In the fourth quarter of 2022, the volume of social media ad impressions was 54 percent higher than in the second quarter of 2022. In the last presented quarter, the volume was 35 percent higher than during the second quarter of 2022.

Industry research found that the click-through rate of search ads worldwide stood at 1.6 percent in the first quarter of 2024. In the corresponding quarter of the previous year, the CTR amounted to 1.55 percent. Click-through rate is the share of clicks an ad receives in the number of users that view it.

This data is a sample of Adform's ad traffic. Each record corresponds to an ad impression served by Adform, and consists of a single binary label (clicked/not-clicked) and a selected subset of features (c0-c9). The positives and negatives are downsampled at different rates. The data is chronologically ordered. The file is gzipped and each line corresponds to a single record, serialized as JSON. The JSON has the following fields: "l": The binary label indicating whether the ad was clicked (1) or not (0). "c0" - "c9": Categorical features which were hashed into a 32-bit integer. The semantics of the features are not disclosed. The values are stored in an array, because some of the features have multiple values per record. When a key is missing, the field is empty. The files are named "adform.click.2017.xx.json.gz", where "xx" is the index (01-05). The files are indexed chronologically, and the records (lines) in the file within are ordered chronologically.

Mobile ad click-through rate (CTR) is one of the most important metrics for advertisers looking to track the performance of an ad or link. It is calculated by dividing the number of clicks by the...

Dataset

This dataset was created by Ojeikere Omokhoje

Released under Apache 2.0

Contents

Dataset

This dataset was created by Neha Dammannagari

Contents

During a survey carried out in 2023, 16 percent of responding consumers from the United States said that they were very likely to click through on a digital advertisement relevant to their interests; another 43 said they were somewhat likely to do so.

The graph shows the click-through rates of digital video advertising in selected countries in Latin America in the second half of 2018. In Peru, 5.6 percent of digital video ads were clicked on.

Dataset

This dataset was created by Mst Afroja Akter

Contents

Context

A company wants to know the CTR ( Click Through Rate ) in order to identify whether spending their money on digital advertising is worth or not. A higher CTR represents more interest in that specific campaign, whereas a lower CTR can show that the ad may not be as relevant. High CTRs are important because they show that more people are clicking through the website. Along with this high CTRs also help to get better ad position for less money on online platforms like Google, Bing etc.

Content

The dataset divided to train (463291, 15) and test (128858, 14). Features are clear and target is "is_click" , 0 (No) , 1(Yes).

Kerner(s)

• Quick EDA and Base Model

Inspiration

• EDA and customer analytics
• Prediction of the ad click rate of a customer

This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network. The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields:

publisherid - Unique identifier of a publisher. Bankaccount - Bank account associated with a publisher (may be empty) address - Mailing address of a publisher (obfuscated; may be empty) status - Label of a publisher, which can be the following: "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms) "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid

On the other hand, the click database records the click traffics and has several fields:

id - Unique identifier of a particular click numericip - Public IP address of a clicker/visitor deviceua - Phone model used by a clicker/visitor publisherid - Unique identifier of a publisher adscampaignid - Unique identifier of a given advertisement campaign usercountry - Country from which the surfer is clicktime - Timestamp of a given click (in YYYY-MM-DD format) publisherchannel - Publisher's channel type, which can be the following: ad - Adult sites co - Community es - Entertainment and lifestyle gd - Glamour and dating in - Information mc - Mobile content pp - Premium portal se - Search, portal, services referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article. Related Publication: R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar. (2014). Detecting click fraud in online advertising: A data mining approach, Journal of Machine Learning Research, 15, 99-140.

This statistic presents the share of consumers who click on Facebook ads in the United States as of March 2018, by age group. According to the findings, 68 percent of respondents between the ages of 18 to 24 years said they did not click on any Facebook ads within the preceding month, while the same was true for 51 percent of respondents between the ages of 45 and 54.

During a June 2023 survey among adult Facebook users in Brazil, around 60 percent of respondents reported never or rarely clicking on Facebook advertisements. Less than one-third (or 32 percent) said they did that sometimes, whereas less than 10 percent stated they did it often or always. According to the same study, almost half of adult Facebook users in Brazil were interested in the social network's ads.

Between April 2023 and March 2024, the average search advertising click-through rate (CTR) in for arts and entertainment reached 13.04 percent and was the highest among the presented industries. At the same time the lowest result was for attorneys and legal services, with a CTR of 5.3 percent. Click-through rate (CTR) is calculated as the total number of clicks divided by the total number of impressions attributed to the advertising campaign in question.

In a survey conducted among Vietnamese residents, 45 percent of respondents stated that one reason to click on an online ad was that the product matched their interest. Nevertheless, some respondents also indicated that they had to click on the ad to see their favorite content afterwards while some respondents clicked on one by mistake.

Criteo contains 7 days of click-through data, which is widely used for CTR prediction benchmarking. There are 26 anonymous categorical fields and 13 continuous fields in Criteo dataset.

During a mid-2022 survey in Peru, 48 percent of responding internet users said an online ad featuring a product that interested them made or would make them click on that ad. Advertisements offering deals or discounts followed, mentioned by 47 percent of respondents. According to another 2022 study, 46 percent of consumers in Peru often felt annoyed by online ads.

Dataset

This dataset was created by Ojeikere Omokhoje

Contents

In March 2023, apparel and footwear was the industry with the highest click-through rate (CTR) for Facebook ads worldwide, at 2.06 percent. The lowest CTR was recorded for technology products and services, at 0.93 percent.

How is ad success measured?

Click-through rate - the number of times an ad clicked divided by the number of total views - is a commonly used measure to gauge the effectiveness of an online advertisement. In the second quarter of 2023, CTR for social networks stood at 1.36 percent. This marked an increase of 13 percent compared to the previous quarter. Cost-per-mille (CPM) - the price of each 1,000 views of ads on one web page - is another noteworthy metric to examine the success of an advertisement. In the second quarter of 2023, global social media ads' CPM was 5.33 U.S. dollars.

The most click-worthy industry: apparel

The most valuable brand from the industry with the highest CTR in 2023 was Oregon-based giant Nike, which had a brand value of roughly 75 billion dollars. Apparel companies have spent heavily on advertising not only to build immense brand awareness and value, but also to cater brand loyalty. For instance, U.S. apparel and accessory stores ad spend amounted to 531 million dollars in 2022. In the same year, the average consumer spend just for female apparel in the United States was around 730 dollars. As long as consumers keep clicking on ads for clothing and footwear items, the apparel industry’s ad spend can be expected to grow proportionately.