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How Long Should You Work Leads? Let the Data Decide

By Ethan Ewing
10.02.2024
3 min. read

Learn how to use data-driven strategies to determine the optimal time to work leads. Discover how predictive AI can help your sales team balance persistence with efficiency, ensuring you focus on high-potential leads and avoid wasting resources.

What's in this article?

  • What Does the Data Say?
  • Finding the Right Balance
  • The Impact of Overworking Leads
  • Using AI to Optimize Lead Workflows
  • Conclusion

One common question in sales is: how long should you work a lead before moving on? It’s tempting to chase leads for as long as possible, but that may not always be the best approach. Understanding when to persist and when to stop working a lead can make a big difference in your team’s efficiency and success. Recent data suggests that finding the right balance is key to maximizing conversion rates.

Curious to learn how predictive data can help you optimize your lead management? Schedule a Demo Today!

What Does the Data Say?

In the last six months of 2023, data from over 65,000 lead events related to locked home loans was analyzed. This data provides valuable insights into the ideal time frame for working leads and lead-nurturing best practice. It shows that chasing leads too long and not spending enough time on them can negatively impact conversions. Understanding these patterns helps you better allocate your time and resources and determine optimal lead follow-up time.

Finding the Right Balance

The challenge is identifying when a lead is worth the extra effort and when to stop working a lead. Using aggregated data as a guide, sales teams can see patterns in lead behavior over time. However, every organization is different, and a one-size-fits-all approach doesn’t work. This is where predictive AI can help.

Predictive AI tools analyze your specific lead data and provide insights on how long you should work each lead. This way, you’re not relying on broad averages but making decisions based on your own data and experiences.

Read More: How AI-Powered Predictive Lead Scoring Improves Lead Management

The Impact of Overworking Leads

Spending too much time on a lead that is unlikely to convert can:

  • Waste valuable resources
  • Lower team morale
  • Miss out on higher-potential opportunities

The key is to use data to recognize these patterns early so your team can determine lead nurturing best practice and focus their efforts where it matters most.

Using AI to Optimize Lead Workflows

Predictive AI can help determine the optimal lead follow-up time. By analyzing past data, AI can predict:

  • When a lead is most likely to convert
  • When it’s better to stop pursuing

This approach helps your team work smarter, not harder, by focusing on high-potential leads and avoiding those less likely to result in a sale.

Conclusion

Finding the right balance in how long to work a lead is crucial for sales success. Too little effort can mean lost opportunities, while too much can waste resources. Data and predictive AI can optimize your lead management strategies helping you decide when to engage and when to move on.

The right tools and lead management strategies will ensure that your team is working leads effectively maximizing your chances of success.

Category: InsightsTag: lead management strategies, lead nurturing best practice, optimal lead follow-up time, when to stop working a lead

Further Reading

3 min. read

How to Layer Predictive AI onto Your Existing Sales Workflow—Without a Rebuild

5 min. read

How Predictive AI is Transforming Direct Marketing

4 min. read

Boost Sales Confidence with Predictive Values: Move from Hope to Certainty

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