Blueshift has been key to creating personalized, automated journeys while also increasing efficiencies. We’re able to leverage predictive capabilities to identify the secret recipe for finding the right time and the right channel to send the right message.

Kristina Paulos
Kristina Paulos Dir. of CRM Marketing, Slickdeals
Picture of man in a blue jacket, with a red backpack, checking his phone while walking his bike in an urban area with the slick deals logo overlaying the image.

Increasing Community Engagement With Predictive Analytics

Online deal-sharing site Slickdeals grew its deal postings by 65% thanks to predictive insights from Blueshift. Using lookalike modeling, Slickdeals’ Director of CRM Marketing, Kristina Paulos and her team identified the same signals and behaviors of up and coming power users, which ultimately helped the company increase revenue.

Interview with Kristina Paulos, Director of CRM Marketing at Slickdeals

Data-Driven Marketing as a Growth Strategy

Kristina Paulos:
Slickdeals is the internet's largest deal-sharing platform, and we've recognized that data-driven marketing is essential to our success. Partnering with Blueshift was a strategic decision to give us real-time insights into customer behavior—so we could automate, personalize, and scale our marketing in smarter ways.

Personalization and Predictive Intelligence

We use predictive analytics to crack the “secret recipe”: sending the right message at the right time through the right channel. Tools like predictive open and click scores help us measure user engagement levels. That, in turn, dictates how frequently a user receives our core marketing asset—the Deals Newsletter.

Identity Resolution and Website Signals

Identity resolution has become a huge priority for us. We want to deliver consistent, relevant messages across devices and channels. The key to unlocking that has been integrating the right data signals from our website into Blueshift. That includes deal detail views, outclicks, searches, votes, and comments—these inputs now power our remarketing programs, personalized product recommendations, and more.

Turning Around Power User Engagement

We faced a critical challenge when we noticed a decline in activity from our power users—the lifeblood of our platform. Once Blueshift was in place, we began piping in detailed engagement signals and built segmented audiences around those behaviors. Using Blueshift’s lookalike modeling, we identified new users displaying similar traits and developed lifecycle programs that triggered rewards for actions like posting or sharing deals.

As a result, deal postings are up 65%, and our revenue has grown with it. We’re not just seeing existing users re-engage—we're growing our core base of power users.

Driving Loyalty Through Smart Journeys

Ultimately, our goal is to create a customer journey that feels rewarding—one that encourages users to keep coming back. And when you see results like this, it’s incredibly validating. It tells us that we’re not just growing as a business—we’re helping people make smarter buying decisions and save money in the process.