Clari vs Gong for Building Material Suppliers

Most of what a counter or inside sales rep sends out is a price, not a commitment. A general contractor collecting three bids for a job needs your number whether or not you have any real shot at the order, and a spec-driven project can require a quote from every approved vendor regardless of relationship. If your pipeline report is a list of open quotes, it is really a list of prices you handed out, and the forecast built on top of it will always run high.

The fix isn't a better tool, it's a stage definition that only counts a quote as pipeline once something beyond a price request has happened: a follow-up call, a confirmed timeline, a purchase order in draft. Whichever platform you pick has to enforce that distinction, or it just automates the same inflated number faster.

This matters more the bigger your quote volume gets. A branch handling a handful of large commercial accounts can track qualification by memory. A branch fielding dozens of RFQs a week from contractors it barely knows cannot, and that's exactly where an unqualified quote list starts producing a forecast leadership stops trusting.

Clari's value here is governance, not analysis. You can define a stage that a quote can't reach until a rep logs a real qualifying signal, and Clari will flag anything that sits in an early stage too long or skips straight to close without the required steps. For a distributor running high quote volume through a handful of inside reps, that stage discipline is what turns a spreadsheet of prices into something a branch manager can actually forecast against.

It also gives you a rollup across branches that isn't just everyone's individual guess added together, which matters once you have more than one location quoting the same regional contractors. A regional contractor working three of your branches at once should show up as one account with one real forecast, not three separate optimistic guesses that double- or triple-count the same eventual order.

Gong's whole value proposition depends on recorded sales conversations, and a lot of building material sales happens over email, at the counter, or as a text with a photo of a spec sheet attached. A tool built to analyze call sentiment and talk-time ratios has little to work with when the actual sales motion is a fast phone call confirming a price and a delivery date. Unless your outside sales team is running structured, recorded account calls with larger accounts, Gong is solving a problem your team doesn't have.

Where it can genuinely help is the minority of relationships that do run through longer sales calls, typically your largest contractor accounts or a national account team negotiating annual pricing agreements. If that's a small slice of your revenue, buying Gong for the whole sales organization is paying for coverage you won't use.

Before you configure either tool, write down what actually separates a real order from a courtesy quote in your business. That usually includes things like: does the buyer have an active job number, has a delivery date been discussed, is this a repeat account or a first-time caller, and is the order size consistent with what this buyer has bought before. Put that checklist in front of your inside sales team as a stage-advancement rule, not a suggestion, and the forecast built on top of it will actually mean something.

Run that checklist manually for a month before you buy anything. If your team can't consistently apply it by hand, no software will fix that for you, and you'll just have paid to automate the same guesswork faster than before.

Test each counter or email quote against these questions before it enters the forecast:

• Does the buyer have an active job number tied to this quote?
• Has a delivery date been discussed, or is the buyer only collecting prices?
• Is this a repeat account or a first-time caller, and does that change how the quote should be weighted?
• Is the order size consistent with what this buyer has bought from you before?

Ask whether your branch managers will actually enforce the stage discipline day to day, since a distribution business runs on relationships and a manager who lets a favorite rep skip the checklist will quietly break the forecast again. Confirm how many of your sales conversations happen somewhere recordable before you evaluate Gong at all. And decide up front what percentage of quotes you expect to convert, so you can tell the difference between a healthy pipeline and one still stuffed with courtesy prices.

Finally, check what your ERP already tracks. If quote-to-order history already lives there, the gap you're actually solving is forecast discipline on top of existing data, not a whole new system of record.