Google Ads
Google's advertising platform for campaigns across Search, Shopping, YouTube, Display, and other eligible inventory. Available formats and controls depend on campaign type, country, and account setup.
Which performance marketing, analytics, and GEO terms does UPLIFY explain?
The UPLIFY glossary explains 130 terms across Google Ads, Meta Ads, analytics, e-commerce, SEO, and GEO. Definitions separate the formula or feature from practical interpretation and link to primary documentation where platform behavior can change.
From Performance Max and the Conversions API to Wikidata and the Knowledge Graph. Each entry separates the basic definition from practical interpretation and its limits; use the primary-source links for platform features that can change.
Google's advertising platform for campaigns across Search, Shopping, YouTube, Display, and other eligible inventory. Available formats and controls depend on campaign type, country, and account setup.
Product ads built from Merchant Center feed data such as title, image, price, availability, and other attributes. Shopping inventory is available through Standard Shopping and retail Performance Max; the choice depends on the objective and required level of control.
Paid advertising across eligible Meta placements. A campaign combines an objective, audience signals, creative, budget, and measurement; specific capabilities depend on the account, country, and ad product.
A goal-based Google Ads campaign type that can serve across Google channels. It uses automated bidding, supplied assets, feed data, and audience signals; sound measurement and input quality remain critical.
Telegram's official advertising platform for sponsored messages and other available formats. Buying terms, placements, targeting, and minimum bids depend on the access route, region, and current platform rules.
TikTok's advertising platform for video, Spark, and other available formats. Website measurement can use TikTok Pixel and Events API; product availability varies by country and account.
Advantage+ Shopping is Meta’s automated e-commerce campaign type that optimizes audiences, placements, and delivery.
Bot Ads send users to a Telegram bot — useful for lead generation, registrations, consultations, or support.
Broad audience is a wide audience without strict targeting — the algorithm finds buyers itself.
Cart abandoners are users who added a product to the cart but did not complete the purchase.
Catalog Ads use a product catalog to automatically promote items without creating a separate video for each product.
Creative fatigue happens when an audience sees the same creative too often, causing weaker performance over time.
CRM Match allows targeting or excluding users based on a customer list in a privacy-safe way.
DPA (Dynamic Product Ads) automatically shows users products from the catalog they’re most likely to buy.
Intent-based traffic comes from users who are already searching for a topic, service, brand, or competitor.
The state or period in which an ad system gathers signals after launch or a material change. There is no universal duration; assess campaign status, conversion volume, conversion lag, and the scale of the change.
Lookalike is an audience similar to your existing customers or website visitors. Meta finds users with similar behaviour.
Prospecting means advertising to new cold audiences that have not interacted with the brand yet.
Retargeting means showing ads to people who already visited the website, viewed products, added to cart, or interacted with the brand.
Search Ads appear in Telegram search results based on keywords, topics, or intent.
Whitelist and blacklist are lists of channels where ads should either be shown or excluded.
A rule for distributing conversion credit across advertising interactions. Available models and reporting logic differ between GA4 and Google Ads, so always interpret the model together with the reporting source.
Google Cloud's data warehouse. GA4 can export events to BigQuery for SQL analysis, custom funnels, and joins with CRM or advertising data; export contents and limits depend on the property's configuration.
Meta's interface for sending events from a server, CRM, website, or other approved source. For web events, CAPI often complements Pixel and duplicate events must be deduplicated. It does not remove consent duties, platform rules, or measurement limits.
The current generation of Google Analytics, using an event-based data model for websites and apps. Reporting quality depends on event setup, consent, identity, attribution, and other property settings.
A mechanism for conditional tag firing based on cookie consent. Default-denied sends no identified data but allows modeled conversions via ML aggregation. On uplify.agency: analytics_storage defaults to denied and switches to granted after a banner click.
A system for managing tags and variables on a website or app. It simplifies measurement deployment but does not remove the need for technical QA; tag behavior before and after consent depends on the implementation.
