On paper, Kluster and Gong both sit under the “revenue intelligence” umbrella. In practice, these platforms are built for different owners, different workflows, and different outcomes.

Gong helps sales teams execute better deals. Kluster helps revenue and finance leaders commit to numbers the business can actually rely on.

If you’re comparing the two, the decision comes down to the problem you need to solve, the specific needs of your revenue team, and whether your focus is on improving sales execution or achieving accurate, finance-grade forecasting and reporting.

Revenue Forecasting Software vs Revenue Intelligence Tools

Gong is fundamentally a conversation and deal intelligence platform. It captures sales calls, emails, and meetings, then applies AI to surface insights about deal health, rep behaviour, coaching opportunities, and pipeline risk. Its value shows up inside the sales organisation, where managers need visibility into what’s happening inside deals and how reps are performing.

Kluster is a revenue analytics and forecasting platform. It connects CRM data with warehouses, financial systems, and custom objects to model pipeline, bookings, and revenue outcomes. It’s designed for teams that own the forecast - RevOps, Finance, and the executive team, and need to explain, defend, and improve forecast accuracy over time.

Put simply:

• Gong answers: What’s happening inside deals right now?‍
• Kluster answers:What will we actually book and recognise — and how confident are we?

How Forecasting Works in Each Platform

Forecasting is where the distinction becomes unavoidable.

Gong includes a forecasting module as part of its Revenue AI platform, but it remains pipeline-centric. Forecasts are driven by deal inspection, rep submissions, and manager rollups. This works well for sales leadership visibility, but it stops short of true revenue modelling.

Kluster approaches forecasting as a discipline. It models how the pipeline converts into bookings and revenue, tracks forecast accuracy over time, supports scenario analysis, and creates a single source of truth that Finance and the board can stand behind.

If your forecast needs to survive scrutiny outside the sales organisation, the difference matters.

‍

When Teams Look for Revenue Forecasting Software

Most teams don’t wake up one day and decide they “need revenue forecasting software”.

They start looking because something feels off, and keeps coming up in the same conversations. Those common triggers look like:

Forecast misses - At first, misses are explained away. A few deals slipped. A buyer is delayed. Timing was unlucky. But when misses become a pattern, leadership starts asking harder questions about whether the forecast itself can be trusted.

Lack of confidence in the number - This is often the bigger issue. Even when teams hit the number, confidence erodes if no one can clearly explain why. If every forecast review turns into a debate, or if finance quietly rebuilds the forecast in a spreadsheet “just to sanity check it”, trust is already gone.

Pressure from finance and leadership - Eventually, forecasting stops being a sales-only concern. Finance needs to plan headcount and cash flow. Leadership needs to make investment decisions. The board wants predictability.

What Teams Expect at this Stage

When teams start actively searching for revenue forecasting software, they’re usually looking for:

• A single number everyone can agree on
• Clear ownership of the forecast
• A way to explain why the forecast changed
• Better forecast accuracy over time

This is the moment where teams realise spreadsheets, CRM rollups, and rep confidence alone are where different categories of tools start to diverge.

Core Differences: Kluster vs Gong

Purpose & Core Strengths

Kluster specialises in revenue forecasting and analytics. It’s built to help revenue ops and finance leaders create a forecasting “system of record” that can stand up to exec scrutiny, board reporting, and auditability needs (especially as companies scale into multi-line revenue, renewals/upsells, and tighter finance governance). Kluster also positions board reporting as a first-class use case, including storing board packs and “freezing” data for auditability and reconciliation.

It’s built for teams that need:

• Comprehensive revenue models
• Pipeline-to-bookings and pipeline-to-revenue rollups
• Forecasting discipline (consistent submissions, consistent definitions, repeatable reporting)
• Scenario analysis/planning tied to revenue outcomes (rather than just deal notes)

By contrast, Gong excels at analysing sales conversations and surfacing deal intelligence that helps sales managers coach reps, identify risk signals, and influence buyer interactions. Gong Forecast adds forecasting workflow and AI validation, but it is still fundamentally tied to pipeline inspection and rep/manager operating rhythms (deal boards, forecast boards, rollups) rather than full revenue modelling.

Bottom line: Kluster is a forecasting and revenue operations platform; Gong is a conversation intelligence platform with a forecasting bolt-on.

The practical difference buyers often miss

If your exec team asks:

• “What will we close this quarter and why?” → Both tools can contribute.
• “What will revenue be next quarter, next 2 quarters, and what’s the sensitivity if the win rate drops 5%?” → That’s where forecasting-first platforms like Kluster typically win.

“Which deals are lying to us and which reps need coaching?” → That’s Gong’s home turf.

