Here is a scenario that plays out in almost every sales operation.
A customer used to order steadily. Then things got busy, a rep changed territories, priorities shifted, and somewhere along the way that customer stopped getting visited. They just faded into the background while the team chased new business. By the time anyone notices, the relationship has gone cold and a competitor has stepped in.
The frustrating part is that this is entirely preventable. You just need a clear way to see who has not been seen. That is exactly what Skynamo's Visit Age Analysis report is built for.
At its core, this report answers a deceptively simple question: how long has it been since we last interacted with each of our customers?
It pulls together the total number of customers, visits, orders, invoices, and quotes for your selected time period, along with the value of orders, invoices, and quotes. Then it plots your customers on a "days since last visit" histogram, grouping them by how recently they were seen.
One important thing to understand about that histogram. The "Never" group does not mean those customers have never been visited in their history with you. It means that within the specific time frame you have pulled the report for, there were no visits logged against them. So if you run the report for June and a customer sits in "Never", it tells you they went the whole of June without an interaction. That is your signal to find out why.
Previously you could see visits, orders, and invoices. Now you can also see the number of quotes and their total value, both across your totals and broken down per customer. That means the report no longer just tells you who has gone quiet. It shows you where there is money already on the table.
Think about the combinations this surfaces. A customer with open quotes but no recent orders is a follow-up waiting to happen. A high quote value sitting against an account that has not been visited in weeks is a nudge to get a rep back in the door before that opportunity goes cold. It turns a review meeting from "who have we neglected" into "where is the revenue we can still go and close".
For managers, this is a report built for the bigger conversations. It is ideal for a monthly, quarterly, or mid and end of year review, giving you a clear, data-backed picture of how well your customer base is actually being covered. Because it can be viewed per user, it becomes a fair and factual basis for one-on-one reviews. You can sit down with a rep and look together at their assigned customers, what has been ordered, quoted, and invoiced, and which accounts have slipped through.
If your customers are segmented, you can also draw the report for a specific customer group or type. That segmentation is set up by each business according to how they categorise their customers, so the report flexes to match how you think about your market, whether that is by region, industry, tier, or anything else.
For reps, it is a practical to-do list. It highlights the accounts that need attention and the quotes that need chasing, so time on the road goes where it will move the needle.
The power is in the download.
The on-screen report gives you the summary and the histogram, but the Excel download is where it really earns its place in a review.
The download breaks everything down customer by customer, with columns for the customer code and name, number of visits, number of orders and order value, number of quotes and quote value, number of invoices and invoices value, days since last visit, and crucially, the assigned users responsible for each customer.
That last column is what makes it such a strong review tool. You are not just looking at anonymous gaps in coverage. You can see exactly which customers belong to which rep, so accountability and follow-up are built right in. Everything can be sorted, filtered, and worked through at exactly the level of detail the conversation needs.
The Visit Age Analysis report is quietly one of the most useful reports for keeping your customer base healthy. It shows you who has gone quiet, and now, with quote information included, where the unrealised revenue is hiding.
Run it before your next review. Look at the "days since last visit" gaps, cross-reference the open quotes, and turn a list of neglected accounts into a plan for winning them back.
Want to get more out of your Skynamo reporting? Book a session with our team or explore the reports available in your instance.