A.I.

Programmatic Guaranteed (PG) in Real-Time Bidding (RTB) is a method of programmatic advertising where an advertiser and a publisher agree on a fixed number of impressions that the buyer has committed to purchasing. The Cost Per Mille (CPM), ad sizes, […]

Programmatic Direct is a method of programmatic advertising that involves a direct deal between an advertiser and a publisher, without involving exchange parties. In Programmatic Direct, advertisers approach publishers directly to buy ad space.  Here’s how it works:  Direct programmatic […]

Private Marketplaces (PMPs) in Real-Time Bidding (RTB) are customized, invitation-only RTB marketplaces where premium publishers make their inventory and audiences available to a select group of buyers. Unlike the open exchange, at auction the buyer knows which site/s the ad […]

Header Bidding, also referred to as “pre-bidding” or “advanced bidding”, is a programmatic advertising technique in Real-Time Bidding (RTB) which allows publishers to put their available ad space impressions (also referred to as “ad inventory”) up for auction across multiple […]

Real-Time Bidding (RTB) is a form of programmatic advertising that allows for the buying and selling of digital ads in real time. When users visit a website or mobile app, a real-time auction is conducted where advertisers bid and compete […]

In programmatic advertising, an ad exchange is an online marketplace where advertisers, agencies, demand-side platforms, publishers, and supply-side platforms can bid on advertising inventory from various publishers using RTB. Advertisers determine the price by participating in the bidding process. Additionally, […]

In programmatic advertising, an Ad Exchange is a digital marketplace that enables advertisers and publishers to buy and sell ad inventory programmatically in real-time. Ad exchanges allow advertisers to bid on targeted ads shown to specific publishers and users, evaluating […]

In programmatic advertising, a Demand-Side Platform (DSP) is a software used by advertisers to purchase ad inventory programmatically across the web, mobile, apps, video, and social media within advertiser-defined parameters. It allows advertisers to easily manage their campaigns and maximize […]

In programmatic advertising, a Supply-Side Platform (SSP) is a software used by digital publishers to sell ad inventory programmatically to advertisers. It allows publishers to easily manage their inventory and maximize their earnings by connecting them with multiple demand-side platforms […]

Programmatic advertising is the automated process of purchasing digital ad inventory across the web, mobile, apps, video, and social media within advertiser-defined parameters. It uses machine learning algorithms to deliver the most effective ads to audiences based on a variety […]

Artificial neural networks (ANNs) are composed of interconnected layers of software-based calculators known as “neurons”. These networks can absorb vast amounts of input data and process that data through multiple layers that extract and learn the data’s features. Share this… […]

Application programming interface (API) is a way to programmatically access (usually external) models, data sets, or other pieces of software. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

A digital footprint refers to the trail of data that a person leaves behind when using the internet. This includes websites visited, emails sent, and information submitted online. A digital footprint can be used to track a person’s online activities […]

In programmatic advertising, ACOS (Advertising Cost of Sales) is a metric used to measure Amazon pay-per-click (PPC) advertising campaigns. It compares the amount spent on PPC campaigns to the amount earned and helps determine if your brand generated campaigns that […]

Measures how much revenue you generate for every dollar spent on advertising. It is calculated by dividing revenue generated from ads by the cost of those ads.  Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Measures how many pages users view on average during each website session.  Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Measures how many times users visit your website within a specific period.  Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Measures how often people leave your website after viewing only one page. A high bounce rate can indicate that your landing page or website content needs improvement. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Measures how often people click on your ads after seeing them. It is calculated by dividing the number of clicks an ad receives by the number of times it is shown (impressions). Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Measures the cost of acquiring a new customer over a specific period. It is calculated by dividing the total cost of your campaign by the number of new customers acquired over that period. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Measures the cost of acquiring a new customer. It is calculated by dividing the total cost of your campaign by the number of new customers acquired. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

This is the core conversion metric that measures how many people completed your target action. It is calculated by dividing the total conversions by the total visitors from your ad or campaign. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Conversion metrics are essential to track the performance of your advertising campaigns. They help you determine whether your audience is taking a particular action, how much those actions are costing, the overall return on investment (ROI) for your efforts, and […]

The cookie apocalypse is essentially the demise of the third-party cookie. Cookie restrictions and bans have gone through various stages. First, consumers were allowed to opt-in to cookies instead of having them mandatorily imposed on them. Apple’s Safari and Mozilla’s […]

The cookie apocalypse is not an actual global catastrophe but rather a metaphorical description of the challenges faced by online advertisers and marketers due to several developments: Privacy Regulations: Various privacy regulations, such as the General Data Protection Regulation (GDPR) […]

