Drill the terms
Read the term. Say the definition out loud before you flip, then be honest. A card you know moves up a box and comes back less often. A card you miss goes back to the first box. Ten minutes a day beats an hour on Sunday. Your boxes stay in this browser only.
Every term, A to Z
- Action title
- A slide title written as the finding, such as "Tasks grew 34%", not a topic label. Stage 11
- Activation
- The first use of the core feature that shows an install is real. Stage 9
- Agglomerative clustering
- Grouping by repeatedly merging the two closest groups. Stage 7
- Aha moment
- The first time a user feels the product's value, measured through a proxy action. Stage 4
- Alert fatigue
- People ignoring alerts because there are too many of them. Stage 2
- Anchoring
- The pull that a first-seen number exerts on later price judgments. Stage 12
- ASC 606
- The US accounting standard that says when a company may count customer contract money as revenue. Stage 5
- Authorization code flow
- The OAuth flow where the app gets a one-time code through the browser and swaps it for tokens on the server. Stage 9
- Battle card
- A one-page guide for handling one objection or competitor. Stage 7
- Benchmark
- A median or percentile from a sample, only meaningful with its sample and definition. Stage 12
- Bootstrap interval
- A range found by redrawing your own data with replacement many times, which shows how noisy a number is. Stage 10
- CDX server
- The Wayback Machine index that lists every capture of a URL with timestamps. Stage 12
- Censoring
- A customer still active today whose final lifetime is not yet known. Stage 8
- Charm pricing
- Ending prices in 9, such as $19.99, to raise demand, supported by field tests on retail items. Stage 12
- Chunking
- Cutting a transcript into overlapping pieces for search. Stage 7
- Claygent
- Clay's AI agent that takes inputs, follows your instructions and writes a structured output. Stage 3
- Cohen's kappa
- A score of how much two coders agree after removing chance. Stage 10
- Confounder
- A third factor, such as company size, that drives both cause and outcome and fakes a link. Stage 10
- Contract liability
- The accounting record for cash received before the service is delivered, also called deferred revenue. Stage 5
- Conversation intelligence
- Software that records, transcribes and analyzes sales calls. Stage 7
- Cooldown
- A rule that blocks repeat alerts for the same account for a set time. Stage 2
- Cosine similarity
- A score for how closely two vectors point the same way. Stage 7
- Credit burn-down
- Spending a prepaid balance as usage happens, in a fixed order, until it reaches zero. Stage 5
- Custom object
- A table you define inside the CRM to store your own concept, such as a billing account. Stage 1
- Dark social
- Sharing through private channels that carries no referrer, so analytics show it as direct. Stage 10
- Data leakage
- Using information in training or features that would not exist at prediction time. Stage 8
- dbt model
- A SQL select statement that dbt materializes as a table or view. Stage 1
- Deanonymization
- Working out which company or person is behind anonymous website traffic. Stage 2
- Debouncing
- Making sure many triggering events cause only one alert. Stage 4
- Decoy effect
- A lab result in which adding a clearly worse option shifts choices toward the option it resembles. Stage 12
- DKIM
- A cryptographic signature on each message, checked against a public key in DNS. Stage 3
- DMARC
- A DNS policy that says what to do when SPF and DKIM fail to align, and where to send reports. Stage 3
- DRQL
- DevRel Qualified Lead: anyone from the community who can add value to the company. Stage 10
- EBR
- Executive business review, a less frequent meeting for executives that focuses on business outcomes. Stage 11
- ELT
- Load raw data into the warehouse first, then transform it there with SQL. Stage 1
- Embedding
- A list of numbers that places text in space by meaning. Stage 7
- Expansion
- Extra revenue from an existing customer through seats, tiers, usage or new products. Stage 8
- Extremeness aversion
- The lab finding that the middle option in a set gains appeal, the basis of good-better-best ladders. Stage 12
- First-party intent
- Intent collected on your own website, app or email. Stage 2
- First-touch and last-touch
