Guide To Using Customer Lifecycle Graphs To Increase Sales & Customer Retention Rates
The holy grail in business would be converting prospects to customers instantly, retaining those customers forever, and upgrading them regularly. This is pretty far from reality, but if it were possible it would likely be the result of a great product and super optimal processes for sales, customer success, and upselling. The problem is that no two customers are exactly alike, so there is no single optimal process.
While it's unlikely we'll ever achieve instant conversions, never-ending retention, and continuous upgrades, we can make progress in shortening sales cycles, increasing retention rates, and improving upselling. By putting our data to work via customer lifecycle graphs we can create dynamic, scalable, hyper-customized processes that cater to each unique customer throughout their customer lifecycle.
We've created a 4-step guide for using Customer Lifecycle Graphs for sales and customer retention and each step in the guide is tailored to your business model.
Select which version you would like to receive and enter your email and you will receive our guide, which will give you our step-by-step guide.
The guide includes:
1. Lifecycle Graphs for Prospecting
- How to identify prospects that are more likely to convert quickly.
- How to identify the likely value of your prospects so you can allocate resources accordingly.
- How to optimize your processes to shorten sales cycles.
2 Lifecycle Graphs for Retention & Renewals
- How to identify the likely duration of each customer's journey from conversion to churn.
- How to forecast each customer's likely lifetime value.
- How to optimize your processes for retention.
- How to optimize for renewals.
3. Lifecyle Graphs For Upselling
- How to identify opportunities for upselling.
- How to identify opportunities for cross-selling.
- How to optimize for upselling.
4. The Data
- What data will you need.
- What data to avoid.
- Getting started.
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