Optimizely’s Post

Looking for a way to streamline the process of gathering customer data? Optimizely Data Platform (ODP) and Opal are here to save the day! With just one click, our Customer Summary Generator transforms your ODP customer profiles' historical data into a digestible written summary. Find more information on this integration here: https://ow.ly/xsQU30sESKe

Looking for a way to streamline the process of gathering customer data? Optimizely Data Platform (ODP) and Opal are here to save the day! With just one click, our Customer Summary Generator transforms your ODP customer profiles' historical data into a digestible written summary. Find more information on this integration here: https://ow.ly/X7lC30sEKN3

You’ve got big growth goals, but your tools don’t integrate, your analytics are missing key context, and your dev team can help “next month.” Sound familiar? ✋ 👉 Join our upcoming product showcase for 3 no-code ways you can use Data Pipelines to access, analyze, and act on your data. https://bit.ly/47AqCPg #customerdataplatform #cdp #datapipelines

Delving deep into customer data, I've uncovered invaluable insights to proactively predict and engage with at-risk customers, ultimately driving growth and revenue. 🚀 Using Power BI's advanced analytics capabilities, I modeled customer journeys and pinpointed breakpoints along the way. Through interactive dashboards, I've crafted a comprehensive 360-view of the predictive factors driving churn. But it doesn't end there! My analysis translates insights into actionable strategies across the entire customer lifecycle. Marketing and sales leaders can now leverage these insights to retain and nurture loyal customers effectively. Here are some questions this analysis can answer for telecom companies: 1. Are there opportunities to upsell or cross-sell to at-risk customers to increase their loyalty and lifetime value? 2. How do different pricing plans or service offerings affect customer retention rates? 3. Are there regional differences in churn rates, and if so, what factors contribute to these variations? 4. How does customer satisfaction and service quality correlate with churn rates, and what actions can we take to enhance the customer experience and reduce churn? #customerexperience #customerjourney #PowerBi #DAX #retentionstrategies

Are you struggling to make data-driven decisions for your eCommerce business? Understanding how to optimise stock levels, pricing, and customer lifetime value can make a huge impact on your bottom line. Take our eCommerce Data Optimisation Score quiz (link in first comment) to uncover areas for improvement and discover tools to help you succeed.

It's cheaper to keep existing customers than finding new ones #krakencode #businessanalytics #data #customers #business #strategy #smallbusiness

🌐 Dive deep into the world of data enrichment and witness your SMB's customer understanding reach new heights! 🚀✨ Explore the advantages of profile enrichment, real-world context, and reliable third-party data. Transform your business insights and stay ahead of the competition. Ready for a data-driven revolution? 💻📈 #DataEnrichment #CustomerInsights #SMBGrowth https://go.bp212.com/LGEc

Two things you need to get value from customer data: 1. Solve the foundational problem of unifying the data 2. Use that quality data to power all your tools, teams, and strategies Better data makes everything else work better. Is your customer data toolset doing that for you?

Businesses of all sizes want in on big-data analytics to cut costs, improve customer service, increase profits and identify and solve problems. https://wsd.ke/1mkqbi #DataAnalytics #BigData #DataAnalysis #BusinessData #BusinessIntelligence #BusinessDecisions #DecisionMaking #CustomerExperience #MachineLearning #ArtificialIntelligence #DigitalMarketing #ConsultingBusiness #AscendService #WebSoftDevelopment

Case Study: Analyzing Customer Churn in Power BI ✔