SaaS Revenue Optimization

The shift from seats to agents pressures SaaS margins. At the same time, the longstanding practice of getting enterprise customers to pre-commit and also prepay for functionality they may never deploy will get harder as CIOs look to free budget for their own LLM costs. To weather the storm, some SaaS companies have increased prices. This boosts revenue and margins in the short-term but can't be done repeatedly and creates even greater scrutiny over shelfware as procurement teams right-size and shift contracts to "pay as you go." To achieve sustainable growth, SaaS companies need to become hyperefficient at sales and marketing. Here are common ways to do so and who's doing it well: 1. PLG. Shopify and Atlassian exemplify efficient go-to-market based on product-led growth with free trials, low-friction upgrades and upsells. Their sales teams only need to get involved in the biggest opportunities at the largest accounts; every other step in acquisition, commercial transaction, activation, onboarding, and growth is self-service and automated. 2. Vertical SaaS. Guidewire Software and Veeva Systems are laser-focused on insurance and life sciences, respectively. Rather than casting a wide net, they spear-fish with deep domain knowledge and purpose-built solutions for that industry's specific workflows and regulatory requirements. Guidewire doesn't need to buy Super Bowl ads– their annual customer conference is the Super Bowl for property & casualty insurance executives. Nearly zero GTM effort is wasted– unsurprisingly they're the two most efficient on the list. We modeled Hearsay Systems after both these companies, and this focus allowed us to win incredible market share among Fortune 500 banks & insurers despite only raising $60M in totality. 3. Relocate operations to lower-cost regions and AI. This is private equity's favorite playbook to take costs out of companies they buy. Field sales continues to shift more to Zoom, which means you can hire AEs anywhere. Inside sales contributes a greater % of revenue as PLG motions are established. AI handles top-of-funnel leads qualification and generating marketing content and campaigns. 4. Focus on gross revenue retention. Because of high customer acquisition costs in #SaaS, leaky buckets are margin killers. Use LLMs to help customer success teams analyze product usage, segment cohorts, and identify opportunities to increase value realization. Put in guardrails to prevent sales reps from overselling an account, as doing so only creates churn in the next renewal cycle. 5. Introduce another product line. This only works if your new product has the same buyer as your existing products. Many SaaS acquisition pro formas fail to actualize for this reason, as it's not actually feasible to have the same AE sell both old and new products. Every SaaS company right now needs to double down on one or more of these levers in the AI era.

There's a simple pricing trick that has saved us millions in SaaS revenue. It's called a ramp deal and most sellers still aren't using it. A startup with 500 employees once pitched me on a 3,000-user deal. They wanted our best volume discount immediately based on their three-year growth projection. Their confidence was admirable, but I’d seen this play out many times. The growth sometime does materialize as predicted. Either the customer's business doesn't scale as planned, the rollout is slower than expected or the actual adoption never reaches the promised heights. Meanwhile, you've locked in your lowest price and left significant revenue on the table. This is where ramp deals come in. Instead of discounting based on promised future growth, you create a tiered structure that aligns discounts with actual usage: Year 1: 1,000 users at $100/user/year = $100,000 Year 2: 2,000 users at $90/user/year = $180,000 Year 3: 3,000 users at $80/user/year = $240,000 If they only reach 2,000 users by year three, they continue paying the year-two rate of $90/user. This protects your revenue at $180,000 instead of the $160,000 you'd get if you had given the full discount upfront. The beauty is that both sides win. Customers still get volume discounts as they grow, making their expansion more affordable. You ensure that discounts are tied to verified user counts, protecting your revenue if projections fall short. And there's built-in flexibility: if a customer severely misses projections (say they're stuck at 1,000 users), you can renegotiate the ramp to avoid unsustainable terms. At OneLogin, we used ramp deals regularly with high-growth startups like Uber and Airbnb that were doubling in size every 6-12 months. For hyper-growth companies, we structured ramps quarterly; for more stable enterprises, annual ramps work better where the ramp is based more on adoption projections than employee growth. The key is finding the balance between customer optimism and vendor protection. Your sales team gets to close deals with attractive terms, and finance doesn't have to worry about overgenerous discounts eating into margins. If you're not using ramp deals in your B2B pricing strategy, you're probably leaving money on the table. It's a simple technique that aligns incentives and builds more sustainable relationships with your customers.

