Description of TripleLift: TripleLift is an advertising technology company providing native programmatic to buyers and sellers.
TripleLift is used by 0.36% of websites in the Advertising category.
Food & Drink is the most popular main category among the websites using TripleLift.
Travel Type is the most popular subcategory among the websites that are using TripleLift.
The technologies that are most often used together with TripleLift are Amazon Advertising, Index Exchange, PubMatic, Open Graph, 33Across, Google Publisher Tag, comScore, webpack, Module Federation, RSS.
Our AI based recommender engine (trained on 100 million data points) suggests that websites using TripleLift may also be interested in using these other technologies: Index Exchange, Rubicon Project, PubMatic, OpenX, GumGum, Amazon Advertising, Teads, 33Across, AdThrive, Sovrn.
Technology | % of use together with TripleLift | Website |
---|---|---|
Amazon Advertising | 90.15 | https://advertising.amazon.com |
Index Exchange | 89.98 | https://www.indexexchange.com |
PubMatic | 88.65 | http://www.pubmatic.com/ |
Open Graph | 63.44 | https://ogp.me |
33Across | 62.1 | https://www.33across.com |
Google Publisher Tag | 61.6 | https://developers.google.com/publisher-tag/guides/get-started |
comScore | 56.26 | http://comscore.com |
webpack | 53.76 | https://webpack.js.org/ |
Module Federation | 52.75 | https://webpack.js.org/concepts/module-federation/ |
RSS | 50.58 | https://www.rssboard.org/rss-specification |
Technology | AI Recommendation Score | Website |
---|---|---|
Index Exchange | 0.45 | https://www.indexexchange.com |
Rubicon Project | 0.43 | http://rubiconproject.com/ |
PubMatic | 0.42 | http://www.pubmatic.com/ |
OpenX | 0.42 | http://openx.com |
GumGum | 0.41 | https://gumgum.com |
Amazon Advertising | 0.39 | https://advertising.amazon.com |
Teads | 0.39 | https://www.teads.com |
33Across | 0.39 | https://www.33across.com |
AdThrive | 0.36 | https://www.adthrive.com |
Sovrn | 0.34 | https://www.sovrn.com |
Introduction to TripleLift
TripleLift is an advertising technology platform that helps brands and publishers create and deliver visually appealing and effective native advertising campaigns across different channels and devices. Its innovative programmatic solutions leverage deep learning algorithms and computer vision technology to analyze and optimize ad placements in real-time, delivering highly personalized and engaging ad experiences to consumers. TripleLift's platform also offers robust targeting, measurement, and reporting capabilities that enable advertisers to track and optimize their campaigns' performance and ROI.
Practical Applications
of TripleLift
TripleLift is a programmatic advertising platform that enables advertisers to reach their desired audience through native advertising. Some practical applications of TripleLift include:
1. Native Advertising: TripleLift enables advertisers to seamlessly integrate their ads into the content of a website or app, giving users a non-intrusive and engaging ad experience.
2. Targeted Advertising: With TripleLift, advertisers can target specific audience segments based on their interests, behaviors, and demographics, ensuring that their ads are shown to the right people at the right time.
3. Real-Time Bidding: TripleLift's real-time bidding technology allows advertisers to bid on ad inventory in real-time, ensuring that they get the best possible price for their ads.
4. Brand Safety: TripleLift uses advanced algorithms and human review to ensure that ads are placed in brand-safe environments, protecting advertisers from negative associations with inappropriate content.
5. Measurement and Optimization: TripleLift provides advertisers with real-time reporting and analytics, allowing them to measure the effectiveness of their campaigns and make data-driven optimizations to improve performance.
Benefits and Advantages of TripleLift
- TripleLift offers real-time bidding for programmatic online advertising, allowing for better targeting and optimization of ad campaigns.
- The platform offers a variety of ad formats, including native ads, video ads, and display ads, providing flexibility for advertisers.
- TripleLift's machine learning algorithms help to automatically optimize campaigns based on performance data, saving advertisers time and effort.
- The platform also offers a transparent reporting dashboard, allowing advertisers to easily track the performance of their campaigns and adjust as needed.
- TripleLift's focus on native advertising can lead to higher engagement rates and better user experience compared to traditional display ads.
Website | IAB category 1 | IAB category 2 | OpenRank |
---|---|---|---|
mashable.com | Business and Finance | Industries | 7.07 |
slate.com | News and Politics | Political Event | 6.74 |
timeanddate.com | Travel | Dating | 6.59 |
newsweek.com | News and Politics | International News | 6.12 |
observer.com | Video Gaming | eSports | 6.04 |
thehill.com | News and Politics | Politics | 6.01 |
foreignpolicy.com | News and Politics | International News | 5.73 |
ign.com | Video Gaming | Video Game Genres | 5.69 |
cracked.com | Hobbies & Interests | Comedy Movies | 5.64 |
startribune.com | News and Politics | Weather | 5.61 |
Website | IAB category 1 | IAB category 2 | OpenRank |
---|---|---|---|
yourspringnews.com | Careers | Job Search | 0 |
yourclevelandnews.com | News and Politics | International News | 0 |
kajatv.com | Music and Audio | Talk Radio | 0 |
kdftv.com | News and Politics | Talk Radio | 0 |
listinggiant.com | Real Estate | Vacation Properties | 0 |
The average age of websites using TripleLift is 9.8 years.
The average page rank (measure of backlink strength) of websites using TripleLift is 3.39.
Technology | % of use together with TripleLift | Website |
---|---|---|
Shareaholic | 0.1669 | https://www.shareaholic.com/ |
prettyPhoto | 0.1669 | http://no-margin-for-errors.com/projects/prettyphoto-jquery-lightbox-clone/ |
Azure Front Door | 0.1669 | https://docs.microsoft.com/en-us/azure/frontdoor/ |
Azure | 0.1669 | https://azure.microsoft.com |
Emotion | 0.1669 | http://emotion.sh |