The cookie apocalypse refers to the deprecation of third-party cookies (3PCs) by major web browsers such as Safari, Firefox, and Chrome. Third-party cookies are used to track users across multiple domains and are often used for advertising purposes. The deprecation […]

A third-party cookie is a small data packet that is created by a domain other than the one you are currently visiting. These cookies are often used for tracking and advertising purposes across multiple websites. Third-party cookies can be used […]

The term second-party cookie is not commonly used in the industry. It is not a cookie type, but rather a data-sharing agreement between two parties. Second-party data is collected by one company and shared with another company for mutual benefit. […]

A first-party cookie is a small data packet that your web browser generates and exchanges with a dedicated web server. It is directly stored by the website (or domain) you visit. These cookies allow website owners to collect analytics data, […]

Contextual advertising uses various factors to determine which content is most relevant to users when placing an ad. It targets potential customers by relying on context such as the content of a webpage, location or weather. Machine learning can apply […]

Cognitive advertising is a form of marketing that relies on AI and consumer behavior to create a personalized relationship with the customer that can increase engagement and ROI. Through a series of interactions with an advertisement, aided by AI and […]

The General Data Protection Regulation (GDPR) is the toughest privacy and security law in the world. Though it was drafted and passed by the European Union (EU), it imposes obligations onto organizations anywhere, so long as they target or collect […]

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs. It is a subset of AI that focuses on building and using digital systems […]

Facial analysis is a subset of artificial intelligence (AI) that uses machine learning algorithms to analyze human faces and determine attributes such as age, gender, facial expressions, level of engagement, and even disease diagnosis. Facial analysis works by comparing the […]

Graphics processing units (GPUs) are computer chips that were originally developed for producing computer graphics (such as for video games) and are also useful for deep learning applications. In contrast, traditional machine learning and other analyses usually run on central […]

An omnichannel chatbot is an AI-enabled chatbot that provides customers with an integrated buying and customer support experience across all channels. The term “omni-channel” refers to the ability of the chatbot to seamlessly switch between these channels while maintaining context […]

Unimodal chatbots are a type of artificial intelligence (AI) systemthat are designed and built to work with one type of dataexclusively. They use algorithms tailored for that modality. Forexample, a unimodal AI system like ChatGPT uses naturallanguage processing (NLP) algorithms […]

A multimodal chatbot is a communication agent that works withmultiple modalities, such as text, voice, face, and body. It isdesigned for interaction with multiple users at a time and canperform tasks such as face detection, emotion classification,tracking of crowd movement […]

A chatbot is a computer program that simulates conversation withhuman users, especially over the internet. It uses natural languageprocessing (NLP) and generative AI to automate responses touser inputs. Chatbots are frequently used by organizations toprovide 24-hour customer relationship management (CRM)services. […]

An AI virtual assistant is a type of conversational AI that usesnatural language processing (NLP) and generative AI to automateresponses to user inputs. It is designed to assist people orautomate tasks by understanding human speech and deducingmeaning, irrespective of how […]

Prompt engineering is a technique in the field of AI that involvescrafting specific instructions or queries to guide an AI system ingenerating responses or creative content. It is the process ofcreating effective prompts that enable AI models to generateresponses based […]

Prompt engineering refers to the process of designing, refining,and optimizing input prompts to guide a generative AI modeltoward producing desired (that is, accurate) outputs. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

The hallucination problem in AI refers to the generation of outputsthat may sound plausible but are either factually incorrect orunrelated to the given context. These outputs often emerge fromthe AI model’s inherent biases, lack of real-world understanding,or training data limitations. […]

Algorithm bias, in the context of artificial intelligence and machinelearning, refers to a systematic and unfair discrimination orfavoritism exhibited by an algorithm when making decisions orpredictions. This bias can result in unjust and discriminatoryoutcomes for specific individuals or groups based […]

Some of the main AI algorithms used to recognize patterns &correlations are: Supervised Learning Algorithms:● Linear Regression: Used for modeling the relationshipbetween a dependent variable and one or more independentvariables.● Logistic Regression: Suitable for binary classification tasks,such as spam detection […]

Artificial Intelligence (AI) algorithms are a set of instructions that enable computers to learn and make decisions independently of human intervention. AI algorithms are more complex than general algorithms and are developed with different goals and methods. They work by […]

LLM stands for large language model and is a type of artificialintelligence system that works with language. LLMs use deeplearning techniques, especially neural networks, to process andlearn from huge amounts of text data. LLMs can perform varioustasks related to natural […]

Generative AI agents are advanced AI systems that use machinelearning and natural language processing to create new content, such as text, images, code, or other types of content, often in response to a prompt entered by a user. They are […]

Unstructured data lack a consistent format or structure (for example, text, images, and audio files) and typically require more advanced techniques to extract insights. Share this… FacebookGoogle Twitter Linkedin Pinterest Email