Facebook is a web traffic powerhouse: in March 2024 approximately 16.6 billion visits were measured to the Facebook.com, making it one of the most-visited websites online. In the third quarter of 2023, Facebook had nearly three billion monthly active users.

As of March 2024, Youtube.com accounted for nearly 43 of social media referral traffic to Facebook.com. Facebook's second, third and fourth-largest social media traffic driver were messenger.com, web.whatsapp.com, and instagram.com, each generating over 12 percent of social media traffic to the social network. Overall, social media accounted for 1.95 percent of traffic referrals to Facebook.com.

Traffic analytics, rankings, and competitive metrics for facebook.com as of May 2025

As of March 2024, Google.com accounted for over 7.35 percent of referral traffic to Facebook.com. Facebook's second-largest referral traffic driver was msn.com, which generated 4.83 percent of referral traffic to the social media platform. Overall, referrals accounted for slightly less than two percent of traffic to Facebook.

In this blog are the latest Facebook advertising statistics that show how effective Facebook ads are now and what’s likely to happen in the future.

36.8% of the entire world’s population uses Facebook at least once per month.

Facebook Ads PixelPro9 SponsoredTexts

## Overview

Facebook Ads PixelPro9 SponsoredTexts is a dataset for object detection tasks - it contains Words LVq8 MDMT annotations for 1,663 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Auto-generated structured data of Windsor.ai Documentation - Facebook Ads (Meta) Field Reference from table Available options

Using the CrowdTangle API, each of the pink slime news domains was input and searched for public Facebook Page and Group posts from 2019-2024. Since the maximum number of posts possible to return is 1,000, I created a recursive function to halve the timeframe until fewer than 1,000 posts were available and then add in the posts from all the remaining time frames. Each row is a different post from a public Facebook Page or Group linking to a known pink slime website.Ads were collected via facebook.com/ads/library using the United States location and “Issues, elections or politics” ad category. Each of the ad purchasers listed above was a separate keyword that generated its own csv via the ad library. These csv's were then uploaded into a Python dataframe and concatenated into a single dataframe. Each row represents a different ad that ran on Meta's platforms and was paid for by a pink slime news parent organization.

In the six months ending March 2024, the United States accounted for 22.7 percent of traffic to the social network Facebook.com. Second-ranked Vietnam accounted for over five percent of traffic to the website.

Auto-generated structured data of Facebook Lead Ads (Meta) Field Reference from table Fields

Facebook Ads PixelPro9 Elements

## Overview

Facebook Ads PixelPro9 Elements is a dataset for object detection tasks - it contains Words LVq8 VzTm annotations for 1,663 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset contains detailed Facebook advertising data for the political party Sumar and its leader Yolanda Díaz for the period from 9 January to 21 July 2023. This timeframe includes the campaign and pre-campaign periods of the 2023 Spanish general election. The dataset provides a comprehensive overview of the party's advertising strategies on Facebook, including unique ad IDs from Facebook's ad library, average cost per ad, dates, ad text, links, ad categories and estimated reach segmented by age, gender and geography. The dataset also includes information on the languages used in the ads, providing insights into the party's targeting and communication approaches during this crucial election period.

The majority of individuals in Ghana used mobile devices to access Facebook in November 2021. In that period, nearly 95 percent of Facebook traffic in the country was generated by the use of mobiles. In contrast, just over five percent of the traffic was via computers.

Among the countries/territories presented in the dataset, Facebook’s highest advertising cost-per-mille (CPM) was in the United States, valued at 35 U.S. dollars in the third quarter of 2021. For comparison, the lowest CPM, one U.S. dollar, was recorded in Pakistan.
What are other Facebook advertising costs and metrics?
Cost-per-click (CPC) is another popular metric when it comes to advertising on the social platform. Globally, the average CPC on Facebook stood at 63 cents at the end of 2018 . Certain studies reveal that CPCs vary depending on the marketing campaign objective. This means that campaigns aiming at app installs, lead generation and product catalog sales are the most expensive, whereas campaigns targeting post engagement, messages and video views are on the opposite side of the spectrum. How does Facebook compare with other social media among marketers?
The majority of marketers indicate that Facebook is the most important social platform for their business, with a staggering 40 percent lead over LinkedIn and even Facebook’s own platform - Instagram. However, with recent data breaches Facebook has seen some decrease in growth. Its position is still strong enough that marketers increase their spending on the social network. However, Instagram seems to be overtaking the older brother, and more industry professionals are planning to increase investments in the photo sharing platform than in Facebook.

