Product analytics tool to increase account conversion, reduce churn, and expand user seats. Analyzes user engagement and product metrics through interactive dashboards.
Features
Account Engagement Data
Track account engagement by providing metrics like conversion and activation. Credits account events and segments accounts per activity.
User-Level Engagement Data
Monitor individual user engagement and track the completion of critical product adoption steps. Calculates session details and user interactions.
Event-Level Detail
Provides granular data for each event, like activation rate and churn percentage. Helps in analyzing specific user or account actions.
Product Activation Rates
Measure how far users have progressed towards key milestones in your product, identifying activation rates.
Actionable Segments
Define custom segments based on user activity criteria, set conditions for engagement, and utilize segmentation for targeted actions.
Activation by Segment
Analyze activation rates by different user segments or groups, offering insights into which segments are more engaged.
Unlimited Actions
Allows users to perform an unlimited number of actions within the app, providing flexibility for extensive usage.
Premium Activations
Includes features like Segments and Webhooks for better targeting and automation.
Custom Segments
Create tailored segments of users to better analyze and engage with specific groups.
Scoring Profiles
Offers the ability to create scoring profiles to prioritize and manage user interactions.
Slack, Intercom, Hubspot Integrations
Enables seamless integration with platforms like Slack, Intercom, and Hubspot for enhanced communication and marketing automation.
Engagement Tracking
Track engagement for different user accounts to see who is actively using your product, allowing for targeted interventions.
Risk Identification
Identify accounts that are on the verge of churning and need immediate attention to reduce turnover.
Custom Actions
Set up automated actions based on engagement levels to spotlight at-risk accounts or those with growth potential.
Account Behavior Insights
Gain insights into how different user accounts behave differently, allowing for customized user strategies.
Activation Metrics
Analyze user engagement triggers to optimize for conversion, using filters and criteria to assess account activation.
Team Alerts
Set alerts for your team to notify them when an important account requires attention.
Integration Connections
Connect tools and platforms that assist your team in getting relevant information to take action.
Growth Opportunities
Identify and target accounts that have room to grow, optimizing engagement strategies.
Advocate Identification
Find internal advocates within user accounts who are maximizing product value, to leverage their influence.
Automated Outreach
Build automated outreach lists using engagement metrics to focus on valuable relationships.
Intercom
Send engagement data to Intercom for tighter messaging and targeting.
Slack
Get important product engagement alerts in Slack.
Glue (coming)
Empowering growth with flexible and scalable database solutions.
Hubspot
Sync key engagement data with Contact and Company records.
Pipedrive (coming)
Send product engagement scores to Pipedrive to close more deals.
Copper (coming)
Send product engagement scores to Copper to close more deals.
Salesforce (coming)
Push product data directly to your Salesforce account.
Segment (Destination)
Accoil is a Segment Destination. Send data to Segment soon.
Appcues
Send customer segments for targeted product adoption.
Jira Service Management (coming)
Product engagement data in your support desk.
Getting Started with Metrics
Guides you through understanding and setting up essential metrics for product analytics in B2B SaaS.
Implementation & Tips
Offers practical advice and strategies for implementing analytics tools and improving data accuracy.
Churn Control
Provides insights into identifying customer churn and strategies to minimize it using analytics.
Integrations
Discusses various integration options to enhance data collection and analysis, ensuring seamless operation across tools.
Task Management
Streamline task assignments and tracking with a simplified interface. Organize your team's tasks and monitor progress effectively.
Calendar Integration
Sync your project's deadlines with digital calendars to keep your team informed and on schedule.
Expense Tracking
Monitor project expenses effortlessly with real-time tracking and detailed reports to control budgets.
Invoice Generation
Create professional invoices based on tracked time and expenses, streamlining the billing process.
Collaboration Tools
Enhance team communication and collaboration through integrated chat and file sharing functionalities.
Resource Management
Allocate resources efficiently by using detailed insights into team availability and workload.
Time Tracking
Track time spent on tasks easily with built-in timers, enabling precise billing and productivity analysis.
Custom Reports
Generate detailed reports tailored to your project's needs for deeper insights into performance and outcomes.
Data Visualization
Use visual dashboards to interpret and present data clearly, making information accessible and actionable.
Sales Teams
Tracks and alerts sales teams about accounts and users who are engaging with the product actively, helping them to know when to engage further.
Customer Success
Provides engagement scores to identify at-risk accounts, helping to manage relationships and reduce churn.
Marketing
Helps in building customer audiences based on analytics, ensuring marketing efforts target the right people at the right time.
Support
Gives contextual information to help support teams focus on issues that have historical precedence or are currently trending.
Product Teams
Assesses which features increase customer engagement and which ones do not, enabling product optimization.
