Product Analytics完全ガイド

Product analytics examine the behavior of users within your product, providing critical information to optimize performance, diagnose problems, and correlate user activity with long-term value. It offers a user-focused view across various channels and platforms, enabling you to monitor user behaviors across sessions and over time. Product analytics helps answer key questions about user journeys, such as what steps customers are taking, who started on one device and then switched, and when customers are being lost.

Here are some examples of what you can do with product analytics:

Understanding and improving complex journeys to drive conversion

• Identifying user journey stages: It helps you understand what stage first-time buyers are in and what drives them to return for a second purchase. For instance, a retailer can determine how many orders customers make per week/month or how long it takes users to add to a cart and update it before delivery, helping you identify patterns and drive more orders.

• Optimizing cross-device journeys: You can see the complete user journey even when users switch between devices, distinguishing between true drop-off points and simple device switches. This is crucial for optimizing messaging at the right moment for the right users. Contentsquare Product Analytics allows you to track users across multiple devices and identify true drop-off points versus device switches.

• Increasing purchase frequency: Product analytics helps you identify key behaviors associated with repeat purchasers, so you can increase how often customers buy from you.

• Analyzing multi-session conversions: For high-consideration products, you can analyze how many sessions it takes for users to convert. This is available directly from Contentsquare's Zoning and CS Live modules, showing the percentage of users who convert in the same session, next session, third session, or after 4+ sessions.

Driving engagement by understanding key drivers & preventing churn

• Understanding feature adoption: Product managers can use product analytics to understand which features bring users back and contribute to retention. For example, in an online banking service, a Product Manager can use product analytics to understand how and how much users interact with newly developed features, helping them improve the product and prioritize development.

• Measuring retention rates: You can measure retention rates across different paths and actions, identifying key actions or campaigns that help bring customers back. For content-based services like streaming providers, you can see which users use features like "add to playlist" and how long it takes them to actually view or listen to the item, enabling you to trigger reminders or confirm engagement.

• Identifying churn factors: If you're seeing high unsubscription rates, product analytics can help you understand what makes users unsubscribe and how to avoid churn. For example, a digital newspaper can analyze the amount of articles read by users per day/week/month to identify engagement levels and retention drivers.

Optimizing product investments by making data-driven decisions

• Prioritizing features: Product analytics allows you to understand how users interact with new features, even without extensive tracking or engineering resources. This helps you optimize product investments by identifying the most successful features, deprecating underperforming ones, and prioritizing new features based on user behavior.

• Measuring onboarding effectiveness: For new users, you can measure the effectiveness of onboarding journeys and understand triggers for second-time visits and subsequent engagement.

• Understanding feature engagement: You can track engagement with specific features, like navigating a left-hand menu, to see which ones are used most frequently and drive value. The top features (e.g., adding accounts, paying bills, deposits) often show higher "stickiness".

少し偏見があるかもしれませんが、ContentsquareのProduct Analyticsは製品分析のための最高のリソースだと信じています。 詳細なインサイト、使いやすいダッシュボード、包括的なデータにより、チームは迅速かつ容易にデータ主導の意思決定を行い、製品エクスペリエンスを向上させ、コンバージョンを高め、成長を促進することができます。 

Product Analyticsは、プロダクトのパフォーマンスを向上させ、ユーザーを喜ばせ、共鳴させるデジタル体験を継続的に創造する方法に関する重要な情報を提供します。 

Product Analyticsはそれだけじではありません...

• ガイド 製品開発

• リテンション率の向上

• マーケティング戦略の最適化

• 顧客生涯価値（CLV）の向上

• ビジネス上の意思決定に役立てる

Product Analyticsは、複数のセッションにわたるプロダクトとのユーザーインタラクションに焦点を当て、機能の採用、ユーザー・ジャーニー、製品全体のパフォーマンスに関するインサイトを提供します。 対照的に、Digital Experience Analytics（DXA）は、1回のセッションでウェブサイトやアプリ全体のユーザーエクスペリエンスを調査し、不満や満足のポイントを特定します。 Web analyticsは、訪問者数、最も訪問されたページ、セッション時間など、ウェブサイトのトラフィックとパフォーマンス指標を追跡します。

Contentsquare provides a robust set of features to enable product analysis:

• Automatic data capture: It captures all the data automatically for both web and apps, ensuring a comprehensive view of behavioral and performance data. You do not need to know JavaScript to install a heatmap or collect data; Contentsquare provides a detailed setup guide for tracking code placement [Q5].

• User-focused views: The Users module allows for in-depth analysis of individual users, providing insights into their activity and demographics.

• Cross-session & cross-device journeys: You can analyze user behavior across multiple sessions and devices, crucial for understanding complex journeys that span over time.

• AI-powered insights (Sense): Contentsquare's Sense AI acts as an intelligent agent that can anticipate your needs, accomplish tasks, and take action automatically. Sense in Product Analytics allows you to ask analytics questions in natural language, generate charts, and receive AI-generated summaries and follow-up suggestions.

• Deep integration with other modules: Product analytics is seamlessly integrated with other Contentsquare features like Session Replay, which allows you to watch replays of users based on specific behaviors or drop-off points in a funnel. You can also see heatmaps directly.

• Advanced filtering and comparison: Features like Custom Date Comparisons allow you to compare unique fiscal periods or different lengths of time. Filter enhancements enable you to add segments and select multiple values for filters on dashboards.

• Key metrics for conversion and retention: New metrics like User retention (percentage of users who return in another session after viewing a page) and Multi-session purchase rate (percentage of users who transact in any session after viewing a page) are available directly in modules like Page Comparator. The platform also offers metrics like Average Lifetime Revenue per user in Zoning and Page Comparator to help you understand which pages drive the highest lifetime value.

• Seamless user experience: For mutual Contentsquare and Heap customers, a seamless SSO (Single Sign-On) ensures a fast transition between platforms without re-entering credentials.

By combining quantitative and qualitative data, Contentsquare empowers every team to make data-driven decisions and achieve a comprehensive view of the customer journey, bridging the "what, who, when" from Product Analytics with the "why and how" from Digital Experience Analytics.