Meta's browser-side code for website events, optimization, and audience building. Signal coverage depends on browser, consent, and implementation; where appropriate, Pixel is paired with CAPI and deduplication.
CAPI dropout happens when server-side events stop sending or become unstable.
CAPI-ready means a website or system is prepared to send server-side events to Meta through Conversion API.
Cross-channel attribution analyzes how different channels (TikTok, Meta, Google, organic) contribute to a single purchase.
Cross-channel RCA analyzes how changes in one channel (e.g. Google Ads) may affect another channel or the overall business result.
Dead clicks are clicks on elements that do nothing and may indicate UX or design issues.
Dedup rate shows whether Meta correctly merges the same event from Pixel and CAPI instead of counting it twice.
Device / Placement breakdown splits results by device and placement (Instagram Reels, Facebook Feed, Stories, etc.) so you can see what actually performs.
Drill-down is the act of zooming from a high-level view down to a specific campaign, ad group, product, or ad to see what really moved.
E-commerce events are store actions such as product view, add to cart, checkout, purchase, and order value.
EMQ-score is Meta’s event match quality score. A higher score helps Meta match conversions to users more accurately.
Enhanced Conversions improve Google Ads tracking by sending more accurate conversion data in a privacy-safe way.
Events API sends conversion events from the server to TikTok and improves tracking accuracy.
Heatmaps show where users click, scroll, and pay attention on a page.
Microsoft Clarity shows user behaviour through session recordings, heatmaps, rage clicks, and other UX signals.
Pixel / CAPI parity checks whether browser events and server events are both being sent correctly and consistently.
Quick backs are fast returns to search after clicking — often a sign the page didn’t match intent or the UX is weak.
Rage clicks are repeated clicks in one place, often showing that a user expected something to work but it didn’t.
RCA means root cause analysis. It explains not just what dropped, but why it happened and what should be checked next.
Session recordings show how users move through a website and where they face friction.
TikTok Pixel is a website code that sends TikTok data about user actions: product views, add to cart, checkout, and purchase.
Transaction ID is a unique order number that helps avoid duplicate purchase tracking in analytics.
Average order value: order revenue divided by order count for the same period and accounting rules. Compare AOV across channels only after checking currency, refunds, and what the revenue field includes.
Spend divided by the number of defined conversions. CPA is meaningful only with the conversion definition, attribution window, data source, and period; an all-actions CPA is not directly comparable with purchase-only CPA.
Clicks divided by impressions. CTR helps assess interaction with an ad, but a normal level depends on channel, format, position, query, and audience; there is no universal quality threshold.
Customer value over a defined relationship period. It may be calculated from revenue, gross profit, or another agreed basis; comparisons with CAC require compatible definitions on both sides.
Revenue attributed to advertising divided by ad spend. ROAS describes revenue return, not net profit; break-even depends on margin, refunds, fees, repeat purchases, and what the revenue figure includes.
Conversion value is the value of a conversion (e.g. order amount). It lets you optimize for revenue, not just for purchases.
DRR is the share of ad spend in revenue. A DRR of 10% means that 10 UAH out of every 100 UAH of revenue was spent on advertising.
Hook Rate is the share of viewers a creative “hooks” in the first seconds — typically how many keep watching past 3 seconds.
UPLIFY Share measures the contribution of UPLIFY-managed channels to overall business results vs organic and other sources.
VTR (View-Through Rate) shows the share of viewers who actually watched the video — a quick read on whether the creative holds attention.
A Performance Max collection of related images, videos, headlines, descriptions, logos, and other eligible assets. Google combines them across inventory; the exact composition depends on campaign type and settings.
Optional Performance Max suggestions about audiences that may be relevant to the business. They are not hard targeting: the system may serve beyond the signal when it predicts that doing so supports the campaign goal.