UPDATED 08/12/2013: The editor of Indie Review Magazine, spoke with Facebook on 08/12/2013, and it was confirmed that the technical difficulities with the advertising account have been resolved.

They will be assisting in an investigation to handle the troll problem with the magazne's page, and the other difficulties the page has been experiencing as a direct result of the stalker's harassment.

Attached you will find screenshots of various ads that we've released on Facebook.

The conclusion: The software predicted a performance for all of the ads pictured of 0.01 - 0.03. Prior to having major issues with negative "SEO" tactics on our facebook page the software's predictions for advertising perforamnce was extremely accurate.

After we began experiencing the troll problem, the advertisements began to perform in a very unpredicatble, sporadic, and oftentimes schizophrenic fashion.

The same ad, with the swimsuit model, showed a sustained performance of 0.08 earlier in the day, and later in the evening, after a series of technial difficulties on Facebook's end (with our page) the perforamance of the ad shot down to 0.19.

We took video of the ads from the moment they began to run until we paused them after the money started to deplete at an alarming rate, and what we found was shocking.

In the first 30 minutes our page was growing at a rate of around 3 likes a second (which is what is expected for the predicted growth rate of the ad - 0.01 to 0.03). This rate of growth had been sustained for days in the past with a very similar ad.

Then suddenly the ad performance plunged to dismal numbers that do not accurately reflect the rate at which our likes were initially gained. Not on the specific day in question nor in the past (with the same or similar ad and page content).

At this time, we have paused all of our facebook ads and plan to thoroughly analyze this data.

As stated in a previous article, which is linked below, we cannot comment directly on the internal workings of Facebook's advertising platform as we do not have access to that system - but our data highly suggests that if someone is using bot accounts they can significantly impact page performance.

We have been relying heavily on our custom software pagacke to anaylze the sitaution, and with the help of my neural networks we were able to identify patterns which revealed problem areas and allowed us to adjust our advertising strategy so that our page would be less suspectible to negative SEO tactics.

UPDATE: 08/10/2013 Facebook will be speaking with the editor of Indie Review Magazine, they indicated that there were experiencing technical difficulties. These technical difficulties have been impacting our page for days, thus we've halted our experimentation and will update with another figshare article, once more information has been obtained.

Reference: 1. http://www.forbes.com/sites/davidthier/2012/08/01/facebook-investigating-claims-that-80-of-ad-clicks-come-from-bots/ 2. Previous figshare article: http://figshare.com/articles/Potential_Issues_with_FB_Advertising_Algorithms_/767331

Dataset Summary

UltraLAMBDAis a large-scale dataset of ads sourced from brand videos on platforms such as YouTube and Facebook Ads, as well as from CommonCrawl. The memorability scores for the ads are assigned by our model Henry.

  Dataset Structure

from datasets import load_dataset ds = load_dataset("behavior-in-the-wild/UltraLAMBDA") ds

DatasetDict({ train: Dataset({ features: ['id', 'memorability'], num_rows: 1964 })

})

  Data… See the full description on the dataset page: https://huggingface.co/datasets/behavior-in-the-wild/UltraLAMBDA.

According to the source's analysis based on more than ** thousand advertising accounts and more than *** thousand ad campaigns worldwide in January and February 2024, the click per cost (CPC) rate was highest in the United Kingdom - at **** U.S. dollars. Germany followed with a CPC rate of **** USD, while the United States rounded the top three with **** in CPC.

During the coronavirus pandemic outbreak in the United States, in mid-March 2020, brands had to pay on average close to 9 U.S. cents for a click on Facebook ads, while at the beginning of the year this cost amounted to 11 U.S. cents. In general Facebook advertising has become cheaper with the recent spike in usage of the platform influenced by COVID-19.

This dataset contains manual annotation for ads from parties from UK, Italy, Germany, Spain, and Poland that ran ads on Facebook during the 2019 EU parliamentary elections and that were defined as "populist" by popu-list.org. For each ad, we qualitatively identified a primary issue, a sub-issue, and a stance with respect to the sub-issue. The annotation was performed through an open coding procedure. More information is reported in our paper "The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections". More information about the same ads is reported in: https://zenodo.org/record/6597765

This TSV file contains the following columns: - "state": the country of the ad. - "ad_id": the original id of the ad. - "link": a link to the ad. - "page_name": name of the page running the ad. - "is_local": whether the ad is related to local elections or not (if not, it's related to the 2019 EU Elections). - "issue": a comma-separated list of the main issues of the ad. - "sub-issue": a comma-separated list of sub-issues of the ad. - "stance": a comma-separated list of stances of the ad.