This company helps you automate marketing messages across multiple channels like email, mobile, and web using real-time data. It allows you to create personalized customer journeys and campaigns that adapt dynamically, improving the relevance and timing of your outreach.
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Iterable Stated Claims
These are public claims Blurbs AI believes to have been made by Iterable.
customer-centric approach
Iterable claims that its platform is designed to build one-on-one relationships with each customer using real-time data for individualized messaging.
harmonized cross-channel experience
Iterable claims that its platform connects with customers across web, email, SMS, in-app, and more channels to deliver thoughtful, harmonized experiences.
dynamic automated journeys
Iterable claims that its platform enables creating automated journeys that dynamically respond and adapt to customers' signals in real-time.
Effective API integration drastically boosted user engagement.
30%
Increase in average open rates with AI-driven optimization.
45%
Email campaigns result in significant improvements in user engagement.
1.
Situation
Thirty Madison sought to improve engagement and personalization in its healthcare services, but faced operational inefficiencies and struggled to leverage data with its new marketing platform, Iterable.
2.
Task
They aimed to integrate Iterable’s API to streamline operations, improve automation, and implement a reactivation program targeting dormant users to boost engagement and revenue.
3.
Action
The integration of Iterable’s API enabled Thirty Madison to save 15 hours per week through efficient campaign management and automation. Additionally, they leveraged Iterable’s AI-driven capabilities to personalize reactivation efforts, sending timely messages to dormant users.
4.
Result
Thirty Madison saw a 2% improvement in Net Dollar Retention (NDR) in the first month, increasing to 9% after five months. Their reactivation rate also improved by 5%, contributing significantly to revenue growth through better user engagement.
Keywords
AI MARKETING
CUSTOMER ENGAGEMENT
REACTIVATION CAMPAIGN
PERSONALIZATION
ITERABLE API
NET DOLLAR RETENTION
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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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2.
Can your CDP integrate with our existing tech stack (e-commerce platform, CRM, ESP, ad platforms, etc.)?
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3.
How does your CDP handle identity resolution across different devices, channels, and platforms?
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4.
Does your CDP support real-time data processing and audience segmentation?
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5.
How does your CDP help with personalization across marketing channels (email, SMS, paid media, website, etc.)?
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6.
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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8.
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?