Most stringers can tell you they were busy last month. Far fewer can tell you whether they were profitable, which strings actually drove that volume, or whether the customers who came in were new faces or regulars coming back. Nevalto's revenue analytics close that gap — turning the jobs you already log into answers about how your business is actually doing.
Revenue over time, without the spreadsheet
Every job you track in Nevalto feeds your revenue picture automatically. You see how income develops week over week and month over month — no exporting, no manual spreadsheet sessions at the end of the quarter. Seasonal patterns become visible instead of vaguely felt: the tournament-season spike, the winter dip, the school-holiday rush all show up in the numbers, which makes planning stock and capacity a decision instead of a guess.
Repeat customers and volume trends
Revenue alone doesn't tell you whether a business is healthy — the mix behind it does. Nevalto surfaces repeat-customer trends, so you can see what share of your volume comes from returning players versus one-time jobs. A growing base of regulars is the strongest signal a stringing operation can have, and it's the one most stringers track least, because it's tedious to reconstruct by hand.
Volume changes are tracked the same way: whether jobs per week are climbing, flat, or slipping, you see the trend early enough to respond to it rather than discover it at year end.
Average job value: the number behind your pricing
Average job value tells you what a typical restring is actually worth to your business once string choice, labour, and extras are combined. It's the anchor for pricing decisions — if your average job value hasn't moved in two years while string costs have, the analytics make that visible, and the conversation about adjusting rates starts from data rather than discomfort.
Connected to your inventory
For shops on the Pro plan, the picture extends into stock: which brands and strings are actually moving, how many restrings remain on each reel, and where low-stock warnings should trigger a reorder. Popular-brand analytics mean your purchasing follows what customers demonstrably buy — not what the sales rep suggested.
What this changes in practice
- Pricing decisions rest on your average job value, not on guesswork or what the shop down the road charges
- Stock purchasing follows demonstrated demand, freeing up capital tied in slow-moving reels
- Repeat-customer share becomes a number you watch, which changes how you invest in service quality
- Seasonal planning — staffing, stock, turnaround promises — starts from last year's actual pattern
None of this requires extra admin. The analytics are built from the jobs you're already logging, which means the insight comes free with the workflow. Knowing your numbers stops being a project and becomes a glance at the dashboard.