revenue intelligence

Gong

Gong analyses sales conversations. This profile covers what it does, how it is priced, and where it stops being the right choice.

What the product actually does

Gong joins sales calls, transcribes them, and extracts structure: which topics came up, how the prospect responded, whether pricing was discussed, and how the call compares to calls that closed. The output is a searchable record of everything the sales team has said.

The deal-risk scoring is the feature buyers cite. A model trained on the organisation's own closed-won and closed-lost calls flags a live deal that is behaving like the losses, which is a genuinely different signal from a rep's opinion.

How pricing works once you are inside

Per seat, annually, and it is one of the more expensive per-seat products in the sales stack. The price reflects that the value is the corpus — a small deployment produces weaker models than a large one.

The commercial structure rewards scale, which creates an awkward dynamic for a mid-sized team deciding whether the analysis is worth the seat price at their volume.

Where it breaks down

Consent and recording law. Two-party consent jurisdictions require notification, and a deployment that does not handle that carefully creates legal exposure rather than insight.

The models are also only as good as the data. A team that does not record calls, or records only the ones it expects to go well, trains the model on a biased sample.

What switching costs

Very high. The value is the accumulated corpus and the models trained on it; leaving means starting the history again.

Sources

Gong public documentation, read October 2026. Pricing is negotiated.