Discover how Otto, a SaaS company specializing in banking software, leverages product-led growth strategies and advanced AI-driven marketing to optimize customer acquisition, retention, and expansion.
Let’s look at the fundamentals of a SaaS company - these are real-world numbers of one of our customers.
The company (let’s call it “Otto”) sells Banking software for financial services. The first target customer is small and medium-sized businesses that pay, on average, $649/mo. The enterprise segment pays an average of $1290 per month. The overall MRR median is $833/mo.
The company operates a hybrid go-to-market motion (product-led & sales-expanded) and has 3 tiers - Free, Professional, and Enterprise.
The flywheel starts with a self-service funnel to onboard new customers on their free tier. As soon as the lead reaches a usage threshold (become a product-qualified lead) - sales reps engage the accounts ready to convert the paid plan.
After the customer converts to the Professional plan, account executives look for usage and fit data to determine when the account becomes expansion-qualified so they can upsell for the Enterprise plan.
Here are the “before” company metrics:
The goal is to reach the “After” state - be on the top quartile benchmarks for $1-5M.
We will focus on CAC Payback and Net Dollar Retention since those are easier to influence using product-led activities. Your ARR/FTE and Gross margin are vital, but those require significant operational/personnel changes that are outside the scope of this article.
To understand these benchmarks in action, let’s look at the fundamentals of the Otto revenue model.
Lower CAC. The goal is to get CAC Payback down to as close to 5 months as possible. This means heavily controlling the cost per qualified lead (PQL, MQL, SQL), cost per opportunity, and cost per closed/won, which will significantly impact your CAC payback period.
However, the major leverage (where you have the most control) is improving your free-to-paid conversion rate - how many signed-up leads end up being paying customers. This can be done via A/B testing, personalization, and onboarding journeys to acquire the paying customer at a higher rate.
Lower churn and increase expansion revenue. The industry standard benchmark is quickly becoming “net dollar retention.” If I acquire $1 of MRR today, what is that $1 worth over time? Today's true best-of-breed companies see $1 grow over time, becoming $1.10 or more.
We suggest taking a step further and breaking down this metric into two derivative KPIs that your marketing & sales teams can pursue - churn and expansion revenue. The most critical churn version is monthly recurring revenue (MRR) churn and expansion (the total amount of your products and services that were upsold to your existing customers). You must lower churn and expand the customer base simultaneously to achieve profitability.
With many business leaders at a crossroads, the new direction is clear—precision and efficiency to manage the customer's lifecycle.
High-performance companies are deploying AI-first technology that provides customers the timely marketing they seek, thereby growing LTV sustainably.
The hard truth is that if you don’t create timely marketing moments with your customers, your competitors will.
Sellers & marketers need an elegant GrowthOS that operates on Intent rich User to create timely marketing moments:
It needs to connect multiple data sources and allow having a unified user profile to enable consistent experience & personalization across any device.
Have a range of marketing & sales tools to increase marketing efficiency and provide timely experiences to customers with less operational overhead.
GrowthOS is not just another tool - it is fundamentally a new way to operate your growth operations end-to-end.
We developed a thoroughly researched and industry-backed methodology to empower any business to level up its game in reaching the ultimate goal - growing faster & more profitably.
Identify, build, and analyze audiences. Unify customer data across all digital and offline touchpoints and use it to identify your target leads & accounts.
✅ How to →Discover
Predict user-intent in real time with machine learning. Understand your customers better than ever before with a neural network algorithm that identifies future-purchase intent.
✅ How to → Predict
Personalize every interaction to deliver an optimal customer experience at scale across web, mobile and email.
✅ How to → Personalization
Set timely, automated triggering events based on real-time behavior to send timely emails and SMS when customers are most likely to engage, like in the event of lifecycle stage change, a lack of activity shown in the past week, and more.
Experiment anywhere on your digital properties with great agility, more confidence, and less risk
Launching your GrowthOS motions does not require dozens of spreadsheets, OKR docs, or multiple agencies to figure out your way.
We created a library of use cases to get inspiration on starting up with GrowthOS on the fly.
Discover marketing workspace where you turn audiences into revenue.
Learn about IntemptImagine pouring your hard-earned money into an ad campaign, only to watch your budget drain with every click. Costs are rising, and you're desperate for those clicks to turn into customers. But when visitors land on your page, they're met with the same generic message that doesn't address their needs. Frustrated, they bounce, and your investment goes up in smoke.
Leads are pouring in, everything looks promising, and sales reps are eager to close deals. But despite meetings being scheduled, the pipeline just isn’t converting. Why?
A Comprehensive Approach to Boosting User Acquisition, Retention, and Monetization Through AI-Driven Insights and Personalized Marketing
Get our newest insights for Growth practitioners