Not only that but Facebook actively brags about video impressions in their conference calls. This is fraud. I think this is something that should be investigated by the SEC to be perfectly honest. Doesn't mean they should be charged, just investigated; because if they are misreporting this, what other metrics are they misreporting to shareholders?
My understanding is that they only counted it as an impression if it was a view for at least 3 seconds. If anything, including non-impression views is lying about the quality of impressions their ads received, because they're not impressions.
I don't know if that's how video ad impression data is normally reported, but it sure sounds more intuitive to me.
I don't disagree, but FWIW the ads still had better ROI than Facebook's competitors, so the oversight (while embarrassing) may not have actually changed the willingness of ad buyers to pay for ads.
I'm not saying they are doing that, I am saying be especially careful with anyone in advertising who is misleading and who doesn't try to protect their reputation by being exact in what they say.
If they buy something, who cares?
You also can't really directly compare these simple metrics across sites as they don't get at customer lifetime value. With these simple metrics you run into problems where the average video view may be higher on site A, but the average spend for users is higher on site B, and simply following the metric will lead you to an ineffective campaign. Whose responsibility is it to effectively manage an advertising campaign?
While I agree that more oversight and transparency is welcome here, I think jumping out and calling it fraud is exactly the kind of reaction that makes me feel this is overblown.
The lie is about the effectiveness of video on Facebook.
I directed a fair amount of additional ad spend to Facebook precisely because Facebook users on average seemed to be giving a lot of attention to videos on the platform, even if they were promoted. It actually seemed like there was finally something that could work to replace the kind of lift we would see from TV advertising 5-10 years ago.
This calls that into question (which may be putting it mildly). It also calls into question all of the other metrics Facebook provides advertisers.
Most small advertisers wouldn't be able to do this, and attribution is hairy as hell, but the options for measuring this are there.
So, we make decisions based on imperfect information. When it was TV or Radio ads, there were 3rd parties that measured the market and reach of the station. With Facebook, Youtube, etc we have to take their word for it.
Also, our marketing doesn't exist in a vacuum. Weather, competitors, a traffic jam down the street, variations in employee performance, etc all impact the performance as well.
It's not like we can just A/B test Facebook video ads vs Pandora Ads and pick the winner.
So, we shift our budget based on the available information.
And the average video view length is part of the information that we used to make decisions.
I know multi-touch is hard, but doesn't that mean you should be less confident in your statements because the data is fuzzy?
That's kind of why Facebook/Google was ever supposed to be valuable: they empower the analysis. How do you do good analysis with bad inputs?
But assuming the FB/Google reported numbers are accurate, would you pay for them and just convince yourself they are actually increasing your sales?
You should be able to at least plot sales numbers against ad spending per week over a year.
In the 1300s, feedback to the advertiser took years.
In the 1900s, months.
In the 1960s, you could now measure the effect of blanketing a MMR with ads, and see how sales there compared to nationally.
This century, you have still-imperfect, yet much better than before, attribution.
Good analysis in the 1930s was different than now. Good marketing was the same, but with cruder tools.
Having wiggle room on numbers isn't a bad thing. Lying about the amount of wiggle room on said numbers is.
It is not about the specific number of seconds. It is about the implied engagement and focus of the audience. It is about a reported difference in the behavior of Facebook users vs other online properties.
The dimensions to break out reporting columns for various view duration percentages has always existed. Any advertiser worth their salt is looking at the breakdown for stats on meaningful views because out outside of cases where your message is delivered in a couple seconds you typically only care about longer views and would just look at those numbers.
So the question is how deep this polluted other metrics.
As far as I know Facebook does the same thing. I haven't read the Facebook advertising documentation in a long time but know that they outline many of their metrics in detail. People haven't been getting overcharged and it hasn't effected billing. From the article: "... it did not impact billing, and we have notified our partners both through our product dashboards and via sales and publisher outreach. We also renamed the metric to make it clearer what we measure. This metric is one of many our partners use to assess their video campaigns."
What are the implications of this? "Due to the miscalculated data, marketers may have misjudged the performance of video advertising they have purchased from Facebook over the past two years."
The other part about making it difficult to compare against competitors is true regardless of having the same metric due to site and user differences. Maybe facebook users spend more on average than twitter users after clicking on your ad for an ecommerce site? A/B tests towards the goal you're interested in is much more fruitful from a business perspective then say comparing click thru rates.
I've spent 4 days investigating this, so it's worthwhile to share the data.
For every 100 clicks I purchase, at a strong CPC ($0.10 - $2.00 CPC), I have found: - GA tells me i got between 40-60 sessions - piwik tells me ~70 - server logs show that page was requested ~400x (not indexed, a FB-only lander). I have IP and UA recorded, and both are rotated. My guess is that FB preloads the HTML LP when the impressions shows from mobile, so the browser is primed to quickly load assets (w/o sig resources to d/l images/etc -- just request the page that initially loads all that)
My point is attribution for conversions and link clicks is hard.
Any marketer worth their salt avoids the thought of "I paid for 10 clicks but GA only shows 6".
A better marketer thinks, "I paid $660 to acquire 2 customers. Is that acceptable?"
You're right, but that doesn't have a bearing on whether the advertising you bought was fraudulently presented though. Yes you should be wise, but we should still imprison people for fraudulent acquisition of other people's money, even if you still thought you ultimately got a good deal.
Source: someone who has had to deal with clients who insist that all our various js-based tracking methods should 100% match backend data and each other.
Therefore both the true and reported values of X are completely irrelevant because you are incapable of using them.
Please explain how the above reasoning is incorrect.
That's when you rely on metrics like bounce/view period to decide if your advertising worked.
It's not uncommon to require at least 50% of pixels in view for 1 second before you have an impression for static images [0, 1]. AOL defines an impression requiring 2 seconds for images [1]. Facebook likely did some analyses to find that 3 seconds was a good cutoff for their site.
There are more sophisticated ways to estimate dwell time but they seem uncommon in practice; perhaps due to their difficulty communicating to advertisers what the impression metric actually means.
For sites with many bots or inbound marketing you often find users bounce quickly which drives some of this timing. I'm a bit surprised it needs to be that high for Facebook without many bots or users bouncing quickly. Perhaps this is for mobile users scrolling quickly.
[0] http://advertising.aol.com/specs/terms/aol-viewability-terms [1] http://mediaratingcouncil.org/063014%20Viewable%20Ad%20Impre...