Answer
Should you use a CRM?
When enquiries start getting lost between people, yes. Before that, a spreadsheet does the same job without the project.
When enquiries begin passing between people, or you cannot say what happened to last month's. Before that, a spreadsheet holds the same five fields. The trigger is the handoff, not the headcount.
The question is normally asked as one about size — are we big enough for a CRM — and size is a poor predictor. What creates the need is the handoff. While one person receives every enquiry, works it and remembers it, their own record is adequate and often better than anything imposed. The moment an enquiry can arrive with one person and be worked by another, information starts being lost in the gap, and that happens at two people rather than at twenty.
The second trigger is retrospective. If you cannot say how many enquiries arrived last month, how many were answered, and what became of them, you have already lost the thread, and no amount of memory reconstructs it. That inability is worth treating as the signal itself, because it is precisely the data that decides marketing spend, capacity and whether anything is being lost.
What is genuinely needed at first is small enough that the tool is a secondary question. Arrival time, channel, source, first response time, and outcome including none — five fields, captured at arrival. A spreadsheet holds those and can be running this afternoon, which matters because the most common failure in this decision is a lengthy evaluation that ends with nothing in place for another quarter.
A dedicated system earns its place when the manual version starts failing in specific ways: entries not made because someone was busy, no reliable prompt for follow-up, no shared view when several people are involved, and no history visible when a customer calls back. Those are the functions worth paying for. A system bought before those failures appear is generally bought on features nobody yet needs, and configured by someone guessing at how the work will run.
The selection criteria that matter are unglamorous and rarely lead a demonstration. Can it capture enquiries automatically from your actual channels, or does everything require typing? Does it show a customer's history when they get in touch? Can you get your data out in a usable form? Will the people who must use it find it faster than not using it? The last question decides more outcomes than any feature comparison, and it is answerable only by having those people try it.
The trap worth naming is buying capability for a future state. Businesses select systems for the pipeline stages, automation and reporting they expect to need in three years, then require staff to operate that complexity today for no present benefit. The result is the familiar one: partial adoption, unreliable data, and a conclusion that the system was wrong when the configuration was.
You need a system at the point where the answer to what happened to that enquiry depends on which person you ask.
Answer Production Engine, Context Theory
Related questions
Is a spreadsheet really enough?
For a single person capturing five fields, yes, and it will outlast several abandoned systems. It stops being enough when more than one person needs the same view at the same time, when follow-up depends on someone remembering, or when the volume makes manual entry unreliable. Those are the specific failures to watch for rather than a size threshold.
How do we avoid picking the wrong system?
Run the actual work through a trial rather than watching a demonstration. Take a fortnight of real enquiries, capture them in the candidate system exactly as you would, and see what breaks. Demonstrations show the intended path; a fortnight of real work shows the awkward cases, which is where systems are actually chosen or rejected.
METHOD
Every figure below carries its source and the date it was verified. Nothing on this page is asserted.
The numbers on this page.
| What | Value | Specific to |
|---|---|---|
| Firms that never responded to a web enquiry at all | 23% | Category-wide |
| Teams responding to an inbound lead within 5 minutes | 7% | Category-wide |
| Average B2B first-response time | 42 hrs | Category-wide |
Oldroyd, McElheran & Elkington, "The Short Life of Online Sales Leads", Harvard Business Review (March 2011) · hours · 1.25M inbound leads across 2,241 US firms · verified
2026 speed-to-lead benchmark · range ~5% FinTech to ~15% RevOps · verified
What is specific to this page.
| Kind | Claim | Check it against |
|---|---|---|
| Workflow | The need for a shared customer system is created by the handoff between people rather than by business size, and it arises at two people rather than at a headcount threshold. | Whether any enquiry can be received by one person and worked by another in the business's current process. |
| Workflow | Inability to state how many enquiries arrived last month, how many were answered and what became of them is itself the signal, since that is exactly the data that governs marketing spend and capacity decisions. | Attempting to produce those three counts for the preceding month from existing records. |
| Procurement | A dedicated system earns its cost at four specific failures — missed entries under pressure, no follow-up prompt, no shared view, no history on callback — and buying before they appear selects on features nobody yet needs. | Which of the four failures the business currently experiences with its existing method. |
| Software | Selecting a system for an expected future configuration requires staff to operate complexity today for no present benefit, producing partial adoption and unreliable data that is then attributed to the software. | The number of configured pipeline stages and required fields against those actually used in the last quarter. |
Each row would be wrong on another industry's page. Where a sourced figure exists it is in the table above instead; these are the constraints that shape the work and do not happen to be numbers.
Start with the measurement.
Reading about a benchmark is not the same as knowing your own number. The audit produces yours, measured rather than estimated.
$497 · delivered in 5 business days · credited against month one