Blog · Alternatives and comparisons · Distributors
How distributors should choose analytics software: start from the questions, check the data you hold, ask vendors ten questions, avoid the traps.
Most buying decisions for analytics start from a feature list. For distributors the better start is the questions that come back every month, the files already on hand, and the traps that make a tool look right in a demonstration and wrong in the first board meeting.
| The question | The measure behind it |
|---|---|
| Which customers have stopped ordering, and how much were they worth? | Dormant accounts, by prior value |
| Which accounts lose money after delivery and order handling? | Contribution per customer |
| Where are we giving price away? | Price realisation |
| Which customers buy a category elsewhere that they could buy from us? | Category share against similar customers |
| How much did stock-outs cost us last month? | Fill rate and lost lines |
| Are we speaking to the accounts that matter? | Value coverage at cadence |
Any tool you consider should answer these from your data, not from a sample. Ask to see it.
If a vendor needs a warehouse built before it can read these, count that in the cost and the time.
Ask whether the tool enforces these, and what it does when they fail:
Contribution after cost to serve. The ledger shows gross margin, and the costs of delivering, keying and visiting sit in other systems, so the two are never joined. When they are, a tenth to a fifth of accounts usually turn out to cost more than they earn, and most of those are one minimum order value away from profit.
Category share against similar customers. Revenue per account says how big a customer is, not how much of its spend you have. A contractor buying pipe and no fittings is visible only when compared with what similar contractors buy.
Dormancy against the customer's own pattern. A fixed ninety-day rule lists annual buyers who are fine and misses weekly buyers who have been gone for five weeks.
Calls per day. Effort without direction. Replace with coverage at cadence, by value.
Gross margin percent as a customer ranking. It rewards the accounts that cost most to serve.
Number of active accounts. A count that treats a $500 account and a $500,000 account alike. Use value-weighted measures.
| Criterion | Weight | Tool A | Tool B | Covirage |
|---|---|---|---|---|
| Answers our six questions on our own data | High | |||
| Time to the first answer | High | |||
| Needs a warehouse or data team | Medium | |||
| AI calculates figures, or only explains computed ones | High | |||
| Every total reconciles; figures open to rows | High | |||
| First-year cost, all in | Medium |
Covirage reads the exports above, answers the questions with figures our tools compute and check, and is set up for you within a week. See analytics software for distributors compared, AI analytics for distributors and Covirage for Distributors.
For the measures in full, with formulas and exports, read Sales KPIs for wholesale distributors.
The answer to their own questions, from the data they already hold, with every figure reconciled. Features matter less than what the tool needs before the first answer and who maintains it.
It can be, with a warehouse and someone to build and maintain the model. Without them, the dashboard shows what changed and the explanation is still an analyst's job.
Usually: crm activity, assignment file, ledger, invoice ledger, account master with segment, delivery, order, visit and returns files. Most analytics questions in this industry can be answered from those exports.