counts as a conversion and positive value in ad platform

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Wardrobing

is buy-use-return behavior: a shopper purchases an item (often apparel or accessories) to wear once for an event or photos, then returns it under normal policy. The purchase counts as a conversion and positive value in a

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User value re-ranking

What is user value re-ranking? User value re-ranking is reordering users by predicted value after the anchor event fires . Platforms allocate spend toward highe

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Unit economics

is the revenue, cost, and margin structure at the level of one customer, order, or subscription, usually expressed as LTV, CAC, contribution margin, and

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Target ROAS (tROAS)

Divide expected LTV or contribution margin per customer by CAC, then adjust for margin of safety. Example: $120 LTV margin ÷ $40 CAC → breakeven ROAS 3.0; set tROAS 3.5–4.0 to protect profit. In Google Ads, enter that ta

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Trial-to-paid

is the conversion from a free trial to a paid subscription. Performance teams often treat it as the first "real" revenue moment, but ad platforms usually learn earlier on install or

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Trial churn

What is trial churn? Trial churn is when a user cancels during the free trial period before the first payment. The trial start often counts as a conversion in a

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TikTok Events API

What is TikTok Events API? TikTok Events API is TikTok's server-side channel for sending web and app conversion events from your systems into TikTok Ads. It com

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Subscription churn

is when a paid subscriber cancels or lapses, ending recurring revenue. Ad platforms often learned earlier on install,

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Subscribe-and-save gaming

is when a shopper enrolls in a subscription program to capture the first-order discount or free shipping, then cancels before the second shipment. The initial subscription signup counts as a high-value conversion in ad p

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SKAdNetwork

is Apple's privacy-centric framework for attributing iOS app installs and in-app events to ad networks without per-user tracking. Ad networks receive

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Signal transformation

What is signal transformation? Signal transformation is mapping raw predictions into platform-ready value magnitudes and timing . Models output scores; platform

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Signal quality

What is signal quality? Signal quality is the accuracy, completeness, and timeliness of events used for bidding. High-quality signals send the right value, to t

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Signal orchestration

What is signal orchestration? Signal orchestration is the coordinated system that turns first-party data into platform-learning inputs and proves they work: mod

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Signal health

What is signal health? Signal health is the overall quality of conversion and value data reaching ad platforms . It combines signal quality (accuracy, completen

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Signal engineering

What is signal engineering? Signal engineering is the end-to-end discipline of designing, building, and maintaining the events and values ad platforms learn fro

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Server-side tracking

sends conversion and customer events from your backend (or tag server) to ad platforms and analytics tools, instead of relying only on browser pixels or SDK callbacks. It improves capture when cookies break, ad blockers

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Sample and GWP abuse

is when shoppers exploit free samples, trial sizes, or gift-with-purchase (GWP) offers to trigger a conversion without intent to buy full-price product again. The qualifying purchase or signup counts as a positive event

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Return on ad spend (ROAS)

is revenue attributed to advertising divided by ad spend. A ROAS of 4.0 means $4 of attributed revenue per $1 spent. The number changes depending on whether you use

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Return abuse

is systematic exploitation of a retailer's return policy: wearing or using products without intent to keep them, returning empty boxes or swapped items, or cycling purchases for resale. The initial purchase still counts

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Retention rate

is the share of users or customers still active (or still paying) after a defined period: D7, D30, month two, etc. It is a core building block of

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Repurchase rate

is the share of customers who make at least one additional purchase after their first order within a defined time window (for example, D90 or 12 months). It is a core

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Renewal rate

is the share of subscribers who renew at billing period end (or equivalent continuation). Ad platforms often optimized earlier on install,

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Regimen dropout

is when a customer abandons a intended replenishment routine (skincare stack, supplement protocol, pet food cadence) after the first kit or bottle. The first purchase counts as a strong conversion in ad platforms. The mi

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Refund rate

is the share of orders or revenue returned after purchase, usually measured over a defined post-order window. Refunds are a

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Real-time bidding (RTB)

is auction-based ad buying where demand-side platforms bid on individual ad impressions in milliseconds, using audience, context, and performance data to set prices. Social and search platforms use RTB-style auctions und

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Proxy metric

What is proxy metric? A proxy metric is a short-window conversion or value signal ad platforms use to learn when true economic outcomes are not yet visible. Exa

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Promo abuse

is when shoppers game discounts, coupon codes, referral credits, or stackable offers to maximize short-term savings without intent to build a profitable relationship. Conversions and order value fire in ad platforms at c

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Predictive events

What is predictive events? Predictive events are conversion or value events sent to ad platforms before the full business outcome is known , carrying modeled sc

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Prediction horizon

What is prediction horizon? Prediction horizon is how far ahead a model forecasts value (D7, D30, D90, lifetime, etc.). Horizon choice trades early signal usabi

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Predicted value optimization (PVO)

is optimizing ad delivery and bidding for

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Postback

What is postback? A postback is a server-to-server callback that carries attribution or conversion data from a mobile measurement partner (MMP) or ad network to

