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# Exclaimer Increases Forecast Accuracy and Streamlines Sales Team Performance with
- URL: https://www.ai-360.online/gong-exclaimer-increases-forecast-accuracy-and-streamlines-sales-team-performance-with-gong/
- Published: 2025-08-28T12:00:00.000Z
- Updated: 2026-10-25T22:14:43.000Z
- Description: Learn more Search Sign in Product Solutions Innovation Raving fans Resources Company Pricing Book a demo Back to newsroom Exclaimer Increases Forecast…
- Author: Nicholas Lipinski
- Tags: news, #company-gong, 1. Enterprise AI

Learn more Search Sign in Product Solutions Innovation Raving fans Resources Company Pricing Book a demo Back to newsroom Exclaimer Increases Forecast Accuracy and Streamlines Sales Team Performance with Gong August 28, 2025 SAN FRANCISCO – August 28, 2025 – Gong , the leading revenue AI company,, [the company said on 28 August 2025](https://www.gong.io/press/exclaimer-increases-forecast-accuracy-and-streamlines-sales-team-performance-with-gong?ref=ai-360.online).

Exclaimer Increases Forecast Accuracy and Streamlines Sales Team Performance with Gong, the company said on 28 August 2025\. Learn more Search Sign in Product Solutions Innovation Raving fans Resources Company Pricing Book a demo Back to newsroom Exclaimer Increases Forecast Accuracy and Streamlines Sales Team Performance with Gong August 28, 2025 SAN FRANCISCO – August 28, 2025 – Gong , the leading revenue AI company, today announced that Exclaimer , a leader in enterprise email-signature management software, has adopted the Gong Revenue AI Platform to enhance sales forecasting, streamline enablement, and align go-to-market teams around a single source of customer insight to drive success. By integrating Gong within its tech stack, Exclaimer has improved forecast accuracy, accelerated coaching, and strengthened cross-functional collaboration.

Previously, siloed systems limited visibility into pipeline activity and customer health, while managers spent significant time manually reviewing calls against the company’s “Command of the Message” framework. Forecasts relied on subjective inputs, and integration gaps between Salesforce and adjacent tools caused reporting delays.

For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.

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