Introduction
Compare Conga vs. Salesforce Agentforce Revenue Management
The modern Quote-to-Revenue (Q2R) landscape is currently defined by a shift toward unified, agentic platforms that manage the entire revenue lifecycle. In this space, the choice between Conga and Salesforce Agentforce Revenue Management (ARM) represents two distinct architectural philosophies for governing revenue decisions. While both platforms provide the infrastructure to move from initial quote to final recognized revenue, they approach the challenges of deal governance, pricing execution, and platform integration through different lens.
Conga, following its recent acquisition of PROS, positions itself as a CRM-agnostic revenue lifecycle management platform. It combines enterprise-grade configuration and contract management with advanced pricing science, aiming to connect commerce chains across diverse sales channels without being tied to a single ecosystem. The platform leverages AI intelligence capabilities to transform raw data into actionable deal guidance, providing a scalable backbone for industries with intricate sales cycles like manufacturing and financial services.
Salesforce ARM, the successor to legacy Salesforce CPQ, is built natively on the Salesforce core platform. It is designed to leverage the full Salesforce stack, including Data Cloud and Agentforce AI, to create a seamless, “on-core” experience. This platform targets organizations that have committed to a Salesforce-first architecture, offering a composable revenue solution that integrates quoting, billing, and AI-driven automation directly into the existing CRM environment.
Product Overview
Overview of each Solution
How organizations use Conga’s revenue lifecycle management platform and Salesforce Agentforce Revenue Management (ARM) will differ depending on the organization’s needs. Here’s a quick overview of each product:
Defining Conga
Conga is an open, CRM-agnostic platform designed to manage the entire revenue process, from initial price optimization to final billing and renewals. It connects fragmented business functions (i.e., sales, legal, finance, and operations) into a single thread, enabling organizations to handle high-scale complexity that often breaks traditional systems. Built on a unified data model that spans CPQ, Document Automation, and Contract Lifecycle Management (CLM), Conga helps businesses eliminate data silos and revenue leakage across diverse sales channels.
A key strength of the Conga platform is its architectural flexibility and the integration of AI-driven intelligence throughout the revenue lifecycle. Conga utilizes AI to provide advanced price optimization, predictive analytics, and automated contract risk assessment, helping organizations maximize margins and ensure compliance at scale. It is particularly well-suited for organizations with complex global operations or those that require a best-of-breed approach without being locked into a single CRM ecosystem.
Defining Salesforce Agentforce Revenue Management
Salesforce ARM is a unified “product-to-cash” solution built natively on the Salesforce platform. It replaces the legacy siloed approach of separate CPQ and Billing packages with a single, integrated lifecycle that handles quoting, order orchestration, subscription management, and revenue recognition. It leverages the power of Data Cloud and the Einstein Trust Layer, to enable “agent-assisted” revenue operations. It helps sales and finance teams execute decisions based on real-time data grounding.
A significant advantage of Salesforce ARM is its deep integration with the broader Salesforce ecosystem, making it the natural “stay-in-ecosystem” path for companies already standardized on Sales and Service Clouds. It utilizes Agentforce, an AI framework that embeds autonomous agents directly into revenue workflows to automate tasks and provide deal insights. While this provides seamless “on-core” connectivity and data flow, it requires the full Salesforce stack, including Data Cloud, to deliver AI execution and automated billing triggers. It’s a strong choice for companies seeking a unified sales and finance process strictly within their CRM.
Product Features
Comparison of Key Features
Salesforce ARM and Conga offer comprehensive suites including intelligent product configuration, subscription management, automated billing, and contract lifecycle management. The main distinction between the two lies in their architectural philosophy: Conga provides an open, highly customizable platform for complex enterprise governance, while Salesforce ARM offers an automated, agent-assisted experience optimized for the Salesforce-first enterprise.
Conga is exceptionally flexible in capturing intricate business requirements and managing multi-channel commerce, while Salesforce ARM offers powerful, native capabilities that enable businesses to unify their sales and finance operations into a single, AI-driven revenue lifecycle.
