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Written by Julie Zehntner
Updated over a week ago

Summary

Typical tasks of the Growth teams and optimization for Account manager

How this helps

This article will help to understand how the Growth team's efforts directly impact user engagement and retention.

The Growth team plays a pivotal role in driving user acquisition, activation, retention, and revenue growth. Your mission is to identify, test, and scale strategies that fuel the company's expansion.

Accoil Analytics streamlines your workflow by providing the data you need to create effective, targeted campaigns and optimize user journeys. This leads to higher user engagement, increased retention, and more successful upsell opportunities, ensuring that your growth strategies yield tangible results. With precise data, you can focus on building scalable growth strategies that drive long-term success.



Typical tasks for a Growth team

Task

How Accoil Analytics Helps

Optimize Campaigns

Targeted Engagement: Use Accoil Analytics to identify the most engaged users and craft campaigns that resonate with their behaviors and interests. For example, target users who show high engagement with specific features for more relevant marketing efforts.

User Acquisition

Data-Driven Outreach: Leverage engagement and activation data to identify which acquisition channels and tactics are most effective. For example, focus on channels that bring in users with high activation rates.

Activation Strategies

Personalized Onboarding: Use activation metrics to tailor onboarding experiences. For instance, provide additional support to users who have not yet completed key activation steps to ensure they realize the product's value quickly

Retention Efforts

Poactive Support: Utilize engagement data to anticipate and address potential churn. For example, if analytics indicate a user is disengaging, initiate proactive outreach to re-engage them based on their past interactions.

Upsell Opportunities

Adoption Insights: Use adoption data to identify users who are ready for upsell opportunities. For example, if a customer frequently uses advanced features, suggest an upgrade to a more suitable plan that offers additional benefits.

User Feedback

Feedback Loops: Identify users who might be unhappy through engagement metrics and reach out for feedback. For example, if a user’s engagement drops, initiate a feedback request to address any issues and show commitment to improving their experience.

Trend Analysis

Identify Patterns: Analyze long-term engagement and adoption trends to understand common issues and replicate successful strategies. For example, if a specific feature consistently drives higher engagement, promote its use across your user base.

Measure Success

Track Progress: Use engagement and activation metrics to evaluate the success of your interventions. For instance, track whether changes in onboarding practices correlate with improved activation rates and adjust strategies accordingly.

Account Health Scores

Overall Insight: Calculate account health scores for a comprehensive view of customer engagement and feature adoption. Use these scores to target strategies aimed at boosting retention, such as personalized check-ins for low-scoring customers.

Monetization Strategies

Revenue Optimization: Identify patterns that lead to successful upsells and cross-sells using adoption data. For example, analyze the behaviors of users who upgrade their plans to design targeted campaigns for similar users.



How to Optimize Accoil Analytics for Account Managers Team

To maximize the benefits of using Accoil, follow these steps to set up and utilize your engagement Profiles effectively.

Step

What it does?

Metrics to use - add relevant links

1.Set up your own Engagement Profile/s

Gives you a clear view of the accounts and users you want to monitor. Provides insight into account/ user engagement scores, trends, and overall health. For example, track engagement and adoption scores to identify users who may need additional support.

  • Product Engagement Score

  • Frequency

  • Adoption rate

  • Tenure

  • Active Users (Total)

  • Active Users (Percentage of all users active and inactive)

2 Use Profile Segments for deeper insights

Review Standard and Suggested Segments to quickly find hot and cold segments within your Profile. For example, identify segments with declining engagement and prioritize outreach to re-engage these users.

As you get comfortable with Segments, create your own based on the task you need to get done.

  • Product Engagement Score

  • Frequency

  • Adoption rate

  • Tenure

  • Active Users (Total)

  • Active Users (Percentage of all users active and inactive)

3. Configure account and user activation

Select the events and/or conditions that an account should meet to be considered Activated.

Identify key moments that indicate a user has realized value from your product. For example, track how many users complete the initial setup to identify potential roadblocks.

  • Activation rate

  • Engagement Score

  • Adoption rate

4. Get familiar with the Events page

Learn which features are being used and which ones aren’t. Gain insights into user behavior to improve feature adoption. For example, identify underused features and create conversations with important customers to raise awareness and improve product adoption.

  • Average adoption

  • Average adoption change

  • Average engagement score

  • Individual feature usage

5. Pipe your insights to relevant teams

Deliver insights to the tools you and your teams already use.

Set up actions to notify sales and support teams about important engagement and health changes in real-time. Integrate with tools like HubSpot, Intercom, and Slack.

Or send a webhook payload to tools like Zapier and Make to extend what you can do with your product data.

  • Score changes

  • Activation changes

  • New user(s)

  • Account or User Entering a Segment

  • Custom alert filters

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