What a sales and marketing diagnostic looks at, record by record

A diagnostic reads the records your business already keeps: enquiry sheet or CRM, call logs, ad accounts, quotation files, invoices, and a sample of chats. No single record tells the story, so the work is to pick the right one first. Which one depends on the symptom. This post walks through the choice as a series of branches, each starting from what an owner says out loud, and shows what each record can and cannot prove.

Start with money: "Sales are flat"

Go to the invoice book first. It is the only record of money received, and it fixes how many orders really came, from whom, and how often the same buyers returned. Everything else is read against it.

If invoices show fewer orders than last season, move to quotations. If they show the same number of orders at smaller sizes, the problem may sit in price or in what is being sold, and quotes will show it as discounts given and items dropped. If orders are steady but a few buyers make up most of them, the worry is dependence, not demand, and the question becomes where the next buyer comes from.

The invoice book hides one thing: orders that came through relatives, old customers or phone calls and were billed in some other way. Ask about those before you trust the count.

"Enquiries have fallen"

Check the claim before acting on it. Open the enquiry sheet or CRM and count by source. Then compare it with the ad account and the website or Business Profile data, which show clicks, calls and direction requests.

If the source records agree that enquiries fell, look at the marketing side: which search terms, listings or channels stopped working. If they show enquiries steady, the owner is probably feeling a loss after the enquiry, and the next branch is the one that matters. The enquiry sheet cannot show enquiries that were never entered, so a gap between ad data and the sheet may mean calls are going unlogged, not that demand dropped.

"We get plenty of quotes but few orders"

Now the quotation files and call logs carry the weight. Take a sample of recent quotes and trace each one. When did the enquiry arrive, who replied, and how long did that take? Did a quote follow, did anyone contact the buyer afterwards, and did an invoice come?

You are looking for patterns, not averages. A quote sent on the day of the visit and then nothing for weeks. A quote with no note of when the buyer decides. A repeat customer quoted three times in a year and never rung between orders. Each pattern points to a different change, and some of them cost nothing.

For example, an invented CNC job shop in Hosur supplies turned parts to small assemblers. The owner blames the ads for falling enquiries. The ad account shows enquiries steady. The quotation folder holds many quotes, and the invoice book far fewer orders. The call log shows most quotes went out the same day and then fell silent until the buyer had placed the next lot elsewhere. (This is an invented case, and the shape is the point.) The change was a note in each quote of when the buyer places the next batch, and a call timed before it. The dates were guesses at first and two were wrong, so the owner asked buyers instead of estimating. Nobody needed new ads.

"My team says leads are bad"

Here the diagnostic reads WhatsApp and call samples against what marketing sent. A sample of chats shows tone, speed of reply, what was promised and where threads went quiet. Call logs show returned and missed calls.

If leads are poor, the samples show buyers outside your area, asking for things you do not make, or giving no number. If leads are fine, the same samples show slow replies and no follow-up. This is where opinions and files most often disagree, so keep the sample honest: pick recent enquiries at random, not the ones people remember.

Be careful with what comes out. It points to where in the process enquiries stall and who handles that stage. That is a pattern to discuss, not a verdict on a person. Records do not explain why someone struggles.

"Customers ask for discounts and we give them"

Open price lists beside discount approvals and quotes. The question is how far the quoted price has drifted from the list, who approved the drift, and whether the same excuse keeps appearing. Competitor prices will not be in your files, so the records cannot say whether the discounts were necessary. They can show that nobody recorded why.

"We do not keep records"

Then the first output is a plan to start. A diagnostic cannot rescue records that do not exist, and it cannot promise a result. It identifies where to look and what to change; the change still has to be made and measured. Spend a short period writing each enquiry, quote and outcome in one sheet: date, name, source, what was asked, what was quoted, what happened. Six columns are enough. Then bring it back, and the reading has something to work on.

When not to buy one

If you already know you do not call back leads, read whether you need a diagnostic or just a better follow-up habit first. Some owners find the answer in an afternoon, before any money is spent. For stage definitions and ageing of open leads, see what a sales pipeline audit covers.

Choosing the next step

Pick the sentence above that sounds most like you and gather only the records it names: for "sales are flat", that is the invoice book and a folder of quotes. Put a line beside each saying how well it is kept. The diagnostic page explains the paid reading of those records, and the sales audit is the service nearest to a question about the path from enquiry to order. Our FAQ covers what owners ask first. Then tell us what you need.