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Conga Advantage CPQ

Score8.8 out of 10

152 Reviews and Ratings

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What is Conga Advantage CPQ?

Conga CPQ empowers sales, partners, and customers to efficiently configure complex products and services offerings, and provide personalized prices and quotes, utilizing codified product and pricing information - to drive higher win rates and a more pleasurable buying experience. Conga CPQ also helps to maintain a single price book, discounting structure, and quoting structure across all channels.

With an API-first approach, configuration, pricing, or quoting capabilities that can be embedded into any eCommerce, Direct Sales, and Partner Portal, the software helps to streamline configuration and pricing across the revenue lifecycle, and provide the flexibility to add CPQ capabilities to existing revenue operations at a pace that supports business needs.

Media

the Product's Capabilities. It can validate any combination of rules & constraints with an unlimited number of configuration attributes​.
the interface to model & deploy any pricing structure or strategy​ - pricing intelligence & discounting rules​ and profitability insights ​& margin visibility​.
the interface for product & pricing configurations​, for simple and complex products.
the quoting interface.

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Top Performing Features

  • Product configuration

    Allows users to configure products and services by selecting bundles, constraints, options, preferences, etc.

    Category average: 9.4

  • Price adjustment

    Sales users can adjust or override prices, based on coupons, discounts, markups, etc.

    Category average: 9.1

  • Attachments to quotes

    PDFs, contracts, videos, etc can be attached to quotes and/or proposals.

    Category average: 8.9

Areas for Improvement

  • Guided selling/Sales portal

    Provides salespeople with tips, recommendations, or question sequences to help with product configuration and quoting, and/or to assist with cross-sell and upsell.

    Category average: 8.6

  • Purchase history and open contracts

    Provides information about a customer’s previous purchases and current purchase/service agreements, which may factor into new sales or need to be modified to account for new sales.

    Category average: 8.8

  • CPQ reporting & analytics

    Users can report on and analyze CPQ processes. Metrics may include quoting cycle time, proposal acceptance rates, revenue, etc.

    Category average: 7.5

Reliable software that boosts quote accuracy across channels

Use Cases and Deployment Scope

Conga Advantage CPQ has been of great advantage for us, and we primarily use it to generate prices and finalise quotes. We have multiple channels through which we sell, and we use Conga Advantage CPQ to unify pricing and terms across channels in order to create a single source of truth. Also, getting contract signatures is seamless with Conga Advantage CPQ, which I like very much.

Pros

  • Automated Contract Signature from the pricing feed
  • Seamless way of converting quotes to final orders through Advantage CPQ
  • Proactive AI agents to help with deal closure

Cons

  • There is a limitation when it comes to large carts which is a hassle sometimes
  • The initial set up of products, and pricing rules is a time consuming and a tedious process
  • More integrations can be provided with basic tools

Return on Investment

  • The quote sharing ability across cross functional teams saves a lot of time and effort for us
  • Our average sales cycle has improved by 30% with the introduction of Conga Advantage CPQ
  • The price history feature allows us to know the entire history thereby making the journey much more smooth.

Other Software Used

Canva, F5 on IBM Cloud, Dealfront

Conga Advantage Platform

Use Cases and Deployment Scope

We are using Conga Advantage CPQ for our Quoting process. We were facing a large cart issues when we have large number of products in the cart it was failing. With the Conga Advantage CPQ we are able to add more than 100 products into the cart.

Pros

  • Large Cart
  • Approvals

Cons

  • The sync back. We need the data immediately syncing back to Salesforce once we finalize the cart.
  • Deployment process. Currently we need to do a lot of manual steps to migrate the changes from one org to the other.
  • Sandbox setup : Once we refresh the Salesforce sandbox there are a lot of manual steps to connect it with the CPQ advantage sandbox.

Return on Investment

  • Before the CPQ advantage platform we were able to add only 40 line items in the cart. After moving to the platform we are able to add 100+ line items.

Win with Conga Price Optimization

Use Cases and Deployment Scope

Price Optimization and management helps provide clarity around managing global and regional price differences. We can see optimization guiding intelligent price decisions based on win rate probabilities. The real-time feedback delivered to the deal desk speeds up decisions.

Pros

  • It delivers real-time price guidance to the deal desk leveraging historic wins to shape recommendations
  • It brings price management into a single platform to be used globally
  • It helps us set and implement guidelines quickly.

Cons

  • It would be great to do price simulations for all changes, not just the ones assigned a price method to make the change.
  • Expose the training to become more self-sufficient developing methods, custom insights, and simulations in the on-boarding/implementation phase so we are more equipped to self-serve on minor changes

Return on Investment

  • Improved quote quality and real-time recommendation delivery
  • Insight visibility allows for simplicity for seeing trends, making comparisons, and drilling into details.

Alternatives Considered

Zilliant

Price Optimization Experience

Use Cases and Deployment Scope

We are currently using the Smart Price Optimization, and Smart Price Management. This has allowed us to set global prices, and align the regionally prices in a consistent way. With the optimization we are better able to get the correct prices on our agreements in a shorter period of time.

Pros

  • It provides the users the ability to set specific parameters according to their own business needs.
  • It provides detailed analytics regarding how our behavior has impacted our pricing and margins.
  • It helps us understand how our past behavior can be utilized to make better decisions in the future.

Cons

  • It would be nice to see more options available for overrides. It would be helpful to have some additional controls over the pricing levels, and then see how that differs from the Price Optimization recommendations.
  • Currently the data we are using is focused on transaction history, but it would be nice to have an option to base it on quote history instead. Seeing where we have quoted and not transacted could also provide valuable insights.
  • The simulation has a number of override fields that need to be input, it would be nice to have either more specific drop downs instead, or to have the specific fields be pre-populated to show what is needed for each user.

Return on Investment

  • Improved response time
  • Better insights into what pricing is actually required as opposed to what is being requested.
  • Detailed insights into how those prices are being established.

Conga Advantage CPQ Review

Use Cases and Deployment Scope

We use the product for guidance and to really make sure we're optimized on the products we sell.

Pros

  • The segmentation piece is done really well.

Cons

  • I would say maybe a little more clarity on the normal networks used for the general core. A little bit more of a deeper dive on how those neural networks are working, just to look at it from a technical standpoint.

Return on Investment

  • It's really helped develop target prices,