The WhatRunsWhere team is excited to be attending Affiliate World Europe for the first time! Our team will be touching down in Berlin on June 13 to join the rest of our peers in the Affiliate Industry.
We hear a lot about Big Data lately. It’s the newest trend shaping marketing practices for 2016. But when we think about it, this kind of mass data collection has been happening for years; when we swipe our credit cards at the mall, when we fill out a survey for that free giveaway and when we order pizza to our home address. While many people are skeptical and even fearful of Big Data, we’re looking at ways you can use it to your advantage when it comes to affiliate marketing.
The affiliate marketing landscape is constantly being impacted by new technologies, emerging trends and the availability of information. Big Data is yet another trend that is paving a new path for affiliate marketers and managers. How does affiliate marketing change in the presence of Big Data? What opportunities does Big Data bring to affiliate marketing? And how can this data be leveraged to build more profitable affiliate programs?
Competitive intelligence is the secret weapon to taking control of your business’ online marketing strategy. The more you know about your competitors, the better. Where are your biggest competitors advertising online? What traffic sources are they using? What offers are they running? Which of their ads are performing best? These are all important questions to consider when developing your own advertising plans.
In today’s digital age, having a competitive advantage is more important than ever. Our data helps you craft more efficient, creative marketing strategies to grow your brand more effectively. All of which results in a positive jolt for both your CTR and overall ROI.
Our CEO and Co-Founder, Max Teitelbaum, talked to HostingAdvice.com to discuss the importance of competitive analysis in business, its significance for site owners, and how our technology is better equipped to help digital marketers leverage more data without spending an arm and a leg.
The interview takes you behind the scenes of WhatRunsWhere, explaining how you can leverage our data to help you make more informed media-buying decisions.
You can read the full article here.
This is the first article in an exclusive series that explores the complex world of Programmatic Media Buying. If you’d like to suggest a topic, please email us.
An Introduction to Programmatic Buying
I’m sure you hear this word thrown around quite a bit. Programmatic Media Buying – it’s ‘the future of online advertising’ – a means to completely remove all manual processes in digital advertising.
It’s an important buzzword that many people know of and use. But let’s be honest, there’s a lot of confusion surrounding this term and few actually know what it means.
Programmatic In a Nutshell
In short, programmatic media or ad buying is the use of technology to automate and optimize the ad buying process in real-time.
A simplified example of programmatic is the use of ad networks like AdWords, which is powered by algorithms, to serve highly targeted ads at viewers.
But programmatic has evolved to be much more complex than this. Once exclusive to search and display ads, programmatic now includes many more mediums, like video, and can be done across multiple channels (desktop and mobile).
Generally, it is a catch-all term that encompasses the leveraging of big data and technology including ad networks, ad exchanges, trading desks, demand-side platforms (DSPs), supply-side platforms (SSPs), exchange-based buying of ad inventory, real-time bidding (RTB), and ad networks to serve targeted and relevant experiences to consumers across channels. On the back end of things, algorithms filter ad impressions derived from consumer behavioral data, which allows advertisers to define budgets, goals, attribution, and optimize for reduced risk while increasing ROI with ease.
That’s a lot of jargon. Confused? Me too.
Before we even begin to understand the many intricacies of programmatic media buying, we need to know why it came into demand, and define the many elements that programmatic encompasses.
So let’s break this down, and take it one step at a time.
Skip the busy dressing rooms. Forget the parking lots. Why head to the mall when you can shop for all the latest trends from the comfort of your home?
When online shopping was first introduced, many doubted that it would ever take off, especially with fashion. Boy, were they wrong!
This year in the US, apparel and accessories revenue from e-commerce is expected to reach $52 billion and it’s showing no signs of slowing down. By 2018 fashion e-commerce is expected to reach a staggering $86 billion!
In our latest industry advertising report we took a look at today’s biggest women’s apparel e-tailers and what they’re doing to bring shoppers to their virtual stores.
Click HERE to check out our latest Insights & Analysis Report as we uncover the display and mobile strategies from NastyGal, ASOS, ModCloth and LuLu’s …
Big data. There – you heard it again! The buzzword that has been making its rounds in almost every tech company. Even if you are not a numbers geek, consider social media channels and you will realize how much posts, check-ins, and photos contribute to this effect.
The problem is, how do content marketers link this particular trend to their online plan? The answer is simple – all this raw data can provide incredible insight to what engages your target audience and from there, you can re-route your strategy.
So what’s so big about big data? Here are 5 key points on how to use big data effectively…
Big data means A LOT of information which you can build and plan on. Instead of relying on a trial and error approach, you can use all that data to improve customer experience or to create better customer retention. See how companies like Amazon, Netflix and others use data to strengthen customer relations by resolving issues and making product suggestions to upsell and cross-sell.
We would like to give a big thanks to Mundo Media for hosting an awesome meetup that brought together top affiliates from around the world, new emerging technologies like ZeroPark and YTZ and industry leaders, Millennial Media and DoubleClick. Our VP of Business Development, David Kelly traveled across the Atlantic last week to spread the good word about WhatRunsWhere.
So what went down?
New friends were made, partnerships were born and many fiestas were had! These smaller, more intimate meetups seem to be an exciting new trend for the performance marketing space, allowing time for great conversations and creative juices to flow. We got a chance to talk to and get to know a lot more people than we would at some of the larger conferences.
The ability to effectively reach audiences across Android phones, tablets and other devices represents an enormous opportunity for advertisers.
To meet the growing needs for better intelligence when it comes to executing a strong mobile campaign strategy, we have been undercover working on a “secret awesomesauce”. Today we are finally able to share the exciting news and our latest service… In-App ad intelligence!
What does this mean?
Advertisers can now gain access to our data of more than 20,000 Android apps. Having this intelligence means you can see where competitors’ ads are running, which specific ads are running there, who is selling those ads, and other information to help you develop a cost-effective mobile advertising campaign.
Here’s what our COO, Max Teitelbaum has to say:
This is a significant development, not only for WhatRunsWhere, but the entire Android app market. Until now, apps have been an informational black hole for marketers seeking to implement effective campaigns. Advertisers and agencies were buying ads blind, with no real performance history data showing what types of ads had worked in what apps. Now, with the introduction of WhatRunsWhere’s in-app tool, advertisers can develop intelligent strategies for deploying their mobile ad dollars, leading to a greater return on investment.
You can read the full press release on VentureBeat.