📌 Ad Serving Summary
Ad serving is the process of delivering digital advertisements to websites, apps, or other online platforms. It involves selecting which ads to show, displaying them to users, and tracking their performance. Ad serving uses technology to ensure the right ads reach the right people at the right time, often using data about users and their behaviour.
🙋🏻♂️ Explain Ad Serving Simply
Think of ad serving like a vending machine for adverts. When someone visits a website, the ad server quickly picks the most suitable ad, just like a vending machine dispenses the chosen snack. This process happens in the background every time you load a page with ads, ensuring you see something relevant to you.
📅 How Can it be used?
Ad serving can be used to show targeted banner ads to visitors on an e-commerce website to increase product sales.
🗺️ Real World Examples
An online news website uses ad serving technology to display different advertisements to readers based on their location and browsing history. This helps the website earn revenue by showing more relevant ads, increasing the chances that readers will click on them.
A mobile game app integrates ad serving to show video ads between levels. The ad server selects which ads to show each player, sometimes offering rewards for watching, which generates income for the app developer.
✅ FAQ
What does ad serving actually do when I visit a website?
Ad serving is the behind-the-scenes process that decides which adverts you see on a website. When you load a page, technology quickly chooses adverts that might interest you, based on things like your location or recent browsing. The chosen adverts are then displayed, and their performance is tracked to see if people click on them or interact in other ways.
How does ad serving decide which adverts to show me?
Ad serving uses information such as your device type, location, and sometimes your browsing habits to pick adverts that are likely to be relevant to you. The goal is to match you with adverts that you might actually want to see, making the experience less random and more useful.
Why is tracking important in ad serving?
Tracking helps advertisers and website owners understand which adverts work best. By seeing how many people view or click on an advert, they can improve future campaigns and make sure adverts are shown to the right people. It also helps reduce waste, so adverts are not shown to people who are unlikely to be interested.
📚 Categories
🔗 External Reference Links
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Table Conversion
Table conversion is the process of changing data from one table format to another. This can involve switching between file types, rearranging columns or rows, or adapting the structure for a different software application. Table conversion helps ensure that data remains usable and consistent when moved between systems or tools.
GDPR Implementation
GDPR implementation means putting into practice the rules set out by the General Data Protection Regulation, a law that protects the privacy and personal data of people in the European Union. Organisations must make sure they collect, process, and store personal information in a way that is legal, safe, and transparent. This often involves updating privacy policies, securing data, getting clear consent from users, and training staff to handle data responsibly.
Advanced Analytics Platforms
Advanced analytics platforms are software tools that help organisations collect, process, and analyse large amounts of data to uncover patterns, trends, and insights. These platforms use techniques like machine learning, predictive modelling, and statistical analysis to help users make informed decisions. They often provide interactive dashboards, visualisations, and automation features to simplify complex data analysis tasks.
Quantum Noise Mitigation
Quantum noise mitigation refers to techniques used to reduce or correct errors that occur in quantum computers due to unwanted disturbances. These disturbances, known as noise, can come from the environment, imperfect hardware, or interference during calculations. By applying noise mitigation, quantum computers can perform more accurate computations and produce more reliable results.
Decentralized Identity Verification
Decentralised identity verification is a way for people to prove who they are online without relying on a single company or authority to manage their information. Instead, individuals control their own identity data and can share only what is needed with others. This approach uses secure technologies, often including blockchain, to make sure identity claims are genuine and cannot be easily faked or tampered with.