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Platform ROAS

is return on ad spend as reported inside an ad platform (Meta, Google Ads, TikTok, etc.): platform-attributed conversion value divided by platform-reported spend. It reflects that network's attribution window, match rate

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Platform learning

What is platform learning? Platform learning is how ad algorithms update delivery (audience, bid, placement, creative rotation) based on the conversion and valu

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Pilot

What is pilot? A pilot is a limited, time-bound rollout of a new capability (such as user-level pLTV , enhanced Conversion API values, or value-based bidding )

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Payback period

is the time it takes for a customer's cumulative

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Pantry loading

is when a customer buys in bulk during a promotion or flash sale, then goes silent for months before the next order. The large first purchase counts as a high-value conversion in ad platforms. The long gap before

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One-and-done buyers

are customers who complete one purchase (or one paid conversion) and never buy again within your measurement window. The first order fires as a positive conversion in ad platforms; the absence of repeat revenue only beco

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Omnichannel online-offline split

is when digital ads influence or drive in-store purchases that ad platforms cannot attribute to the online click or view. Online campaigns look underperforming or overperforming depending on which slice you trust. True c

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Non-Purchase Value Optimization (NPVO)

is industry shorthand for running Meta

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New vs repeat customers

tracks the mix between first-time purchasers and returning buyers in revenue, orders, or acquisition reporting. Prospecting campaigns optimize on

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Net revenue (signal)

is the value you send to ad platforms (or score in pLTV models) after subtracting returns, refunds, discounts, and sometimes fees from gross purchase revenue. Gross order value fires at checkout; net revenue reflects wha

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Net revenue retention

measures how much recurring revenue you retain and expand from an existing customer cohort over a period, after churn and contraction, usually expressed as a percentage of starting ARR or MRR. NRR above 100% means expans

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Multi-touch attribution (MTA)

Multi-touch attribution (MTA) is a method for

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Model drift

What is model drift? Model drift is when predictor performance degrades as customer mix or behavior shifts . Promo calendars, catalog changes, privacy updates,

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Mobile measurement partner (MMP)

What is mobile measurement partner (MMP)? A mobile measurement partner (MMP) is a third-party platform (for example, AppsFlyer , Adjust , or Singular ) that att

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Media mix modeling (MMM)

Media mix modeling (MMM) is a statistical approach that estimates how

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Maturity window

What is maturity window? A maturity window is the agreed time period after acquisition or conversion when cohort outcomes (repeat purchase, subscription renewal

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Match rate

Divide matched server events by total server events sent in a period. Example: 8,000 matched purchases ÷ 10,000 purchase events sent to the ad network → 80% match rate. Definitions vary by network; use each platform's di

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Lifetime value (LTV) reporting

What is lifetime value (LTV) reporting? LTV reporting is how teams measure and report customer lifetime value (LTV) after users are acquired: by cohort, channel

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Lookalike audience

What is lookalike audience? A lookalike audience (Meta Lookalike, Google similar segments, TikTok lookalike) is a targeting audience the platform builds to rese

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Learning phase

What is learning phase? Learning phase is the period after significant campaign or signal changes when an ad platform's delivery is unstable while its algorithm

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Leading indicators

What is leading indicators? Leading indicators are early behaviors that correlate with long-term value before revenue matures . Session depth, feature adoption,

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Incrementality

asks whether a campaign, bid strategy, or value signal caused

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Incremental conversions

Subtract control-group conversions (scaled) from treatment-group conversions. Example: treatment 1,200 purchases, holdout 1,050 → incremental conversions = 150. Express as lift %: 150 ÷ 1,050 ≈ 14.3% incremental lift.

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Google Ads Experiments

What is Google Ads Experiments? Google Ads Experiments is Google's in-platform split-test framework : you duplicate a campaign (or apply a draft change) and Goo

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Google Ads Conversion API

What is Google Ads Conversion API? The Google Ads Conversion API is Google's server-side path for sending web conversion and value data into Google Ads through

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Gift purchaser

is a buyer who purchases for someone else (holiday gift, care package, corporate gifting) and is not the end user of the product. The gift order counts as a conversion and positive value in ad platforms. Future

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Geo experiment

What is geo experiment? A geo experiment splits geographic markets into test and control groups to measure incremental lift from a marketing change (budget, cha

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GA4 Measurement Protocol

GA4 Measurement Protocol is Google's server-side API for sending events into

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Friendly fraud

is when a customer who received the product files a chargeback or payment dispute claiming non-receipt, unauthorized purchase, or item-not-as-described without legitimate cause. The order still counted as a conversion wi

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Free trial

is a period of no-charge access before paid billing begins. Performance teams often optimize on trial start as the conversion event because it fires inside the ad platform

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Fit and expectation returns

are refunds driven by honest mismatch: wrong size, poor fit, quality below expectations, or product unlike the photos and copy. The purchase still counts as a conversion with positive value in ad platforms;

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Feedback loop (pLTV)