Help & Support
Access the helpdesk with articles and live chat for assistance.
Sales & Success
Provides answers and ideas to make the most of Accoil Analytics without hard selling.
Documentation
Offers detailed information about how Accoil works for teams.
Connect on LinkedIn
Engage with Accoil on LinkedIn for updates and connections.
Learn Analytics on YouTube
Access resources on marketplace growth and the team behind the data on YouTube.
Product Engagement Score
A comprehensive metric highlighting how deeply and frequently users engage with a product. It is important for understanding user or account health and helps focus efforts on areas needing increased engagement.
Raw Score Calculation
Calculates the frequency and weight of key events performed by users. It involves multiplying each event's occurrence by its assigned weight and summing the results.
Normalization
Processes the raw score to scale between 1-100 using the 90th percentile as a benchmark, adjusting other scores proportionally.
Frequency Measurement
Frequency measures how regularly users or accounts engage with your product, providing insights into their interaction habits. It indicates user behavior patterns and can highlight user satisfaction or the need for re-engagement.
Frequency Calculation
Frequency is calculated by looking at how many days a user was active over a certain period (like the last 7 days). The formula is: Frequency = Number of Active Days / Total Days in the Period. This shows how regularly a user is engaging.
Health Signal
A healthy signal is when users are active 5 out of 7 days, showing consistent habit building with the product. This indicates good ongoing engagement.
Warning Signal
A warning signal occurs when a user's activity drops to 2 out of 7 days, indicating that their interest may be fading or they might be facing challenges, especially if daily use is typical for the product.
Adoption Rate
Shows how much users are exploring the features in a product, indicating their level of engagement. It is calculated by dividing the number of features actively used by the total number of available features and multiplying by 100.
Signals of Health or Weakness
Indicates the level of user engagement. A healthy adoption rate is considered to be around 75%, while a 25% adoption rate may signal the need for better guidance or onboarding.
Activation Rate Calculation
Shows how close a user or account is to experiencing meaningful value in your product by completing key steps during onboarding. Activation rate is calculated by dividing the number of key steps completed by the total number of steps required for full activation, then multiplying by 100.
Health and Weakness Signals
Indicates the level of user engagement. A high activation rate signals that users benefit from the product, while a low rate suggests users are struggling with onboarding.
Usage by Onboarding Teams
Onboarding teams use activation metrics to ensure users quickly find value in the product. This helps in reducing churn and maximizing retention.
Tenure Tracking
Tracks how long a user or account has been active in the product, helping to understand the user's journey.
Personalization Insight
Helps personalize engagement strategies by understanding user tenure, thereby determining the need for extra guidance or features exploration.
Tenure Calculation
Calculated by subtracting the start date of the account or user from the current date to determine account tenure in days.
Health and Weakness Signals
Identifies accounts with steady usage as healthy, while accounts with low activation may need support.
Customer Success Teams Use
Teams use account tenure information to tailor support strategies to meet user and customer needs.
Last Active Metric
Shows the most recent interaction a user or account had with your product to identify potential churn risks.
Importance of Last Active
Helps identify potential churn risks by tracking the last active date, allowing teams to prioritize outreach to re-engage users.
Calculation of Last Active
Recorded as the date or timestamp of the last user interaction with the product.
Signals of Health or Weakness
Indicates user engagement health, where regular activity suggests engagement and inactivity for over 30 days suggests potential churn risk.
User Roles and Application
Used by customer success teams to monitor user engagement, product managers to evaluate re-engagement strategies, and sales teams to assess renewal discussions.
Active User Percentage
Measures the proportion of users within an account who are regularly engaging with the product. Shows how usage is spread across an account and indicates the breadth of usage. A high percentage suggests engagement of many users, while a low percentage might be a red flag.
Calculation Method
Divide the number of active users by the total number of users in the account, then multiply by 100. For example, if 10 out of 50 users are active, the percentage is 20%.
Health Signals
Indicates health or risk of an account. A high percentage is a healthy signal showing engagement and a lower chance of churn. A low percentage, especially in large accounts, can be a red flag for potential risk of losing the account.
Product Qualified Leads (PQLs)
PQLs are users who actively engage with a product and show readiness to pay. Unlike Marketing Qualified Leads (MQLs), PQLs are interested in the value they can get by using the product, having engaged with it deeply and used key features.
Higher Conversion Rates
PQLs have found something they love about the product, which makes them more likely to convert. The user has already seen value and is considering how the product can make their life easier.
Shorter Sales Cycles
With PQLs, sales teams can avoid basic pitches and move directly to discussions on setup and performance, thereby easing the sales process and reducing closing times.
Better Customer Fit
PQLs have experienced success with the product and are likely to stick around longer, recommend it, and require less churn management, leading to higher value customers.