A few weeks ago I shared data that most SaaS startups never make it. Just 3.5% reach $20 million in ARR within ten years of monetizing, worse odds than getting into Harvard. What makes those outliers different ⤵️ I investigated new data from ChartMogul, the SaaS metrics & growth platform where I'm an Analyst-in-Residence. Their dataset covers 6,525 software companies with historical data going back 10+ years. What I found surprised me. The winners didn’t necessarily *start* better. They *became* better, reinventing their startups from $1M to $20M ARR. The four key takeaways you need to know: 1. Interestingly, starting metrics at $1M ARR were pretty similar for the companies that made it to $20M & those who stalled out. The main difference was MoM growth rate. Outliers were growing 16.7% MoM on average; others were growing 8.7%. But even this wasn’t as pronounced as it appears. The top quartile of those who *didn't* make it outpaced more than half of the outliers. Clearly, starting momentum isn't the only factor at play. 2. The outliers were meaningfully better at improving their growth metrics compared to everyone else. Few managed to accelerate growth rates. But the majority got better at everything else including: - Average revenue per account: 72% improved by more than 10% - Share of MRR on annual plans: 71% improved by more than 10% - Gross revenue retention: 51% improved by more than 10% - Net revenue retention: 45% improved by more than 10% 3. Outliers raised prices, increasing avg revenue per account by 82% (!) from $1 to $20M. This was 20 pts better than others. There are many paths to a higher revenue per account. The common denominator is to increase perceived value over time while simultaneously monetizing that extra value. 4. Outliers got better at expanding their customers with NRR increasing by about 10 percentage points. This was 6 pts better than others, which compounds year after year. A major driver of this is shifting from single product to multi-product, allowing for more surface area to expand customers. --- See the full report in Growth Unhinged here: https://lnkd.in/eva67mqr A special thank you to founders Alina Vandenberghe 🌶️, Daniel Lang, Archie Hollingsworth, Amjad Masad, Zeb Evans, and Varun Anand for sharing their 🔥 learnings on the $1 to $20M ARR journey. #startups #saas #retention #pricing

Unlocking New Revenue Streams with SaaS Models A few years ago, I sat across from a startup founder who had built a brilliant product—an AI-powered analytics tool for eCommerce businesses. The problem? They were struggling to scale. Their high upfront costs and one-time licensing fees limited customer acquisition. “We have a great product, but revenue is unpredictable,” he admitted. I’ve seen this challenge time and again—companies with exceptional tech but outdated monetization models. That’s when I asked him, “Have you considered transitioning to SaaS?” Fast forward 18 months, and that same startup saw a 3x increase in revenue, higher customer retention, and expansion into global markets. That’s the power of Software-as-a-Service (SaaS). Why SaaS is Driving Business Growth The SaaS market is projected to reach $908 billion by 2030, growing at a CAGR of 18.7% (Fortune Business Insights). Businesses are increasingly moving away from traditional software licensing to subscription-based, cloud-enabled solutions, unlocking new revenue streams and market opportunities. At Devsinc, we’ve helped numerous clients transition to SaaS, and the benefits are clear: 1- Recurring Revenue Stability: Unlike one-time sales, SaaS provides predictable, subscription-based income. 2- Scalability: SaaS businesses grow exponentially with minimal incremental costs. 3- Global Reach: Cloud-based delivery removes geographic limitations. The Real Impact of SaaS: A Case Study One of our eCommerce clients, initially selling packaged software, struggled with declining sales. We helped them pivot to a SaaS-based model, offering monthly subscriptions and AI-driven customer insights. The results? A 42% increase in customer lifetime value and 60% higher user engagement. The Future of SaaS: AI, Verticalization, and Automation By 2026, 70% of software products will shift to SaaS-based models (Gartner). Emerging trends include: - AI-powered SaaS: Automating workflows and enhancing decision-making. - Industry-Specific SaaS: Tailored solutions for sectors like healthcare, fintech, and retail. - Usage-Based Pricing: Charging customers based on consumption, increasing flexibility. Building a Successful SaaS Business Transitioning to SaaS isn’t just about moving to the cloud—it’s about redefining how value is delivered. Companies that invest in customer-centric experiences, seamless onboarding, and continuous product evolution will lead the market. The conversation with that founder wasn’t just about switching business models—it was about embracing a new mindset. SaaS is more than software; it’s a strategy for sustained, scalable growth. For companies looking to unlock new revenue streams, the question isn’t whether to adopt SaaS—it’s how quickly they can adapt. The future belongs to those who can innovate, iterate, and deliver continuous value. Are you ready to make the shift? #SaaS #BusinessGrowth #RecurringRevenue #TechInnovation #DigitalTransformation