‍

Forecasting & Revenue Reporting

How Kluster forecasting works in practice

Kluster’s core value is that forecasting isn’t just a rollup of CRM stages. It’s designed to behave more like a commercial data engine: unify KPIs, forecasting, decision alerts, and executive reporting so that finance and RevOps can build repeatable models and then run the business against them.

In practical terms, teams evaluating Kluster should be looking for capabilities like:

• Segmentation that matches how the business is actually managed
  
  • New business vs renewals vs expansion/upsell (Kluster explicitly calls out forecasting across multiple business units like new business, renewals, upsells, downgrades).
• Rollups that aren’t constrained to one “amount” field
  
  • Forecast owners typically need different definitions for pipeline coverage, commit vs best case, bookings vs revenue, etc.
• Scenario analysis that’s usable in exec conversations
  
  • “If we miss enterprise by X, what mix shift closes the gap?”
  • “What if the sales cycle extends by 10 days in the mid-market?”
• Board reporting that doesn’t require rework every month
  
  • Kluster explicitly positions “board reporting” as a workflow, including board packs and frozen data for reconciliation/auditability.

In other words, Kluster is built for forecasting as an operating system, not forecasting as a spreadsheet replacement.

‍

How Gong forecasting works in practice

Gong’s forecasting workflow is centred around deal boards (pipeline inspection) and forecast boards (forecast submission and rollup).

Their deal boards are designed to show pipeline health with:

• A deal likelihood score
• Warnings (what risk has been flagged)
• Activity timelines, playbooks, trackers, and configurable views

For forecasting specifically:

• Forecast boards behave like “spreadsheets connected to real-time data,” and are designed for submissions and rollups across a team hierarchy.
• Gong Forecast includes features like forecast submission, forecast analytics, and AI predictors (AI Deal Predictor / AI Revenue Predictor) that help validate rep judgment and pressure-test the pipeline.
• Gong also emphasises that it uses “300+ unique signals” to predict deal outcomes, positioning this as more precise than CRM-only algorithms.

Where this shines: if your forecasting problem is “we need better rep inspection and pipeline truth,” Gong Forecast can materially improve the quality of weekly forecasts because it gives managers a cleaner window into whether deals are actually behaving as if they’ll close.

Where it hits limits: if your forecasting problem is “we need bookings-to-revenue modelling, multi-stream revenue, board-ready revenue packs, and finance-grade reporting,” Gong is usually not the primary system for that.

Kluster advantage: ✔ Full forecasting + revenue rollups + analytics suite
Gong advantage: ✔ Forecasting tied to deal risk + conversation-derived signals 

‍

Multi-System Connectivity (and why it matters more in 2026)

Revenue data rarely lives in a single CRM system. With renewals, product usage, and finance metrics often tracked separately, having multi-system connectivity is crucial for accurate sales forecasting.

As sales organisations grow and market trends evolve, integrating data from multiple sources ensures reliable forecasts, better decision-making, and alignment across sales, finance, and executive teams. This capability distinguishes advanced forecasting software like Kluster, which unifies diverse data streams into a trusted revenue planning platform.

Forecasting breaks when revenue data doesn’t live in one clean CRM object.

Let's look at some common reasons as to why forecasting breaks when revenue data doesn’t live in one clean CRM object.

• Renewals are often tracked in separate systems or processes from new business deals, creating data silos that complicate unified forecasting and revenue analysis. This separation can lead to inconsistent revenue definitions and challenges in accurately projecting overall sales performance.
• Product-led motions creating data in app/warehouse first means that revenue and customer activity data often originates directly within product usage analytics or data warehouses before syncing with CRM systems. This can lead to delays and discrepancies in forecasting if these data sources are not properly integrated and reconciled with sales pipeline management tools.
• Sage-based expansion refers to revenue growth tracked in external financial systems like Sage, which often uses accounting structures that don’t align directly with CRM amount fields, causing challenges in unified sales forecasting and reporting.
• Finance-owned definitions for revenue often focus on recognised income according to accounting standards, while sales-owned definitions for bookings emphasise the total value of signed deals regardless of recognition timing.

‍

Kluster

Kluster acts as a unified platform that brings together sales, finance, and leadership reporting and forecasting. It functions like a consolidated commercial data engine, providing a trusted forecasting layer that goes beyond just CRM data.

This makes it a reliable tool for enterprise decision-making, helping teams manage complex revenue data from multiple systems in one place.

Gong

Gong’s integrations and data strategy are designed around capturing interactions plus CRM context (deal record + activity signals), which is perfect for:

• Coaching and enablement
• Deal risk
• Rep workflows and pipeline inspection

But it’s not typically positioned as a multi-system finance-grade consolidation layer. Gong’s own forecasting positioning is still tied to pipeline inspection, deal boards, and AI predictors inside the Gong Revenue AI Platform.

