What is Upselling in SaaS?

SaaS upsells are a strategy for selling products to existing customers (by encouraging them to upgrade their plan to add more users, premium features, or higher usage limits). This is, in fact, a major driver of expansion revenue, which refers to revenues after the first sale. 

SaaS upsells and cross-sells differ in the following manner: 

The cost and security implications of sourcing leads from the current customer base can differ from those associated with finding new customers.

• Efficiency considerations: Implies that selling to existing customers may be comparatively simpler than acquiring new prospects, potentially by a margin of 60%-70%.
• Cost: The expense associated with gaining expansion revenue often differs from the cost of initial customer acquisition, with estimates suggesting a factor of roughly 6 to 7.
• Retention: These strategies relate to both product adoption and the incorporation of the software into the user’s regular tasks.
• Health: Upselling efforts can correlate with changes in Net Revenue Retention (NRR) and reliance on new customer acquisition.”

Proper SaaS upselling is a logical continuation of the user experience rather than a sales pitch the user is “forced into.”

•   Tiered Pricing: Dividing plans in such a way that the correspondences between value and price become increasingly more explicit.
•   Feature Gating: It involves granting access to advanced features based on customer subscription level.
•   Usage-Based Upgrades: Offering users offers when they have hit certain limits.
•   Expansion & Support: Making extra seat licenses, premium support packages, or bundled add-ons available.
•   Channels: Making use of in-app notifications, targeted email campaigns, and direct contact with the Customer Success team.

It takes a well-thought-out process to bring together product, sales, and customer success teams to execute an upsell.

1. Determine the trigger for customer segmentation, usage behavior, and value extraction.
2. Narrow down the list of potential upsell customers by looking at product usage based on team, region, or segment.
3. Show them what they will get from upsells, especially focusing on moments when customers are less hesitant, such as renewal, etc.
4. Give a product tour or trial to showcase the value increase of the upgraded tier.
5. Finalize the deal and track the account’s health.

Health scores based on information and use limitations serve as the primary tools to indicate expansion potential accounts.

•   Health Scores: Assess customer health metrics and interaction levels; scores in excess of 80 are sometimes correlated with expansion potential.
•   Trigger Matrix: Create a matrix with various parameters such as usage thresholds (e.g., 95% of a limit), feature adoption, and renewal nearing.
•   Predictive AI: AI can generate scores that may forecast churn and identify changes potentially related to upsell opportunities.

Dedicated performance dashboards provide data that may influence the timing of offers.

•   Metrics to Monitor: Besides tracking Expansion MRR and NRR, also monitor the rate at which customers are reaching their limits (or overusing).
•   Cohort Analysis: Check which customer segments are often growing their usage or account size, and focus on replicating that success.
•   Relevance: Let the data tell you who exactly is ripe for an offer and what exactly the solution will solve their problem.

Effective offers identify a significant customer problem and illustrate how the product addresses it, ideally using the customer’s own language.

•   ROI-Focused: As well as describing the thing, say how much time the customer can save, how the person can do more work, or show the business capacity that a customer can get out of the product.
•   Friction Mitigation: Focus on facilitating the upgrade process within the application.
•   Psychological Triggers: Social proof and zero-cost trials may be considered, but time pressure is generally not recommended.
•   Value Communication: We have seen that generic messaging is less effective than quantified messaging (in which specific bottlenecks are solved).

Keeping an eye on a good mix of revenue and retention metrics keeps you from being “fooled” by expansions that cover up customer churn.

•   Revenue Metrics: Besides Expansion, MRR/ARR measure Average Revenue Per Account (ARPA), and Average Contract Value (ACV).
•   Growth Metrics: Besides Upsell conversion rate, measure Lifetime Value (LTV) uplift.
•   Retention Metrics: Besides Net Revenue Retention (NRR), measure Gross Revenue Retention (GRR).
•   The GRR Rule: Don’t forget to check Gross Revenue Retention all the way; it can reveal retention problems that have been hidden by high upsells, even if NRR looks good.