This stage is less about financing and more about sales: Grow the base and beat churn.
This stage is less about financing and more about sales: Grow the base and beat churn.
Build a repeatable sales engine with a standardized process, the right CRM and automation.
Protect and expand existing accounts: Upsell, smooth renewals and invest in customer success.
At the growth stage, your technology venture is less about investors and financing and more about sales. Your product has proven its mettle, awareness is building, and growing the customer base now funds new staffing, continued research and development, and future expansion, all while keeping you well ahead of churn. The work centers on scaling your sales team and equipping them with the right tools and processes. What is new is how much of that engine is assisted by artificial intelligence, and how closely investors now watch for efficient growth.
A growth-stage technology company has established product-market fit and is scaling revenue, customers and head count, typically from Series B—the second major round of venture capital financing—through later private rounds. The focus shifts from proving the product to building a repeatable, efficient go-to-market engine and the back-office systems to support it, all while protecting and expanding the customer base you already have.
Several forces are changing what “scaling well” looks like at this stage:
Agentic AI is reshaping go-to-market. AI now assists in prospecting, qualification, forecasting, customer success and automated renewals, raising the productivity of every sales and service rep. See how technology companies are embracing AI.
Efficient growth is the benchmark. Investors weigh net revenue retention, payback of customer acquisition cost, and durable, capital-efficient growth, rather than growth at any cost. Explore embracing capital efficiency.
The economics of software as a service (SaaS) are shifting. Usage- and outcome-based pricing is changing how growth-stage companies monetize, forecast and report revenue.
Data and systems are the foundation. Clean customer relationship management (CRM) and usage data, plus enterprise-grade billing and revenue systems, are what make AI and analytics actually work.
Build a repeatable sales model through standardization, governance and process automation to avoid divergence among teams, which can harm your data. Involve the sales team in CRM system selection and equip reps with the information and insights they need to prospect, qualify, close and assess overall sales effectiveness. Create hybrid, cost-effective channels across e-commerce, direct sales and partner sales; revisit your go-to-market approach, customer segmentation and opportunities in adjacent products and new markets.
Stay focused on portfolio governance and cross-functional alignment for releases, and build an optimized service-delivery model that drives adoption up front. Shift to a frictionless, automated renewals process with the controls to manage data visibility and governance. Identify ways to sell into the existing base, and if one team both wins and services customers, consider splitting the function or revisiting compensation so incentives match strategic priorities.
Strengthen financial reporting controls and build out financial planning and analysis (FP&A). Manage revenue standards and tax compliance, and prepare for global customers and multicurrency transactions. Evaluate whether your IT and enterprise resource planning (ERP) systems meet your growing needs, and move toward enterprise-grade systems for billing automation, revenue recognition, CRM and quoting. As you grow, your intellectual property becomes a bigger target, so further harden your IP protection and cybersecurity.
Do not lose sight of the people. Hire and onboard staff with the skills to carry the company into the expansion and exit stages, and streamline onboarding (for example, with training content that reduces the load on existing staff). Continually evaluate whether key functions are best outsourced, co-sourced or in-sourced, keep total compensation competitive and aligned to strategy, and protect the culture as the company scales.
A repeatable sales engine, not heroics, is what turns a promising product into durable growth.
When companies invest in customer success, professional services and building a more optimized delivery model, they improve customers’ adoption and experience; in turn, this enables greater upsell potential and makes customers less inclined to churn.
RSM works with technology companies as they scale, offering assurance, tax and consulting services to support revenue operations and systems selection; financial planning and revenue recognition; customer success and retention strategy; AI and automation; and risk management and cybersecurity
Concentrate on building a repeatable, efficient sales engine, expanding and retaining the existing customer base, and scaling the back office (FP&A, revenue recognition, enterprise systems) to keep up, all while protecting intellectual property and margins.
Standardize the sales process, put the right CRM and enablement tools in place, automate repeatable steps, and give reps the data to prospect, qualify and close. Split new-business and account-management roles, aligning compensation accordingly.
Invest in customer success and a smoother onboarding and service-delivery model, make renewals frictionless and automated, and actively expand existing accounts. A higher adoption rate and greater net revenue retention are the clearest signs of efficient growth.
Consider a shift when manual processes and entry-level tools start to limit reporting, billing or revenue recognition, or once you serve global, multicurrency customers. Moving before the strain becomes acute avoids a costly rip-and-replace later.