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Analyze Corps

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"Turns customer data into strategic marketing insights."

This company turns your customer data into marketing insights. It processes your customer lists to reveal behavior and trends. This helps you to improve your marketing strategies, understand your audience better, and increase sales through targeted communication. You just upload your data, and they deliver easy-to-understand reports.
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Analyze Corps's Website Claims...
Our AI found these claims on Analyze Corps's website.
Data-driven insights
Analyze360 claims that it can transform customer or marketing lists into advanced insights like consumer behavior, lifestyles, demographics, and trends in minutes!
Cross-selling & upselling
Analyze360 claims that it can help exploit every innovative aspect of a product or service and emphasize the unique aspects that set a company apart from large corporations.
Overcoming communication barriers
Analyze360 claims that with consumer segmentation insights, companies can evolve their marketing strategy to be connected with their audience.
BlurbSTAR Case Study
Angi & AnalyzeCorp
Using Analyze360TM, Angi increased review responses significantly.
45%
Increase in response rate
20,000
High-potential reviewers identified
1.
Situation
Background on Angi's Challenge
Angi (formerly Angie’s List) is an American home services website owned by Angi Inc., a subsidiary of IAC. Founded in 1995, Angi allows users to search for contractors for home improvement work. The platform's value heavily relies on customer reviews. Despite actively seeking reviews, only a small percentage of users provided them. To address this, Angi made 20,000 calls monthly to previous users, asking them to write reviews. However, this resulted in merely a 5% response rate, necessitating a more effective strategy.
2.
Task
Increase Review Response Rate
Angi aimed to enhance its marketing efforts towards the most valuable customers who would likely write reviews. The task was to increase the response rate of their review solicitation calls. Given the inefficiency of reaching out to 20,000 random customers every month, Angi needed a method to identify customers most likely to respond positively and write reviews, ultimately aiming to boost the effectiveness of their calls.
3.
Action
Implement Analyze360TM Solution
Angi utilized Analyze360TM (formerly Clientel) to analyze past reviewers and create a segmentation report and a unique model within the platform. This allowed Angi to pinpoint 20,000 high-potential reviewers each month rather than selecting randomly. By focusing on a targeted group identified by Analyze360TM's model, Angi optimized their review solicitation strategy, directing their phone calls towards those most likely to respond.
4.
Result
Boost in Response Rate
As a result of using Analyze360TM, Angi experienced a significant increase in review response rates, climbing from 5% to 30%. This enhancement in effectiveness directly stemmed from the more accurate targeting provided by Analyze360TM, proving the power of data-driven marketing in improving customer engagement and achieving business goals.
Keywords
ANGI
ANALYZE360TM
CUSTOMER REVIEWS
HOME SERVICES
REVIEW SOLICITATION
MARKETING
DATA ANALYSIS
CUSTOMER SEGMENTATION
RESPONSE RATE
MARTECH SOLUTION
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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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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?
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