Here’s a breakdown of each product’s features:
| Conga | Salesforce Agentforce Revenue Management |
| Native integration with Salesforce CRM. Custom integrations with other CRM systems are available. | Configure complex product combinations with the same user interface as Salesforce CRM. |
| Integration for connecting with third-party software, including DocuSign, Adobe Sign, HubSpot, Salesforce Sales Cloud, Dropbox, SAP, NetSuite, and Google Drive. | Provide real-time insights into customers, deals, and prospects through its integration with Salesforce’s CRM platform. |
| AI intelligence drives pricing, quoting, and contracting. | Full agentic quote-to-cash: CPQ, billing, revenue analytics but requires Data Cloud and custom “agentic” configuration. |
| Relatively fast integration with minimal downtime and setup fees. | Full implementation may take 18-24 months. |
| Guided selling with real-time deal scoring speeds up the sales cycle and makes selling easier. | Salesforce offers pre-built guided selling capabilities, but complicated workflows require custom coding and development. |
| AiMe, Conga’s unified AI layer, provides prescriptive and proactive intelligence that drives revenue workflows across its open platform. | Agentforce, an AI framework that embeds autonomous agents directly into revenue workflows to automate tasks. Requires the full Salesforce stack, including Data Cloud, to deliver AI execution. |
| Smart price optimization, an AI-driven pricing science engine powered by AiMe that delivers account-specific price recommendations and margin protection across all sales channels. | Autonomous AI agents monitor real-time usage and account data within the Data Cloud to trigger dynamic pricing adjustments and enforce consistent discounting policies. |
| Digital proposals can be easily sent via attachable files or links, allowing companies to provide their customers with one point of interaction throughout all stages of the deal, rather than multiple files or links. | Each price quote is delivered as an attachable file, and any alterations necessitate a new version of the document. |
| Unlimited configurations for complex products and services, rules-based pricing, and unlimited attributes for configuration available out-of-the-box. | Additional features and licenses are available for added costs. |
| The user interface makes configuring pricing, discounting, carts, and check-out processes easy. | Customer communication within the Salesforce platform and its partners (like Slack). |
| Subscription, renewal, and order management capabilities with asset-based ordering. | Subscription management and complex billing capacity, plus advanced order management for enterprise customers. |
| Cross-sell and upsell insights with full contract visibility that show sales reps where to offer additional products. | Detailed reporting analytics for optimized pricing strategies and discount arrangements. |
| Automated approval workflows for faster turnaround times and quote collaboration across teams and stakeholders with audit trails. | Full-cycle quote-to-cash automation with Revenue Cloud. |
| Price optimization with price waterfall and cost analyses. | Profitability, discount structure, and revenue intelligence insights synced with the Salesforce platform. |
| Web and mobile platform with software integration. | Web and mobile (iPhone and Android) platforms. |
| Phone supportEmail responsesCommunity and forumFAQ and knowledge baseVideo tutorialsWebinarsNew user training and onboarding | Phone customer supportKnowledge baseSalesforce Trailhead (self-service learning)Customer onboarding |
Customer Size
Ideal Customer Profiles
The ideal customer profile for each solution is typically defined by the complexity of their revenue model and their existing technology stack.
- Conga: Best suited for large-scale, global enterprises that operate in high-complexity environments. These organizations often manage multi-channel sales (direct, partner, e-commerce), require deep cross-functional governance across disparate CRM and ERP systems, and need to process massive transaction volumes without performance degradation. It is the preferred choice for companies that prioritize architectural independence and best-of-breed pricing science.
- Salesforce Agentforce Revenue Management: Ideally fits mid-market to large enterprise organizations that have standardized their entire go-to-market strategy on the Salesforce platform. These companies typically seek a unified experience and are willing to invest in the full Salesforce stack (including Data Cloud) to achieve AI-driven automation. It is best for teams that prioritize ecosystem consolidation over cross-platform flexibility.
