I like how easy MonetizeNow is to use for sellers and admins, and how flexible it is when we change our product catalog and pricing. Sellers can create and send quotes quickly, and the step-by-step approach helps them build even faster. I especially value the Slack integration because I can review quotes, see where we stand and why, and respond in Slack or MonetizeNow. The HubSpot integration syncs the fields and gives us a clear view of contract value, year-over-year growth, incremental ARR, and step-ups. It also gives us a single source of truth for approvals and pricing, with clean, seamless reporting and rev rec. Our setup was quick and clean, and we brought over legacy data. The support from our CSM, Perry, and the wider team, including the CEO, is exceptional. They’re eager to help with edge cases and our pricing-model complexities, either through technical help or by working with us on how to build things in MonetizeNow.

I like MonetizeNow’s clean, easy-to-use interface and the robust data it captures, which allows us easily reconcile with our billing and finance software and ERP system. It accurately calculates new and incremental ARR, including changes from amendments, upsells, and downsells. We can set up pricing and packages, and the product catalog supports revenue allocation by product within a bundle. Our CSMs & Expansion AEs can also process renewals, add contractual price increases, and attach redlined MSA documents. I also like the validation rules, conditional terms, and robust approval rule engine. It’s easy to set up approval rules and teams of approvers, and we can attach approval rules to very specific scenarios (such as edited conditional terms). The AI MCP connector (beta) lets us create quotes through our AI agent, which increases efficiency especially for high volume quote creation. MonetizeNow has helped us standardized our contracts and keep quotes consistent across customers, while making sure the right people approve customizations. MonetizeNow is a very robust CPQ solution, especially considering setup was fairly straightforward. We were up and running in about 2.5 months with a team of 2 system admins and 1 analyst.

It was quick to implement and easy to administer.