GenAI for Customer Analytics and Insights with JUNE
Introduces JUNE customer analytics use cases, platform setup for data collection/analysis, AI-generated reports, and using those insights to inform product decisions, the page also tags data-driven marketing
Introduces JUNE customer analytics use cases, platform setup for data collection/analysis, AI-generated reports, and using those insights to inform product decisions. The page also tags data-driven marketing
Audience and starting point
Basic understanding of product analytics and familiarity with SaaS products are recommended
Practice and assessment
Assessment: Published listing: 2 assignments. Advertised AI grading. Actual marking quality and instructor feedback untested. 1 peer-review activity listed. This does not establish instructor assessment. Retained assessment detail: Published listing: 2 assignments. Advertised AI grading. Actual marking quality and instructor feedback untested. 1 peer-review activity listed. This does not establish instructor assessment
Access and subscriptions
Check enrollment and software access
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
Shared topic: Customer analytics and personalization
Anton Voroniuk
Use DeepSeek for competitor research, customer-journey workshops, strategic analytics, customer insight/content and marketing operations before a business strategy/risk register. The page also lists a large bonus course bundle, none of…
58 sections • 679 lectures • 52h 9m total lengthCheck current priceEnglish
Shared topic: Customer analytics and personalization
Chartered Institute of Marketing (CIM)
Use predictive analytics to forecast customer behavior, develop data-driven personas and segmentation, apply sentiment analysis/product-market-fit insights, create dynamic content and chatbot/virtual-assistant interactions across…
1 dayGBP 525 · From £525, excluding VAT. Virtual. Member discount advertisedAsk about teaching language
Shared topic: Customer analytics and personalization
Coursera
One module teaches applied customer-data workflows: AI-driven feedback processing, customer segmentation, trend forecasting, personalized interactions, and using results to improve customer experience and retention. The page includes…
Published estimated study commitment: 3 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish