Telco Case Study
Case Study
Read how Dstillery's Custom Audiences outperformed conversion rates by 20% for Comporium, a local internet, cable, and phone provider.
Dstilled: Outdoors Enthusiasts
One Sheet
Your future customers are more than just Outdoors Enthusiasts. Learn more about their unique interests and behaviors.
Theme Park & Resort Complex Case Study
Case Study
A theme park and entertainment resort complex has partnered with Dstillery for custom audience creation and campaign management.
Computer Technology Company Case Study
Case Study
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).
Fast Food Chain Case Study
Case Study
A national fast food chain pivoted their digital activation strategy during COVID to drive online orders at a $5 Cost Per Online Order (CPOO).
Credit Union Case Study
Case Study
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.
Retail Footwear Brand Case Study
Case Study
A sports footwear and apparel brand has partnered with Dstillery to drive qualified site traffic and incremental foot traffic, as measured by NinthDecimal.
Multi-Format (Telco) Case Study
Case Study
An internet, cable and phone provider added incremental budget to their existing display plan with Dstillery to include OTT and Programmatic Audio.
Dstilled: NFL Fans
One Sheet
Check out these fun audience insights across various football teams to help you learn more about the NFL's diverse fan base.
Dstilled: Tennis Players
One Sheet
We turned to Audience Studio to learn more about the professionals, amateurs, and admirers who make up our Tennis Players Audience.
Dstillery Hygiene Patents
One Sheet
Our data cleansing solutions work together to ensure advertisers do not waste money on non-humans or inaccurate data.
Dstilled: NBA Fans
One Sheet
Dstillery's Audience Studio offers insights on NBA Fans...Read on and you'll find that NBA players; they’re just like us.
The Horizon of Sports is Digital
White Paper
Read the Research Paper from the MIT Sloan Sports Conference Business of Sports track.
Dstilled: The Masters
One Sheet
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.
Dstilled: March Madness Audiences
One Sheet
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.
Dstillery Demographic Audiences
One Sheet
Our approach to demographic audiences focuses on accuracy and quality.
Dstillery Helps WOW! Drive New Customer Acquisition
Case Study
Dstillery helped WOW! achieve new customer acquisition, exceeding goals by about 35% on average.
Dstilled: Valentine's Day Audiences
One Sheet
Dstillery has a wide variety of audiences to assist marketers in reaching consumers who are right in the crosshairs of Cupid’s arrow.
Audience Studio
One Sheet
Expect more from your audience strategy.
Dstillery Finds High Value Subscribers for a Streaming Media Brand
Case Study
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: Actionable Geospatial Audience Insights
One Sheet
MAP offers visualization of your brand’s target audience. This brings a new level of scale and resolution to geospatial insights for brands.
Dstillery Helps Leading Footwear Brand Drive Net New Customers
Case Study
Dstillery helped leading footwear brand drive $2.44 in revenue for every $1 invested. Read this case study to find out how.
Dstilled: New Year’s Resolution Audiences
One Sheet
We've created a wide variety of audiences to help you reach resolution-makers in the new year.
How To Navigate Healthcare Advertising
One Sheet
Dstillery's guidelines for responsible targeted healthcare advertising.
Dstilled: NBA Audiences
One Sheet
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.
Top Questions to Ask your Data Provider
One Sheet
The marketing landscape is saturated with data providers. How do know which partner is right for you?
Dstilled: Holiday Retail
One Sheet
Shopper insights from the National Retail Foundation.
Dstilled: NFL Audiences
One Sheet
Football season is here! Discover insights on audiences for each of the 32 teams.
Affinity Heatmap
One Sheet
Discover top content engagement across your audiences.
Audience Rank
One Sheet
Discover your best audience activation strategies.
Dstillery Audiences
One Sheet
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.
Audience Insights
One Sheet
Discover multifaceted audiences based on your consumers' in-market behaviors
AI: Overhyped and Misunderstood?
One Sheet
Demystifying Artificial Intelligence, Machine Learning & Data Science
Blacklisting the Blacklist in Online Advertising
White Paper
Read the 2017 KDD Award winning paper on improving delivery by bidding for what you can win
Estimating The Effect Of Online Display Advertising On Browser Conversion
White Paper
This paper examines ways to estimate the causal effect of display advertising on browser post-view conversion.
Using Digital Signals To Measure Audience Brand Engagement At Major Sports Events: The 2015 MLB Season
White Paper
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.
Using Co-Visitation Networks For Classifying Non-Intentional Traffic
White Paper
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.