- Models that give all credit to the earliest or the latest recorded touch. Stage 6
- Gross revenue retention (GRR)
- The share of starting revenue kept after churn and contraction, capped at 100%. Stage 8
- GRR
- Gross revenue retention: the share of starting recurring revenue kept, ignoring any expansion. Stage 12
- GTM (go-to-market)
- Everything a company does to find, win and keep customers. Stage 1
- HDYHAU
- Short for "How did you hear about us?", the open question behind self-reported attribution. Stage 10
- Health score
- A number for how likely an account is to renew, from rules or a model. Stage 8
- Holdout test
- An experiment that withholds an activity from a random group to measure lift. Stage 6
- Human in the loop
- A person approves, edits or rejects each AI draft before anything is sent. Stage 3
- Hybrid pricing
- A recurring fee combined with usage, credits or overages. Stage 5
- ICP
- Ideal customer profile, the description of companies and people most likely to buy. Stage 3
- ICP
- Ideal customer profile: a description of the companies you most want as customers. Stage 4
- Idempotency
- The property that repeating an operation has the same effect as doing it once. Stage 1
- Idempotency
- A property of a process that gives the same result whether you run the same input once or many times. Stage 4
- Idempotency key
- A unique ID sent with an event so a repeat of the same event is ignored. Stage 5
- Idempotent
- Safe to run twice, because the second run changes nothing. Stage 2
- Identity resolution
- Deciding which records across systems are the same person or company. Stage 1
- Incrementality
- Conversions caused by an activity beyond those that would have happened anyway. Stage 6
- Influenced pipeline
- Pipeline credited to every activity that touched the account, so channel totals overlap. Stage 6
- Integration-led growth
- A go-to-market motion where connecting to the tools buyers already use drives discovery, trust and retention. Stage 9
- Lift
- The gap in outcome rate between two groups, such as word-of-mouth accounts versus other accounts. Stage 10
- Loaded hourly cost
- A wage plus the employer's cost of benefits and taxes, used to price saved time. Stage 11
- Logo churn
- The share of customers, counted by number, that left in a period. Stage 8
- Marketplace review
- The vendor's check of security, scopes, listing and user experience before an app can be listed. Stage 9
- Meter
- A rule that turns a stream of events into one number per customer per period. Stage 5
- Mirror sync
- A sync that also removes destination records whose source rows disappeared. Stage 1
- MQL
- Marketing qualified lead: a lead qualified by marketing activity such as a form fill. Stage 4
- MRR
- Monthly recurring revenue, which only means something once its rules are written down. Stage 1
- Net revenue retention (NRR)
- Revenue now from last year's customers, including expansion, divided by their revenue a year ago. Stage 8
- Non-response bias
- The error from the people who answer a survey differing from those who skip it. Stage 10
- NRR
- Net revenue retention: the share of starting recurring revenue kept after churn and expansion. Stage 12
- Outcome-based pricing
- Charging when a defined result occurs, such as one resolved support conversation. Stage 5
- Overage
- Usage billed at a list rate after included allowance or prepaid credits run out. Stage 5
- Payback period
- The time it takes for monthly net benefit to repay the upfront cost. Stage 11
- PKCE
- An add-on where the app sends a hash first and proves it holds the original secret at token exchange. Stage 9
- Placeholder token
- A marker such as {hours_saved} that the model writes and code replaces with a real number. Stage 11
- PLG
- Product-led growth: a go-to-market motion where the product drives acquisition, conversion and expansion. Stage 4
- PQA
- Product qualified account: an account where enough users show PQL behavior. Stage 4
- PQL
- Product qualified lead: a user or account qualified by in-product behavior plus fit and intent. Stage 4
- Precision at k
- The share of the top k flagged accounts that truly churn. Stage 8
- Prompt injection
- Instructions hidden in scraped content that try to change what the model does. Stage 3
- QBR
- Quarterly business review, a recurring meeting where a vendor reviews progress against goals with a customer. Stage 11
