They use AI to unify customer data from any source, segment customers, select the best channels to reach them and send relevant messages making marketing more efficient and targeted.
Blueshift’s platform increased Slickdeals’ engagement and revenue effectively.
45%
User engagement growth with personalized marketing journeys.
65%
Increase in deal postings through predictive analytics.
1.
Situation
Slickdeals, a popular online deal-sharing site, wanted to increase user engagement and revenue by leveraging predictive insights from Blueshift.
2.
Task
The goal was to automate personalized marketing journeys and identify critical user behaviors that lead to increased engagement and revenue.
3.
Action
Using Blueshift’s AI-powered platform, Slickdeals implemented predictive analytics, lookalike modeling, and cross-channel marketing to deliver the right message at the right time to the right audience.
4.
Result
As a result, Slickdeals grew its deal postings by 65% and significantly increased revenue by recognizing and engaging with up-and-coming power users.
Keywords
PREDICTIVE ANALYTICS
PERSONALIZED MARKETING
AI-POWERED PLATFORM
CUSTOMER ENGAGEMENT
LOOKALIKE MODELING
CROSS-CHANNEL MARKETING
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1.
What types of customer data does your CDP collect, unify, and activate (first-party, transactional, behavioral, intent, etc.)?
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Does your CDP support real-time data processing and audience segmentation?
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How does your CDP help with personalization across marketing channels (email, SMS, paid media, website, etc.)?
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How does your platform handle compliance with privacy laws (GDPR, CCPA) and cookieless tracking?
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7.
Do you offer built-in AI/ML capabilities for predictive analytics, audience scoring, or recommendations?
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What reporting, analytics, and attribution features does your CDP provide?
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9.
How does your CDP enable activation of customer data for paid media, especially on platforms like Google, Meta, TikTok, and Amazon DSP?
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10.
What is your pricing model (flat fee, usage-based, or data volume-based), and how does it scale?