Rule of thumb: If you can’t answer forecasting questions without touching finance-owned data definitions, you’ll want a forecasting-first layer (Kluster or similar) to sit alongside sales execution tools.

‍

Analytics & Reporting Depth

Kluster boasts a library of 180+ pre-built reports for revenue operations teams, covering key metrics such as pipeline changes, forecast trends, bookings rollups, and forecasting accuracy. This depth empowers revenue leaders to explore performance historically and in forward-looking scenarios.

Gong’s reporting excels in analysing interactions, coaching opportunities, and pipeline risk signals, but its analytics capabilities are more specialised and focused on sales behaviour insights rather than enterprise-level revenue forecasting and reporting.

Why Teams that use Gong often add Kluster

Many revenue teams start with Gong to gain deep insights into sales calls and improve rep coaching, which enhances deal execution and pipeline health. However, as forecasting challenges grow, such as inconsistent forecast accuracy, lack of multi-system data integration, and the need for finance-grade revenue modelling, these teams often experience forecasting pain that Gong alone can’t fully resolve.

This leads them to adopt Kluster as a complementary solution, leveraging its advanced analytics, comprehensive revenue forecasting, and robust reporting capabilities to create a trusted single source of truth for the entire revenue process. Together, these two tools, Gong and Kluster, form a powerful revenue tech stack that addresses both sales execution and accurate revenue planning.

Jessica Zinger, Senior vice president of revenue operations at ExtraHop, has the following to say about Kluster: “Before Kluster, we tried to cobble together a sales forecasting tool in a solution that wasn’t designed to provide forecasting and analytics functionality.”

The key reason financial teams rely on Kluster is its ability to serve as a single source of truth for the entire sales process, connecting CRM systems, financial data, and custom business objects into one unified forecasting engine.

How Mature Revenue Teams Use Kluster and Gong Together

For mature revenue teams, the Kluster + Gong combination means assigning clear ownership across execution and forecasting.

Gong sits with the sales organisation, providing visibility into deal behaviour, rep execution, and pipeline risk through conversation intelligence and activity signals. It helps sales leaders improve how deals are run.

Kluster sits with RevOps and Finance, acting as the forecasting system of record. It unifies CRM and finance data to produce finance-grade forecasts, scenario analysis, and board-ready reporting.

Used together, teams gain:

• Clear ownership: Gong supports deal execution; Kluster owns the forecast
  
• Cleaner forecasting: Kluster consolidates multi-system data into a single, trusted revenue number
  
• Stronger decisions: Execution insight feeds forecasting context without replacing revenue modelling
  
• Scale without friction: Sales leaders coach deals while finance plans with confidence

This is why the stack is increasingly common. Gong improves how revenue is created; Kluster ensures revenue can be forecast, explained, and trusted. Together, they let growing organisations align sales execution with reliable revenue planning, without forcing one tool to do the other’s job.

Which Tool is Right for You?

The choice comes down to what you own.

• Choose Gong if your priority is improving deal execution, coaching reps, and understanding what’s really happening inside the pipeline.
  
• Choose Kluster if you own the forecast and need finance-grade accuracy, multi-system revenue modelling, and numbers that stand up in board discussions.

If forecasting directly influences hiring, budgeting, or board trust, Kluster is typically the better fit.

For many mature teams, it isn’t an either-or decision. Gong strengthens sales execution; Kluster provides a trusted forecasting layer. Together, they support both day-to-day deal management and long-term revenue recognition, without forcing one tool to stretch beyond its core role.

Final Verdict: Kluster vs Gong

When deciding between Kluster and Gong, the clear takeaway is that these platforms serve complementary but distinct roles within revenue operations. Kluster excels as a comprehensive revenue forecasting and analytics solution designed for finance, RevOps, and executive teams who need accurate, finance-grade forecasts, scenario analysis, and board-ready reporting.

Gong shines as a conversation intelligence and deal execution platform focused on sales managers and reps, providing actionable insights from sales calls and pipeline health to improve coaching and deal outcomes.

This is not a replacement comparison; rather, Kluster and Gong often work best together, forming a powerful revenue tech stack that combines deep sales execution insights with reliable, data-driven revenue forecasting.

Choosing one over the other depends on your team’s priorities: if you need trusted forecasting and financial alignment, Kluster is the go-to; if your focus is on improving sales conversations and pipeline inspection, Gong is the ideal choice.

Ultimately, mature revenue organisations benefit most by leveraging both platforms to optimise sales performance while confidently predicting future revenue.

If you’re responsible for owning the forecast and need numbers your business can confidently plan against, book a demo of Kluster to see how finance-grade forecasting works in practice.

‍