What is feedback loop (pLTV)? A feedback loop (pLTV) is when bidding changes who you acquire, which changes the data your model learns from . Value-based biddin

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Exploration vs exploitation

describes the tradeoff between trying new options (exploration) and scaling known winners (exploitation). In performance marketing, platforms explore audiences and bids during

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Experiment readout

What is experiment readout? An experiment readout is the structured analysis and decision phase after a test ends (or reaches predefined checkpoints). Teams com

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Event Match Quality (EMQ)

Event Match Quality (EMQ) is Meta's 0–10 score for how effectively customer information on

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Early value users

What is early value users? Early value users are users who show high predicted or realized value soon after acquisition . They may pay quickly, engage deeply, o

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Early churn

is when a paid subscriber cancels within the first 30–90 days after converting. The

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Drop culture

is the retail pattern of limited-quantity or time-boxed releases that spike demand, urgency, and first-order conversions. Drop campaigns often deliver exceptional short-window ROAS and platform efficiency. Repeat value f

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Discount conditioning

is when customers learn to purchase only during promotions, waiting for codes, sales, or cart offers instead of buying at full margin. First promo conversions still fire as positive value in ad platforms; repeat revenue

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Delayed conversions

What is delayed conversions? Delayed conversions are outcomes that arrive after the platform can still learn from them for delivery and targeting . Repeat purch

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Data readiness

What is data readiness? Data readiness is whether your first-party data and data warehouse history are complete, consistent, and timely enough to model predicte

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Leakage (data)

in pLTV modeling means training features or labels include information that would not exist at the moment you score a user and send a value to an ad platform. Classic examples: future refunds, full subscription tenure, r

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Customer acquisition cost (CAC)

Divide total sales and marketing spend by new customers acquired in the same period. Example: $500,000 fully loaded S&M ÷ 2,500 new customers → CAC = $200.

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Custom conversion

What is custom conversion? A custom conversion is a platform-defined conversion rule built from standard events, URL rules, or parameters (for example, purchase

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Cost per install (CPI)

is ad spend divided by attributed app installs over a period. It is the default efficiency metric for mobile user acquisition (UA) when platforms optimize toward install volume or install-linked events. CPI is a

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Cost per acquisition (CPA)

is average ad spend required to generate one converting user or customer: total spend divided by attributed conversions. Platforms report CPA on the conversion event you optimize for (purchase, lead, trial start, install

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Conversion signal loss

Conversion signal loss is the gap between conversions that happen in your business and conversions ad platforms can

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Conversion optimization

has two layers. On ad platforms, it is bidding that maximizes

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Conversion API

What is Conversion API? Conversion API is the generic industry term for server-side interfaces that send conversion and value events from your website, app, or

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Contribution margin

Revenue minus variable costs directly tied to the order (COGS, shipping, payment fees, returns). Example: $80 order − $35 COGS − $8 fulfillment − $2 fees → $35 contribution margin. Use this margin in payback and LTV:CAC,

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Consent mode

(Google Consent Mode v2) adjusts how Google tags and partner integrations behave based on user

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Cohort maturity

Cohort maturity is the time an acquisition cohort needs before its revenue, retention, refund, and repeat-purchase patterns are stable enough to judge lifetime value and experiment outcomes. Performance teams use a

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Causal modeling (pLTV)

What is causal modeling (pLTV)? Causal modeling asks whether a value signal or bidding change actually caused better outcomes, or whether correlated users would

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Buyer's remorse returns

are refunds driven by regret after an impulse purchase: the customer bought quickly, then reversed the decision before or after delivery. The order still counted as a conversion with positive value in ad platforms;

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Blended ROAS

is return on ad spend calculated across multiple channels, campaigns, or an internal attribution model, rather than inside a single ad platform's reporting. It answers how efficiently total paid media spend converts to r

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Bare-SKU attach miss

is when customers buy only the hero SKU (razor handle, coffee machine, core device) without the profitable attachments, refills, or consumables the business model assumes. The hero purchase counts as a conversion in ad p

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Value optimization

on Meta is the ad set optimization goal

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Attribution window

What is attribution window? An attribution window is the lookback period an ad platform or analytics system uses to credit a conversion to a prior ad touchpoint

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Attribution data

is the click, view, and campaign metadata that links an ad exposure to downstream events in your product or store: GCLID, gbraid/wbraid, fbc/fbp, ttclid, MMP click IDs, UTM parameters, and network campaign or ad set IDs.

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App Tracking Transparency (ATT)

is Apple's iOS framework that requires user opt-in before apps can access the Identifier for Advertisers (IDFA) for cross-app tracking. Low opt-in rates drive

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Anchor event

What is anchor event? An anchor event is the first meaningful user action you use to clock a user-level pLTV score and send a value signal to ad platforms: inst

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Ad fatigue

is the decline in click-through rate, conversion rate, or efficiency as the same audience sees the same creative repeatedly. Short-window metrics look fine until frequency rises and performance decays. Platforms may keep

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Signal volume

Signal volume is the number of conversion or value events an ad platform receives in a period that it can use for optimization and learning. For

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