Bounce Rate
The percentage of visits where someone leaves after viewing only one page.
(single-page visits / total visits) x 100
Marketing glossary
This glossary is for newer marketers who want quick, clear explanations of common paid media, analytics, and performance terms.
Core formulas
These are some of the most common formulas used in reporting, budgeting, and campaign performance reviews.
The percentage of visits where someone leaves after viewing only one page.
(single-page visits / total visits) x 100
The average cost to gain one new customer or conversion.
total cost / number of acquisitions
The amount paid for each ad click.
total cost / total clicks
The average amount spent to generate one lead.
total campaign cost / total leads
The cost to serve one thousand ad impressions.
total cost / (impressions / 1,000)
The percentage of people who clicked after seeing an ad.
(clicks / impressions) x 100
The revenue generated for each dollar spent on advertising.
revenue from ads / ad cost
A measure of profitability based on what you earned versus what you spent.
((net profit - cost) / cost) x 100
Common terms
These short definitions help newer marketers understand the language used in campaign planning, targeting, analytics, and reporting.
A marketplace where ad impressions are bought and sold, often in real time.
A value used by ad platforms to decide how high your ad appears compared to other advertisers.
Technology that delivers ads and tracks performance like impressions and clicks.
A model where partners promote a product or service and earn based on results they drive.
A way of assigning credit to different touchpoints in the customer journey.
Showing ads to a specific group based on shared traits like interests, location, or behavior.
Using past online actions to help match ads to the right users.
A system for collecting and organizing audience data for targeting and campaign planning.
Scheduling ads to run only at certain times or days.
Software advertisers use to buy digital ad inventory across multiple sources.
Limiting how often the same person sees the same ad in a certain time period.
The percentage of possible impressions your ads actually received.
Using data and statistical patterns to forecast what may happen next.
An invitation-only ad marketplace with a selected group of publishers or placements.
Automated ad buying that uses data and software to place media more efficiently.