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Written by Julie Zehntner
Updated over 2 months ago

Summary

An overview of the typical tasks of the Account team and how the Accoil analytics can help the Accounts team

How this helps

This article will guide your customer service team on how to utilize Accoil Analytics effectively to deliver personalized support, enhance client satisfaction, and drive renewals

As an Account Manager, your role is pivotal in ensuring clients derive maximum value from your product, fostering long-term relationships, and driving growth.

With Accoil Analytics, you gain the tools to tailor client interactions, predict potential issues, and identify upsell opportunities. Leveraging these insights, you can deliver personalized support, enhance client satisfaction, and drive renewals.

Accoil Analytics equips you with the data needed to create a seamless and rewarding client experience. This not only boosts retention but also opens doors for upselling, ensuring clients see the value in upgrading their services. By focusing on data-driven strategies, you can build strong, lasting relationships with your clients.



Typical tasks for a Account Managers team

Task

How Accoil Analytics helps

Tailor Onboarding

  • Personalized Onboarding: Use Accoil Analytics to personalize your welcome process. For example, if a new user frequently accesses a specific feature, provide additional resources or tutorials focused on that feature to help them succeed faster.

Predictive Support

  • Preemptive Solutions: Utilize Accoil Analytics to predict common future issues. For instance, if analytics show a trend of users encountering issues at a certain stage, create support materials or training sessions to address these proactively.

Check-In with Purpose

  • Timely Assistance: Offer timely, relevant help based on user engagement data. For example, if a user is exploring a new feature, send them tips or offer a quick check-in to assist with any questions they might have.

Enhanced Customer Journeys

  • Segment Understanding: Understand how different segments interact with your product. For instance, tailor onboarding for small businesses differently than for larger enterprises to enhance satisfaction and retention for each segment.

Feedback Loops

  • Proactive Outreach: Use Accoil Analytics to identify users who might be unhappy. Reach out to them for feedback and show them you're committed to improving their experience. For example, if a user’s engagement drops, initiate a feedback request to address any issues.

Identify Upsell Opportunities

  • Engagement Patterns: Use insights to address potential upsell opportunities. For example, if a customer frequently uses advanced features, suggest an upgrade to a more suitable plan that offers additional benefits.

Monitor New Customers

  • Suggest More: Track how new customers are progressing and suggest additional services or features. For example, if a new customer is using basic features effectively, recommend advanced features that align with their usage patterns.

Anticipate Needs

  • Proactive Solutions: Anticipate customer needs using data. For example, if data shows a user often accesses support for a specific feature, proactively provide additional resources or offer a personalized training session.

Measure Success

  • Track Progress: Use engagement metrics to evaluate the success of your interventions. For instance, track whether a drop in churn rates correlates with new onboarding practices and adjust strategies accordingly.

Account Health Scores

  • Overall Insight: Calculate account health scores for a comprehensive view of customer engagement and satisfaction. Use these scores to target strategies aimed at boosting retention, such as personalized check-ins for low-scoring customers on engagement or adoption. Conduct regular health checks using insights from Accoil Analytics to proactively identify and address areas of concern.

Trend Analysis

  • Identify Patterns: Analyze long-term trends to understand common issues and replicate successful strategies. For example, if you identify a feature that consistently leads to higher engagement, promote its use across your customer base.

Helping your clients find value

  • Regular engagement: Hold quarterly business reviews with clients, using data from Accoil Analytics to demonstrate value and discuss future goals. eg: discuss with your client their user account health profiles in order to extract maximum client value.

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 is 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

Set up actions to deliver insights to the tools you and your teams already use.

Send an activated lead to sales in real time. Integrate with tools like HubSpot, Intercom, and Slack to keep teammates updated on customer engagement and health. For example, send notifications about at-risk accounts to your Accounts or Customer Success team for proactive outreach.

  • Score changes

  • Activation changes

  • New user(s)

  • Account or User Entering a Segment

  • Custom alert filters

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