Read how Dstillery's Custom Audiences outperformed conversion rates by 20% for Comporium, a local internet, cable, and phone provider.
Your future customers are more than just Outdoors Enthusiasts. Learn more about their unique interests and behaviors.
A theme park and entertainment resort complex has partnered with Dstillery for custom audience creation and campaign management.
A computer technology company has challenged Dstillery to engage with small business owners and decision makers to drive sales at a high Return on Ad Spend (ROAS).
A national fast food chain pivoted their digital activation strategy during COVID to drive online orders at a $5 Cost Per Online Order (CPOO).
Since 2018, a U.S. credit union has partnered with Dstillery to drive Tier 1 Product applications for their Auto Loans, Mortgage, Credit Card, and Membership offerings.
A sports footwear and apparel brand has partnered with Dstillery to drive qualified site traffic and incremental foot traffic, as measured by NinthDecimal.
An internet, cable and phone provider added incremental budget to their existing display plan with Dstillery to include OTT and Programmatic Audio.
Check out these fun audience insights across various football teams to help you learn more about the NFL's diverse fan base.
We turned to Audience Studio to learn more about the professionals, amateurs, and admirers who make up our Tennis Players Audience.
Our data cleansing solutions work together to ensure advertisers do not waste money on non-humans or inaccurate data.
Dstillery's Audience Studio offers insights on NBA Fans...Read on and you'll find that NBA players; they’re just like us.
Read the Research Paper from the MIT Sloan Sports Conference Business of Sports track.
Do you know any Golf Enthusiasts lucky enough to get their hands on a ticket? We used Audience Studio to put together a guide to ensure they don’t miss any of the action.
With over 97 million US viewers and viewers from 180 countries overall in 2018, we looked to Audience Studio to help us discover just who makes up the magic of the madness.
Our approach to demographic audiences focuses on accuracy and quality.
Dstillery helped WOW! achieve new customer acquisition, exceeding goals by about 35% on average.
Dstillery has a wide variety of audiences to assist marketers in reaching consumers who are right in the crosshairs of Cupid’s arrow.
Expect more from your audience strategy.
A streaming media brand shifted focus from subscribers to high value subscribers and tapped Dstillery to find those users who will stay for at least three billing cycles.
MAP offers visualization of your brand’s target audience. This brings a new level of scale and resolution to geospatial insights for brands.
Dstillery helped leading footwear brand drive $2.44 in revenue for every $1 invested. Read this case study to find out how.
We've created a wide variety of audiences to help you reach resolution-makers in the new year.
Dstillery's guidelines for responsible targeted healthcare advertising.
Gear up this basketball season with Dstillery's Crafted Audiences for NBA teams. Here is an example of the types of insights you can find for Golden State Warriors Fans.
The marketing landscape is saturated with data providers. How do know which partner is right for you?
Shopper insights from the National Retail Foundation.
Football season is here! Discover insights on audiences for each of the 32 teams.
Discover top content engagement across your audiences.
Discover your best audience activation strategies.
Dstillery’s Audience solutions help you discover and activate new potential customers that align with your Brand DNA, to drive awareness, engagement and ultimately revenue growth.
Discover multifaceted audiences based on your consumers' in-market behaviors
Demystifying Artificial Intelligence, Machine Learning & Data Science
Read the 2017 KDD Award winning paper on improving delivery by bidding for what you can win
This paper examines ways to estimate the causal effect of display advertising on browser post-view conversion.
Through an analysis of mobile device location data and online browsing behavior associated with devices from MLB stadiums during the 2015 season, we are able to shed light into an area of advertising that has previously been difficult to quantify.
In this paper, we will show examples of how non-intentional traffic adversely affects both general analytics and predictive models, and propose an approach using co-visitation networks to identify sites that have large amounts of non-intentional traffic.