Struggling to choose between KISSmetrics and Google Trends? Both products offer unique advantages, making it a tough decision.
KISSmetrics is a Business & Commerce solution with tags like analytics, customer-analytics, engagement, funnel-analysis, cohort-analysis, customer-retention.
It boasts features such as Track customer behavior across websites, mobile apps, etc, Provide insights into customer journeys, funnel analysis, cohort analysis, etc, Integration with over 100 other tools and platforms, A/B testing, Funnel visualization, Retention analysis, Segmentation, Email and push notification integration and pros including Powerful analytics and segmentation capabilities, Easy to use and integrate, Good for understanding customer journeys and funnels, Flexible pricing options.
On the other hand, Google Trends is a Online Services product tagged with google, trends, analytics, search-volume, popularity-tracking.
Its standout features include Search volume data, Geographic breakdowns, Time comparisons, Related topics and searches, Comparison with up to 5 terms, Downloadable CSV data, Embeddable charts and graphs, and it shines with pros like Free to use, Easy to understand data visualizations, Compares search volume globally or by region, Tracks trends over custom time ranges, Good for keyword research and trend analysis.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
KISSmetrics is a customer analytics and engagement platform that allows companies to track customer behavior across websites, mobile apps, and other platforms. It provides insights into customer journeys, funnel analysis, cohort analysis, and customer retention.
Google Trends is a website by Google that analyzes the popularity of top search queries in Google Search across various regions and languages. It offers data and visualizations showing how frequently particular search terms are entered relative to total search volume over given time periods.