Customer Data And Analytics Powerpoint Ppt Template Bundles

Slide 1: This slide introduces Customer Data Analytics. State your company name and begin.
Slide 2: This slide represents the best practices which can be followed for customer analytics by organizations and include customer engagement, optimized journey, etc.
Slide 3: This slide gives an overview of top customer analytics tools for businesses which include adobe analytics, amplitude, google analytics 360 and mixpanel.
Slide 4: This slide highlights the major types of customer analytics used in businesses which include segmentation analytics, customer acquisition analytics, etc.
Slide 5: This slide outlines the three step plan for customer analytics which include gather data, centralize and analyze using marketing and customer analytics tools.
Slide 6: This slide showcases the customer analytics lifecycle process which include customer segmentation, optimize sales lead, personalization, pricing optimization, etc.
Slide 7: This slide discusses the common features of customer analytics landscape which include funnel analysis, market segmentation, KPI tracking and data governance.
Slide 8: This slide gives an overview of the key parameters for analytics of voice of customer which include social media listening, focus groups, surveys, reviews, etc.
Slide 9: This slide represents the customer service analytics tool dashboard which include components such as all users, segments, new paying, tags, etc.
Slide 10: This slide presents an overview of global advanced market analytics for customers which include customer analytics, risk analytics, big data analytics, other types, etc.
Slide 11: This slide highlights the ways to use predictive analytics to boost customer retention which include predict lifetime value, forecast churn, customize campaigns, etc.
Slide 12: This slide represents the key customer analytics metrics for businesses which include average revenue per account, net promoter score, churn rate, etc.
Slide 13: This slide discusses the key sources of data for customer analytics which include unstructured social data, transactional web data and multichannel data.
Slide 14: This slide outlines the key industries using customer predictive analytics which include real estate, higher education, food delivery, supply chain, etc.
Slide 15: This slide illustrates the customer behavior analytics for market growth from the year 2022 to 2030 and states the CAGR which is 18.85% for the years.
Slide 16: This slide depicts the four actions for successful customer analytics programme which include customer data foundation, analytics models and actions.
Slide 17: This slide illustrates Customer analytics performance tool icon.
Slide 18: This slide displays Predictive analytics for customer behavior icon.
Slide 19: This slide illustrates Customer preference data for analytics icon.
Slide 20: This slide shows all the icons included in the presentation.
Slide 21: This slide is titled as Additional Slides for moving forward.
Slide 22: This slide presents Bar Graph with two products comparison.
Slide 23: This is a Timeline slide. Show data related to time intervals here.
Slide 24: This slide depicts Venn diagram with text boxes.
Slide 25: This is a financial slide. Show your finance related stuff here.
Slide 26: This slide contains Puzzle with related icons and text.
Slide 27: This is Our Goal slide. State your firm's goals here.
Slide 28: This is an Idea Generation slide to state a new idea or highlight information, specifications etc.
Slide 29: This slide provides 30 60 90 Days Plan with text boxes.
Slide 30: This slide shows Post It Notes for reminders and deadlines. Post your important notes here.
Slide 31: This is a Thank You slide with address, contact numbers and email address.