Customer Support
Support Features & Resources for Each Solution
New software implementation is always resource-intensive. For larger businesses, access to support could be the difference between a successful or failed implementation.
When it comes to customer support, Salesforce has an edge over Conga for larger organizations as they can contact their dedicated account manager directly inside the admin console. Salesforce also offers premium IT consulting and on-site training for Salesforce users.
Conga offers its customers various options for customer service. Between phone and email support, videos, and a knowledge base and FAQ section, multiple resources are available to Conga’s buyers. Plus, Conga offers new user training and onboarding to ensure everyone in the company can properly use the software from day one.
Pricing
Breakdown of Pricing Options
Conga and Salesforce ARM have slightly different pricing models. Conga’s pricing is modular, meaning users sign up and pay for the features they use. Salesforce ARM has two packages plus Agentforce and data cloud credits, which are required if you want to add its AI agent capabilities.
| Conga | Salesforce ARM | |
|---|---|---|
| Product Pricing | Custom configuration – contact sales | Two tiers available:Revenue Cloud Growth includes:Quoting & ConfiguratorOrder CaptureSubscriptionsRevenue Cloud Advanced includes:Everything in GrowthContracts & OrdersConsumption & InvoicingAI & AnalyticsAdd Agentforce 1 Editions for AI:Approx. $550/user/month |
| Implementation Fees | One-time implementation fee | Ongoing implementation fees for custom coding |
| Additional Licenses | Additional product costs on a per-user basis | Additional license fees for e-sign, contract management, buyer engagement tracking, and other licenses |
To get the most out of Salesforce, businesses can expect to incur additional customization, licensing, and training costs beyond the one-time implementation fee. Higher-level feature sets require more complex setups and expensive integrations, making it best suited for those with larger budgets.
With Conga, you only pay for the features you use, making it a great option for businesses looking for an all-in-one solution with a lower total cost of ownership.
Summary
Considerations for Choosing Between the Two Solutions
Conga offers an architecturally independent path to revenue management, leveraging the AiMe intelligence layer to manage extreme deal complexity across diverse CRM and ERP landscapes. It is the definitive choice for global, multi-channel enterprises that require high-performance governance and prescriptive pricing science without being constrained by a single software ecosystem.
Conversely, Salesforce Agentforce Revenue Management provides a highly integrated, “on-core” product-to-cash experience optimized for organizations fully committed to the Salesforce platform. By embedding Agentforce and Data Cloud directly into the revenue chain, it allows Salesforce-standardized companies to automate workflows through a unified data model, prioritizing ecosystem synergy and agent-assisted operations over cross-platform flexibility.
FAQs
Frequently Asked Questions
Conga is a CRM-agnostic platform designed to integrate with any ecosystem. It provides native, deep integrations for Salesforce, Microsoft Dynamics 365, and Oracle CX. Additionally, its API-first architecture allows for seamless connectivity with custom CRM environments and multi-CRM landscapes, ensuring that revenue logic remains consistent even if an organization uses different CRM systems across various business units.
For organizations moving from legacy Salesforce CPQ, both platforms offer distinct paths. Salesforce ARM provides a “stay-on-platform” migration, which leverages existing Salesforce data but often requires a significant re-implementation to move from the legacy package to the new core-native RLM architecture. Conga provides a “modernization” path that decouples revenue logic from the CRM, allowing users to migrate complex product rules and pricing models into a more performant, scalable environment that isn’t subject to Salesforce’s multi-tenant governor limits.
Yes. Conga is designed for the modern, mobile-first workforce. Its mobile-responsive interface and dedicated applications allow field sales representatives to configure quotes, generate documents, and secure electronic signatures while on the go.
Conga is built for global scale, offering robust support for multi-currency, multi-language, and multi-entity requirements out of the box. Its unified data model allows global organizations to manage localized price lists, tax rules, and legal templates while maintaining centralized visibility and corporate governance. This enables seamless revenue operations across different regions and business units, ensuring compliance with local regulations without fragmenting the global revenue strategy.
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