- Recall bias
- The error from people forgetting or misremembering how they found you. Stage 10
- Refresh token
- A longer-lived credential that gets a new access token when the old one expires. Stage 9
- Removal effect
- In a Markov model, the drop in conversion probability when one channel is removed from all journeys. Stage 6
- Retrieval-augmented generation
- Fetching trusted text first so the model answers from it. Stage 7
- Reverse ETL
- Copying modeled warehouse data back into operational tools such as the CRM. Stage 1
- Reverse IP lookup
- Matching a visitor's IP address to the organization that owns that address range. Stage 2
- Right-censoring
- Missing outcomes for recent cohorts that have not had time to convert. Stage 6
- Risk adjustment
- Shrinking estimated benefits and raising estimated costs to allow for uncertainty. Stage 11
- Rolling window
- A time window that moves with each event, such as the last 7 days up to now. Stage 2
- Scope
- A named permission, such as commands, that limits what an access token can do. Stage 9
- SDR
- Sales development representative, the person who finds prospects, sends the first message and books meetings. Stage 3
- Second-party intent
- Another company's first-party data, such as review-site activity, shared or sold to you. Stage 2
- Self-reported attribution
- Asking the buyer how they found you and using the answer as an attribution signal. Stage 10
- Shapley value
- A channel's average marginal contribution across every order channels could join. Stage 6
- Signal
- A recorded event that suggests an account may be ready to buy. Stage 2
- Snapshot date
- The date when a prediction is made, so only earlier data may be used. Stage 8
- Sourced pipeline
- Pipeline credited to the activity that created the opportunity. Stage 6
- Speaker diarization
- Labeling which speaker said each part of a recording. Stage 7
- Spend cap
- A limit, enforced before the work runs, on how much a customer can consume in a period. Stage 5
- SPF
- A DNS record listing which servers may send mail for your domain. Stage 3
- Structured output
- A model reply forced to match a JSON Schema so code can use it without parsing free text. Stage 3
- Structured output
- A model reply forced to match a JSON schema you define. Stage 7
- Structured output
- A model reply forced to match a JSON schema. Stage 11
- Surge score
- A vendor score comparing an account's recent topic reading with its own earlier baseline. Stage 2
- Swap test
- Replace the prospect's name with another name; if the email still reads fine, it is not personalized. Stage 3
- Teardown
- A written analysis of how one company sells, built from dated, checkable evidence. Stage 12
- Template merge
- Copying a slide template and replacing tags like {{name}} with real values. Stage 11
- Third-party intent
- Topic-reading data pooled across many publisher sites by a vendor. Stage 2
- Tracking plan
- The written list of events, names, properties and owners a team agrees to send. Stage 4
- TTFHW
- Time to first hello world: how long a new developer takes to reach first successful use. Stage 10
- Usage-based pricing (UBP)
- A model where the customer pays for units consumed, such as tokens, runs or API calls. Stage 5
- UTM parameters
- Link tags such as utm_source and utm_medium that tell analytics where a visit came from. Stage 6
- Value metric
- The unit you bill, chosen so the bill grows when the customer gets more value. Stage 5
- Value metric
- The unit a vendor bills, such as seats, credits or tokens, chosen so the bill grows with customer value. Stage 12
- Value realization
- Showing that the customer reached the result they bought the product for, against an agreed baseline. Stage 11
- Vector database
- A store that quickly finds the vectors nearest a query. Stage 7
- Warehouse
- A database built for large analytical queries, such as Snowflake, BigQuery or DuckDB. Stage 1
- Waterfall enrichment
- Asking data providers one after another and stopping at the first that returns a result. Stage 3
- Webhook
- An HTTP request a vendor sends to your server when an event happens. Stage 1
- Zap template
- A pre-built Zapier workflow that users switch on in a few clicks, available only for public integrations. Stage 9
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