Activation
The moment a new user or customer first gets the value they signed up for. In SaaS it is the step that best predicts whether a trial converts, so it is defined in product terms and measured weekly.
Glossary
Plain-English definitions of the revenue terms that decide budget: CAC payback, pipeline coverage, MQL and SQL, attribution and more.
A–Z
The moment a new user or customer first gets the value they signed up for. In SaaS it is the step that best predicts whether a trial converts, so it is defined in product terms and measured weekly.
The average yearly value of a contract, excluding one-off fees. ACV decides how much you can afford to spend acquiring a customer and which channels make sense at all.
Recurring revenue normalised to a year: monthly recurring revenue times twelve. It is the headline number for SaaS growth and the base most marketing targets are set from.
How credit for a deal is shared between the touches that led to it. The model you choose (first touch, last touch or multi-touch) decides which channels look profitable, so agree it before you set budgets.
The group of people who approve a B2B purchase: user, budget holder, technical evaluator and sign-off. Marketing that reaches only one of them stalls deals later.
Total sales and marketing cost in a period divided by the number of new customers won in it. Include salaries and tools, not just ad spend, or the number flatters the channel.
How many months of gross margin from a new customer it takes to recover what it cost to acquire them. Under twelve months is healthy for most B2B SaaS; over twenty-four needs a reason.
The share of customers or revenue lost in a period. Revenue churn matters more than logo churn: losing one large account can outweigh ten small wins.
The share of opportunities that become customers. Track it by source: a channel with cheap leads and a poor close rate is usually the most expensive one.
A group of customers or leads that started in the same period. Comparing cohorts shows whether retention and conversion are improving, which blended averages hide.
The share of people who move from one funnel stage to the next. Always state both stages (visit to lead, lead to opportunity) or the number means nothing.
Recording which actions count as success (a form, a booked call, a trial) and sending them to your ad platforms and analytics. Without it, bidding optimises for clicks.
The system of record for contacts, companies and deals, such as HubSpot or Salesforce. If the CRM is wrong, every report built on it is wrong.
Creating and capturing buying intent so it turns into qualified pipeline. It covers positioning, channels, conversion and the handoff to sales, and it is measured in pipeline rather than leads.
New revenue from existing customers through upgrades, more seats or cross-sell. It is usually the cheapest growth available once the core product is retaining well.
Data you collect directly from your own visitors and customers, with their consent. It is the reliable base for targeting and measurement as third-party cookies disappear.
An evidence-based projection of revenue for the coming periods, built from pipeline, stage conversion and timing. A forecast the board trusts is the point of the whole revenue system.
The stages a buyer passes through from first contact to customer. Useful only when each stage has a definition sales and marketing share, and a conversion rate you track.
Google's event-based analytics platform. Configure key events and link it to Google Ads and your CRM, or it reports traffic without telling you what it is worth.
A container for analytics and advertising tags, so they can be changed without a code release. It needs a consent setup and an owner, or it fills with tags nobody can explain.
The type of company that buys fastest, stays longest and pays the most, described in firmographic and situational terms. Targeting, messaging and lead scoring all start from it.
Ranking leads by fit and intent so sales works the best ones first. It only helps when the scores are checked against what actually closed.
Where a contact is in the buying process: subscriber, lead, MQL, SQL, opportunity, customer. In HubSpot it is a single field that marketing and sales must agree on.
The gross margin a customer generates over the whole relationship. Compared with CAC, it shows whether growth is creating value or buying revenue at a loss.
Lifetime value divided by acquisition cost. Around three to one is a common target; much higher can mean you are under-investing in growth.
A lead that meets an agreed fit and intent threshold and is ready for sales follow-up. If sales rejects most MQLs, the definition is wrong, not the sales team.
Predictable revenue billed each month from subscriptions. Tracking new, expansion and churned MRR separately shows where growth is really coming from.
A search term you exclude so your ads do not show for it. In B2B paid search, the negative list often saves more budget than any bid change.
Revenue kept from existing customers over a year, including expansion and churn. Above 100% means the customer base grows on its own.
Sending CRM outcomes (qualified opportunity, closed deal) back to Google Ads or LinkedIn so bidding optimises for revenue rather than form fills.
A deal sales has qualified and is actively working, with a value and an expected close date. Opportunities, not leads, are the unit of pipeline.
Google's automated campaign type that runs across Search, YouTube, Display and more from one budget. It needs strong conversion signals; fed form fills, it finds more form fills.
The total value of open opportunities expected to close in a period. Qualified pipeline, not lead volume, is the number marketing should be held to.
Open pipeline divided by the revenue target for the period. Three times coverage is a common rule of thumb; the right number comes from your own close rate.
How quickly pipeline turns into revenue: number of opportunities times win rate times deal size, divided by cycle length. Improve any one term and revenue moves.
Who you are for, what you replace and why you win. Most acquisition cost problems are positioning problems that show up in the ad account.
A trial or free user whose product usage signals buying intent. For product-led SaaS it is often a better sales trigger than an MQL.
Google Ads' rating of keyword, ad and landing page relevance. A higher score lowers cost per click; it improves with tighter ad groups and pages that match the search.
Showing ads to people who have already visited your site or engaged with you. It works best with clear audiences and frequency caps, and it needs consent.
The time from opportunity creation to closed deal. It sets how long a channel needs before you can judge it.
The agreed moment and method for passing a lead from marketing to sales, usually with a response-time commitment. Most lost pipeline leaks here.
A lead sales has accepted and confirmed is worth pursuing. The MQL-to-SQL rate is the clearest test of whether marketing and sales agree on quality.
What a searcher is trying to do: learn, compare or buy. Pages and ads that match intent convert; pages that chase volume do not.
The time between a lead's enquiry and the first meaningful reply. Minutes, not days, decide whether the lead is still interested.
The share of free trials that become paying customers. Activation, onboarding and pricing usually move it more than adding more trials.
Tags added to a link (source, medium, campaign) so analytics and the CRM can tell where a visit came from. Agree a naming convention, or the reports fragment.
The share of qualified opportunities won. Unlike close rate it ignores early disqualification, so it shows how well you compete once a real deal is on the table.
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