While the programmatic advertising systems perform at sub-second speeds, reporting and data insights can take hours, days, and weeks, resulting in slow business decisions and lost revenue. With real-time advertising analytics from Metamarkets, publishers, ad exchanges and DSPs are able to gain clear visibility into their entire trading systems and understand their revenue drivers. Find out how customers like MoPub and FinancialTimes.com are using Metamarkets to quickly grow their businesses.
Presenter: Tom Lorek, director of strategic partnerships, Metamarkets @metamarkets
13. customer examples
“Using the Metamarkets dashboard, I immediately
justified a 33% price increase- all over the phone, no
follow-ups necessary.”
Jon Slade
Director, Digital and Strategic Advertising Sales
Financial Times/ FT.com
“It’s amazingly simple and fast to see our
marketplace data in the Metamarkets application.”
Jim Payne
CEO and Co-Founder
MoPub
14. Thank you!
Tom Lorek
Director of Strategic Partnerships
sales@metamarkets.com
www.METAMARKETS.com - @METAMARKETS
Notes de l'éditeur
INTRO: Tom Lorek, Director of Strategic Partnerships at Metamarkets. MMX: Founded 2010 Incredible Scalability >> Accessibility >> HUGE increases in data querying Speed. Our speed fundamentally changes how data is used by the business users we cater to.
We believe MMX delivers on the NEED FOR SPEED in Ad-TechData Scientists saved for truly large tasksEmpowers ad ops and account managers to solve their day-to-daydata-reliant problems ON THEIR OWN.
Boom.I think the comparison is apt. 1984 was when Super Dot 250, an electronic order routing system was introduced to the NYSE. Three years later, Black Monday happened when brokers couldn’t keep up with the volume of those electronically routed orders.CSV Files also constrain your ability to analyze data. They put your brain in a CAGE.Pre-Selected, Pre-Defined to ANSWER A PREVIOUS QUESTION. Might not be your question!Fields to answer your question might be available, but, because you’re looking at a pre-defined report, unless you’re a SQL jock with access to your data mart YOU WON’T KNOW.
Big Data equivalent of Portal versus Search Portals force you to use their link structure to answer your question and find the information you’re looking for.Search is dynamic. Since the Internet is cached regularly, your queries are answered instantly and you can keep approaching the problem from different angles. And Search SCALES. Constantly having to create a new link – or a NEW REPORT every time a new question crops up isn’t sustainableAnd I think we know who won outWhen was the last time you dove into a portal’s categories to find an answer to a question rather than using the search box? For those that remember: When was the last time you used this:
The current state of RTB Reporting is a card catalog: Static, impenetrable, and daunting.I’m now going to so you how MMX solves that problem and benefits your media business: We allow you to 1. find insight in your data fast by iterating through multiple approaches to a problemdata-supported adjustments to prices, bids, volumes, segment composition or creative testing quickly, solve ad hoc problems as they occur, without relying on a Data Science team to produce a new report.
Here’s an example: Once logged into the tool, I’m able to Identify an eCPM spike among my sitesFind the sites most responsible for that spike and separate out their data.Then drill down into the buyers on my exchangeAnd find the buyers who are suddenly paying more. I’ve found the spike in record time.Now all this occurs at just the speed you’ve seen here. And we can surface this data into a dashboard 6 SECONDS after a trade occurs. Try that with a pivot table.
Discovery Feed:Find big changes in your Data set that you need to respond to RIGHT NOW.Here we see a big spike in eCPM. We click on that entry and…
We see the spike highlighted and the driver for the spike in Rome singled-out.Further drill downs into spike. Is it higher advertiser demand? A constraint in publisher supply? Some seasonal confluence in the Italian market? Quickly concentrate on the key questions.
Favorites are views of the data you find yourself doing over-and-over again. Here, we have selected a number of different sites, to represent the accounts in a particular account manager’s portfolio of acocunts.
Visualizations for Every Data Set, filtered or not:heat maps, Bar chartsScatterplotsAnd we are constantly creating more.
Fast tools mean happy, more efficient customers. And when you have instantaneous knowledge of what’s going on with your business, you can make quick decisions that improve that business, like Jon Slade at FT.