Full-Time Equivalent (FTE)
A unit that expresses workload or capacity as a number of full-time people, used in staffing plans, statistics and AI ROI models.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
A conversion attributed to an ad impression when the person did not click or otherwise interact with that ad before converting within a defined window.
The metric can reveal delayed influence from display or video exposure that click-only reporting misses, informing budget, creative, and reach decisions.
A display campaign reports purchases occurring within one day of a viewable impression, excludes users who clicked another ad, and compares results with an incrementality test before increasing spend.
Attribution does not prove the impression caused the conversion. Results are sensitive to window length, cross-device matching, cookie restrictions, platform rules, overlap, and conversions that would have occurred anyway.
Advertising platforms match an eligible impression to a later conversion and apply platform-specific windows, viewability rules, identity signals, exclusions, and attribution hierarchy. View-through conversions are normally reported separately from click-through conversions and may differ across platforms.
Data Engineering
Google Ads Help — About view-through conversions — https://support.google.com/google-ads/answer/16542520; Google Ads Help — Understand your conversion tracking data — https://support.google.com/google-ads/answer/6270625
A unit that expresses workload or capacity as a number of full-time people, used in staffing plans, statistics and AI ROI models.
An engagement metric showing how far visitors scroll down a page, often tracked at 25%, 50%, 75% and 90% thresholds in analytics tools.
A standardized customer loyalty benchmark measuring customer willingness to recommend a company's offerings to peers.
A proprietary Moz SEO score predicting the ranking strength and link equity potential of an individual web URL.
Win rate measures how many closed opportunities a sales team wins, calculated as won deals divided by won plus lost deals, and supports forecasting.