A setting that limits serving on queries associated with selected brands. In Performance Max, an exclusion can affect Search and Shopping inventory and reduce reach, so the list should match the specific objective.
A family of Google Ads strategies that set auction-time bids toward a selected objective. Available strategies and the suitability of target CPA or target ROAS depend on campaign type, data, and business goal.
Asset completeness checks whether a campaign has enough headlines, descriptions, images, videos, and other assets for proper optimization.
Catch-all detection finds campaigns or asset groups that take too much budget without clear segmentation and may reduce efficiency.
The product feed management platform: attributes (id, title, price, availability, GTIN, brand...) — the foundation of Shopping and PMax. Goes through Google moderation: a disapproved feed = no ads. Has official integrations with Horoshop, Shopify, WooCommerce.
A Ukrainian SaaS platform for online stores (since 2014). Built-in integrations with GMC, Meta Catalog, Google Ads, Hotline, Prom. UPLIFY is a Horoshop Expert Partner: we build and launch stores ready for advertising from day one.
A structured file (XML / CSV / Sheets / JSON) with product data — the foundation of Google Shopping, PMax, Meta Catalog, TikTok VSA. Required attributes: id, title, description, image_link, price, availability, link, brand. Feed quality is the strongest predictor of PMax ROAS.
Attention cards highlight important changes, risks, or issues so the client and manager don’t have to search for them manually.
Audit log is a history of system actions: who changed what, when, and why — needed for transparency and security.
Business Manager is the Meta hub for managing ad accounts, pages, pixels, domains, catalogs, and permissions.
Catalog Manager is Meta’s tool for managing product catalogs used in dynamic ads.
The client dashboard shows campaign performance, analytics, Merchant Center status, reports, and key business metrics in one place.
Feed rules are processing rules that automatically transform or enrich product feed data before it reaches Merchant Center.
GTIN is a global product identifier that helps Google recognize products and match them correctly in Shopping ads.
Health-check is a regular review of account health, tracking, feeds, integrations, tokens, and key project systems.
Merchant Health shows the condition of your product catalog: approved products, disapprovals, warnings, and technical issues.
QA checklist is a pre-launch list of checks for pages, forms, analytics, payments, delivery, SEO, and technical settings.
SKU is an internal product code used to manage assortment, stock, feeds, and analytics.
TikTok Catalog Manager is the tool for uploading and managing the product catalog used in TikTok Ads.
UPLIFY OS is our internal agency operating system that brings together ad accounts, analytics, alerts, reports, finances, and AI recommendations.
Webhooks automatically send data between systems when an event happens, such as a purchase or status change.
XML / CSV processing means preparing product files for import into a store or advertising platform.
Optimizing content for citation by AI engines: ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini. Unlike SEO (SERP positions), the focus is entity recognition, schema readability, and citation-friendliness. A separate UPLIFY service.
An AI-generated Google Search overview for eligible queries that may include links to sources. Its format, frequency, and effect on visits vary; markup or optimization does not guarantee inclusion.
A JSON format for linked data, commonly used to express Schema.org markup. Google supports JSON-LD for many search features, but valid markup alone does not guarantee an enhanced result.
Google's system for representing entities and their relationships. Wikidata can be one source, but creating an entry or markup does not guarantee Knowledge Graph inclusion or a fixed processing time.
An AI search product that generates answers with source links. Whether a specific page appears depends on the query, indexing, and platform behavior, with no guaranteed timeline.
A shared vocabulary of types and properties for structured data, including Organization, Product, and Article. Markup helps systems interpret a page but does not guarantee a rich result or an AI citation.
A Wikimedia project of structured open data about entities. Every entity has a Q-ID. The canonical sameAs source for AI engines and Google Knowledge Graph. Submitting an organization to Wikidata is a key entity-recognition step in GEO.
AI visibility shows how easily your brand can be found, understood, and recommended by AI search systems.
Article / BlogPosting schema marks up articles, guides, and blog posts.
