Do you know what retargeting is? It is often mentioned as a method of promoting products on the Internet among users who have already expressed interest in your offer by visiting your website. But is retargeting the right advertising strategy for your business? We will provide you with a definition of retargeting and more useful information about the technologies leveraged in this technique.
In this article you will learn about:
- Retargeting (and why should you consider using it)
- Types of customers that are out there on the Internet (and how to reach them)
- How real-time bidding dominates the world of online advertising
- Deep learning and how it improves the efficiency of retargeting campaigns
- Companies that should invest in retargeting
- Influencing the user experience of retargeting
Table of Contents:
- What is the purpose of retargeting and how does it work?
- Real-time bidding in today’s world of advertising
- Deep learning in retargeting
- What types of companies should invest in retargeting?
- How does retargeting affect the user experience?
What is the purpose of retargeting and how does it work?
Retargeting is an advertising technique that enables brands to display ads based on consumers’ previous online behavior, purchase intentions and needs. It has been in use for many years now, and many companies implement it (especially in the e-commerce sector). But how does retargeting work?
A user visits a website (for example, an online store or a travel agency website). Several actions may be performed during the visit – adding products to the shopping cart , viewing offers, etc. All of these activities provide the company with some information about the potential customer’s needs and interests – such data is of great value because it can be used to better adjust campaigns.
The exemplary retargeting scenario for the fashion industry looks as following:
What types of users are out there for you to reach?
To fully understand how retargeting works, you have to first learn how online consumers behave. Several types of users interact with your e-commerce website or web app:
- Visitors – people who only view your offers but they have never put any product into the shopping cart and have never placed an order before.
- Shoppers – these users have sometimes put some products into the shopping cart (at some time in their history), but they have never ordered anything (the reasons for that may be varied – high prices, change of heart, difficulties in the ordering process).
- Buyers – actual customers who have placed an order before (at some time in their history).
You could choose to target any or all of them with your retargeting campaigns.
After users leave your website, their data can be processed by the retargeting provider. Meeting their expectations is crucial for the campaign’s success. Advanced solutions and AI-based algorithms will be applied to the data to learn what particular users are really interested in buying. The most advanced solution is deep learning. Ads adjusted to individual users will be displayed to them on the different websites they visit.
Are you wondering what a retargeting campaign can look like? At RTB House we use an advanced recommendation mechanism that – based on previous and current user behavior, recognizes patterns that facilitate the optimal selection of products that particular consumers may be the most interested in at the right moment. Individual web and mobile users can be shown ads for products they have viewed before, or ads for new products they haven’t seen yet.
So, potential customers of a fashion online store that have never bought anything, but have viewed the offer, can be provided with ads (on completely different websites) for the exact garments they have individually shown interest in. However, a retargeting platform powered by deep learning can perform analyses and also recommend other products they might consider purchasing (even more tailored to their current needs). Furthermore, retargeting allows you to re-target users that have already bought something in your shop and present them with the rest of your offer.
The process of selecting what type of banner should be displayed and deciding which offers should be presented on it is fully automatic. The system does that based on a complex analysis. When users click the banner, they are redirected to the original website (for example, your online shop) and land on the site of the specific products that may suit each user’s specific needs. Using the information that is at our disposal, we make sure that each of the users is shown a dedicated set of products on the banner.
Real-time bidding in today’s world of advertising
Leveraging solutions such as retargeting requires the use of RTB (Real-Time Bidding) technology. The high level of automation in digital advertising increases its efficiency and allows companies to reduce costs by optimizing their campaigns. Real-time bidding is the modern process of buying ads on the internet. It provides business organizations with automation and significantly improves the efficiency of buying ads. The entire process of buying ads is managed with the use of SSP and DSP platforms, which are a part of a huge and complex programmatic advertising market.
Deep learning in retargeting
Advanced technologies and real-time bidding solutions enable marketers to retarget potential customers via various channels (websites and mobile apps), but what is more important, deep learning allows businesses to understand their customers better. By enabling personalization this allows brands to interpret consumer needs and requirements properly and provide them with the right offers. The deep learning algorithms we use work with more than just historical data. They allow us to learn from each user’s behavior. This way, we can target each person at the right time, in the right place, and with the right message.
What types of companies should invest in retargeting?
Retargeting can significantly increase the conversion and revenue of your e-commerce business, but years of experience in digital advertising have shown us that it is more effective in the case of some specific types of companies.
The best results could be achieved by businesses like:
- e-shops (in various industries like fashion, electronics etc.)
- comparison engines (most often price comparison websites)
- classifieds (especially automotive, real estate and job portals)
- travel agencies with an online presence
How does retargeting affect the user experience?
Some wonder if being ‘hunted’ this way can upset customers and make them irritated with a certain brand. In most cases, the identification of users is based on cookie files, but nowadays retargeters are preparing for the reality of cookieless advertising. At RTB House, we use dynamic capping by default, allowing us to increase the effectiveness of a campaign. This value is set dynamically for each cookie, depending on its characteristics. That means that a user considered more interested in a particular product will probably be served the ad more times. Dynamic capping/frequency capping allows advertisers to reduce ad fatigue and adjust the intensity of advertising in order to ensure the best user experience.
To sum up, what makes retargeting so efficient? It helps you focus on the most promising target group that expresses interest in your product/service. Highly personalized retargeting allows us to adjust the offer to the specific user and reach him at the right time. Additionally, this approach to advertising is cost-effective, as you pay for the actual result. Ask us how to improve your advertising strategy efficiency. We’ll be happy to advise you on all the modern solutions.