Measuring Brand Activity through RTB

Harley Norrgren studied Statistics at University College London and after a two year tenure is currently heading up Infectious Media’s Analytics Team. Being with Infectious throughout their entire working relationship with RTB he’s had the opportunity to watch the space develop since the start of RTB’s European adoption.

If you’re spending large portions of your media budget on brand activity, you’ll want to ensure that you’re getting the best performance for your money, yet the effect of brand activity is typically hard to measure as it poses a few difficult questions to advertisers:

• What metrics can we use for measuring brand engagement?
• How can we get access to user level data from predominantly offline channels?
• How can we integrate cross-channel data to get a full picture of the effect of our branding spend?

It is our proposition that buying via RTB on Ad Exchanges makes brand advertising measurable and increases the accuracy of any direct response path to conversion analysis and attribution modelling. We currently create bespoke branding metrics (in conjunction with our data partners) and marginal attribution models, which help to give advertisers better insight into the effect of their brand spend and facilitate optimisation towards branding goals. These bespoke metrics are called ‘Brand Units’, and are a standardised unit of any combination of different brand measurements, such as exposure time or brand related search uplift, which can either be a proxy for conversion or reflect other incomplete path brand objectives.

Exchange generated impression level data feeds provide unique opportunities for data providers to integrate their data with unprecedented granularity. We are currently working with data partners to provide us with impression level exposure time metrics, enabling us to optimise towards advertising face time and to buy display in terms of view duration rather than per impression. The combination of engagement, search uplift and on-site activity density means that we can measure brand effect on a per user basis, rather than resorting to surveys, and optimise campaigns against these metrics in real time.

The unique user level insights generated from brand activity can be coupled with post brand engagement and ultimately conversion/post-conversion activities, allowing us to fit brand activity directly into the conversion path, as well as attribution models, providing advertisers with more insight about the path to conversion than was ever available before from a single channel.

One of the main considerations about running brand activity through exchanges is the perceived ‘remnant’ status of most inventory available. It’s important to remember that just because an impression is remnant, it doesn’t mean it’s of poor quality. Through the use of ad exposure times we can identify and optimise towards the best value Cost per Face Time inventory sources, giving advertisers more clarity and better value than direct buying could. Furthermore, the presence of private exchanges and the market wide increasing adoption of ad exchanges means that more and more ‘premium’ inventory is made available every day. Via exchange buying, adverts can be purchased on premium inventory on a per-impression basis and made measurable enough to get a stronger indication of the real value of each advert shown.

These insights represent a large step forward for a communication goal which is generally hampered by industry standard attribution models. We hope that the unprecedented feasibility of marginal attribution models and access to user level data means that more opportunities can arise for branding activity to be bought on exchanges and start to drive a shift away from historically retargeting heavy DR budgets.

For more information please visit http://www.infectiousmedia.com/index.php?page=our-products

What’s next for Google?

There’s an article on Business Insider today which in turn quotes a great Business Week article from 2000 that insightfully asked ‘How will Google ever make money?’

The crux of the article is this:

‘The company’s adamant refusal to use banner or other graphical ads eliminates what is the most lucrative income stream for rival search engines. Although Google does have other revenue sources, such as licensing and text-based advertisements, the privately held company’s business remains limited compared with its competitors.’

This is interesting for a couple of very different reasons.  Firstly, as a historical reminder that Google flipped the industry on it’s head in breathtaking fashion.  They did away with the predominant image based ad, borrowing the business model of Overture to serve text ads linked to an auction pricing model and took something new to market.  At the time (as a media buyer) I certainly didn’t believe it would work, preferring, instead, the glamour of AltaVista (RIP) banner advertising to the three line text ad on Google.  Fast forward to 2009 and Google is the biggest ‘media owner’ in the world, generating $6bn of advertising revenue per quarter.

The second interesting point to come out of the Business Insider article is linked to comments made recently by Eric Schmidt, speaking at the Morgan Stanley technology conference.  When asked about where Googles growth in revenues would come from, he replied:

‘Where is [our] next source of revenue? [The] next source is current business functioning better. Next and adjacent is a set of display businesses and an exchange being built from DoubleClick business.’

A slight change of tactics from their stance back in 2000 but the reality is that the market for text ads is maturing and growth is levelling off.

There are few details on the Google exchange product but this time they have bought the business that they will use to to leverage display (Doubleclick), instead of borrowing the model and being sued at a later date. So what could this product look like, given that Schmidt sees it as so crucial to revenues going forward?  Well, instead of thinking about Google as a purveyor of text ads on the search results page, think about them as the largest owner of intent data in the world through their search engine.  One way they’ve used this intent data is to serve text ads against search tems, but this is only one execution of an ad against a hugely powerful data set.  Through a display media exchange it becomes possible to intelligently  serve display ads against that data on any site, which will open up a huge new market to Google in highly targeted display advertising.

To make this a reality, a big challenge for Google to overcome is the issue of data privacy. Two weeks ago Google made a significant announcement around a basic ‘behavioural’ targeting product across You Tube and its Ad Sense network. It was only a matter of time before this happpened, but they have clearly gone to great lengths to introduce it in a simple, (relatively) transparent and cautious way. The media whipped up an ‘information privacy’ storm around Phorm in the UK, and it seems that Google may have been waiting for that to die down a little before dipping their toe in the water in a very controlled way (with plenty of user control and opt out-ability). The obvious omission from the announcement was the use of Googles search data in the targeting formula.  Make no mistake, this will come in the future (Yahoo! announced their own Search/Behavioral retargeting solution last week), but Google may be waiting for people to become comfortable with this simple behavioral model first, before ramping up the sophistication with the reams of data they hold.

Much of this is still speculation, as things are heavily under wraps, but the Google Exchange isn’t too far away and there’s little doubt they have both the data and the distribution channel to make this the market leading product in display, flipping the market back on its feet and with display advertising on a more even footing once again.

We’d love to hear what you think…