Metrics, ROI and Analytics Terms: A Glossary

Part of the Five Stones knowledge base - 34 terms on metrics, ROI and analytics, in plain English.

Part of the Five Stones knowledge base - 34 terms on metrics, roi and analytics, in plain English.

ROI (Return on Investment) - How much value or profit an investment (in this context, usually a tool or AI system) generates relative to what it cost.
Time-to-value - How quickly a new system or tool starts delivering a measurable benefit after it is set up.
Payback period - How long it takes for the savings or extra revenue from an investment to cover its own cost.
Cost savings analysis - Calculating exactly how much money an automation or AI tool saves, usually in staff hours multiplied by hourly cost.
Productivity gain - A measurable increase in output or efficiency, typically expressed as more done in the same time, or the same done in less time.
Efficiency ratio - A general measure of how much output a business gets for a given amount of input (time, cost, staff).
Utilisation rate - The percentage of available capacity (staff time, equipment, appointment slots) actually being used productively.
Baseline metric - The measurement of how things worked before a change, needed to prove whether a new tool or process actually improved anything.
Benchmark - A reference point, often an industry average, used to judge whether a business's own metric is good, average or poor.
Attribution (marketing attribution) - Working out which specific marketing activity or channel actually caused a sale, so budget can be spent on what works.
Cohort analysis - Comparing groups of customers who joined or acted at the same time, to see how their behaviour changes over that shared timeline.
Funnel analytics - Measuring how many people drop off at each stage of a sales or marketing funnel, to find where the biggest losses happen.
Dashboard reporting - Automatically pulling live metrics into a visual summary, rather than manually compiling numbers into a report.
Real-time reporting - Metrics updated as events happen, rather than in a delayed daily or weekly summary.
A/B test significance - Whether a difference seen between two tested versions is a real, reliable effect or could just be random chance.
Churn rate - The percentage of customers lost over a given period, a key health metric for any subscription or repeat-visit business.
Response rate - The percentage of people who reply to an outreach message, survey or campaign.
Engagement rate - How actively an audience interacts with content (likes, replies, clicks) relative to how many people saw it.
Cost per lead (CPL) - The average cost of generating a single new lead through a given marketing activity.
Marketing qualified lead (MQL) - A lead judged, usually by engagement level, to be a good fit for marketing follow-up, but not yet ready for a sales conversation.
Sales qualified lead (SQL) - A lead judged ready for direct sales contact, having already shown clear buying intent.
Win rate - The percentage of sales opportunities that are successfully closed, out of all opportunities pursued.
Forecast accuracy - How closely a business's predictions (of sales, demand, or cash flow) match what actually happens.
Data visualisation - Presenting data as charts and graphs so patterns and outliers are immediately obvious, rather than buried in a spreadsheet.
Anomaly detection - AI automatically flagging a data point that looks unusual compared to the normal pattern, such as a sudden spike in complaints.
AI adoption rate - The proportion of a business (or an economy's businesses) actively using AI tools in real operations, one of the indicators policymakers increasingly track instead of just funding disbursed.
Scale-up rate - The proportion of businesses that move from a small pilot of a tool or process to using it fully across the business.
Time saved (hours) - The most direct, ownable metric for most SME automation projects: literal hours no longer spent on a manual task each week.
Error rate reduction - The measurable drop in mistakes (in data entry, invoicing, scheduling) after automating a previously manual process.
Customer acquisition cost (CAC) - The average total cost of gaining one new paying customer, including marketing, sales and tooling spend.
Gross retention - The percentage of existing revenue kept over a period, ignoring any new revenue gained from upsells or new customers.
Net retention - The percentage of existing revenue kept and grown over a period, including upsells, expressed as a single combined figure.
Run rate - A business's current performance (usually revenue) projected forward over a full year, based on a shorter recent period.
Year-over-year (YoY) growth - How much a metric has grown or shrunk compared to the same period one year earlier, used to account for seasonality.

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