Brand mentions are references to your brand on other sites, in media, directories, ratings, or partner materials.
An entity is something search and AI systems can recognize: a company, person, service, product, or brand.
An entity profile is a clear representation of your brand: who you are, what you do, who you help, and why you can be trusted.
FAQPage schema marks up questions and answers so search engines can better understand the FAQ section.
LLM-citation means an AI model uses your site or brand as a source in its answer.
Organization schema describes a company: name, website, logo, contacts, social profiles, and other key details.
Person schema describes an expert or team member: name, role, image, profiles, experience, and topics of expertise.
Product + AggregateRating marks up a product with rating, price, availability, or reviews.
Proof blocks are trust signals: cases, reviews, certificates, photos, numbers, processes, and other evidence of real expertise.
Quotable claims are short, accurate, evidence-based statements that AI systems can easily quote or summarize.
Selection frameworks are structured criteria that help users and AI systems compare and choose between solutions.
Semantic coverage shows how fully a site covers a topic: services, questions, cases, comparisons, proof, and related intents.
Semantic expansion grows the topics and queries your site can be found or quoted for.
Service schema helps search engines understand what service the company offers and who it is for.
Source attribution ties a fact to its source: a date, a case, a page, an author, or another piece of evidence.
A set of real-user experience metrics: LCP, INP, and CLS. Google uses them in page-evaluation systems alongside other signals; passing does not guarantee a ranking, and problems should be assessed with content and technical context.
Experience, Expertise, Authoritativeness, and Trust. Google uses these concepts in its search quality rater guidance; they are not a standalone public score or a single technical action that automatically improves rankings.
Breadcrumbs show the user’s path on a website, such as Home → Category → Product.
Content Gap means topics or search intents competitors already cover but your site doesn’t address yet.
Domain Authority is an aggregate score of a domain’s strength based on backlinks, mentions, and overall trust signals.
DR / UR are Ahrefs metrics — Domain Rating and URL Rating — that score the strength of a domain and an individual page.
Google Search Console helps monitor indexing, search queries, clicks, positions, and technical search issues.
Keyword-density trap is the mistake of stuffing pages with keywords instead of providing useful facts and proof.
Link profile is the totality of external links pointing to your site — their count, quality, relevance, and momentum.
Meta-tag verification is a way to confirm site ownership through a special code embedded in HTML.
Sitemap.xml is a file that lists important website pages and helps search engines discover them faster.
SSL protects website connections through HTTPS and is required for user security and stable advertising.
OpenAI's AI assistant, which can search the web and show source links in supported modes. Whether a particular page appears depends on the query and system behavior; there is no guaranteed citation timeline.
Anthropic's AI assistant for working with text, files, and, in supported modes, web search. Feature availability depends on product and plan, and a page is not guaranteed to appear in an answer.
AI Action Plan is a draft list of recommended next steps based on campaign, analytics, product, and tracking data.
AI agents are internal assistants that check data, detect issues, prepare draft insights, and help managers respond faster.
AI analytics uses data from ads, website analytics, Merchant Center, and other sources to detect problems and growth opportunities faster.
AI Project Intelligence is an AI layer that analyzes the project across ads, products, channels, analytics, and possible growth opportunities.
Asset Quality Evaluator checks ad assets for weak copy, missing formats, duplicates, poor coverage, and relevance to the product or offer.
Client Update Draft is an AI-assisted draft explanation for the client: what happened, what it means, and what the next steps are.
Merchant fix-drafts are AI-assisted suggestions for fixing product issues in Google Merchant Center: titles, attributes, GTINs, brands, or policy warnings.
Meta QA evaluator automatically checks Pixel/CAPI, events, funnel structure, placements, audiences, and budget risks.
PMax QA is an automated check of Performance Max campaigns: tracking, assets, audience signals, structure, and budget risks.
Tools nearby: calculate ROAS and the minimum PMax budget on these same benchmarks.