Ever wondered why despite immense potential, some SaaS companies struggle to scale and achieve profitability? I recently went deep into a compelling discussion that shed light on the vital role of business metrics in SaaS growth. One anecdote stood out: the story of Salsify, a company that enhanced its trajectory by relocating its European headquarters to Lisbon, symbolizing a strategic shift in optimizing operations. The central theme was crystal clear: "If you can't measure it, you cannot improve it." Accurate metrics are not just numbers; they shape strategies, align teams, and spark growth. But what's the secret formula? Key takeaways include: - The Rule of 40: A SaaS company's growth rate and profitability combined should exceed 40%. - Net New ARR: Monitor bookings via net new Annual Recurring Revenue (ARR), encompassing new customer ARR, expansion ARR from existing customers, and losses from churned customers. - Sales Funnel Efficiency: Deploy a holistic funnel that includes onboarding, retention, and expansion. - Sales Team Metrics: Productivity per salesperson and timely hiring are crucial to meet growth targets. - Customer Economics: Balance the Customer Acquisition Cost (CAC) against the Lifetime Value (LTV). Aim for an LTV to CAC ratio of 3:1 and recover CAC within 12-18 months. - Negative Churn: Expansion revenue should ideally outpace revenue losses from churned customers for sustainable growth. Metrics like these can transform a SaaS company from merely surviving to thriving. It's fascinating how strategic measurement and adjustment can turn potential into proven success. How do you leverage metrics to steer your SaaS business towards growth and profitability? Share your experiences and insights! #SaaSMetrics #GrowthStrategy #BusinessAnalytics #SaaS #CustomerRetention #StartupGrowth #ScaleYourBusiness

Three dashboards. Three different answers. One company. We were in a board prep meeting for a $12M ARR SaaS business. Marketing said pipeline was up 42%. Sales said deals were “strong.” Finance said cash was tighter than expected. All technically true. And completely disconnected. The CEO looked at me and said, “Why does it feel like we’re growing… but not winning?” That’s when we pulled the thread. Marketing was optimizing for MQL volume. Sales was comped on closed-won revenue. CS incentivized on renewals, not expansion. Finance was modeling burn on bookings, not cash collected. Everyone was hitting their number. The company wasn’t. That’s not a sales problem. That’s not a marketing problem. That’s a RevOps problem. And RevOps isn’t CRM hygiene or a better dashboard. It’s economic alignment. We rebuilt the system in three moves: ① Defined a single source of truth for pipeline stages tied to revenue recognition rather than lead status. ② Shifted marketing compensation to pipeline quality (stage progression + win rate), not just top-of-funnel. ③ Modeled CAC payback and expansion revenue by cohort so every growth experiment tied back to enterprise value. Nothing flashy. No new headcount. No AI wizardry. Just alignment. Six months later: Win rate improved 11%. Sales cycle shortened by 18 days. NRR climbed from 101% to 123%. Burn multiple dropped below 1.2. Same team. Same product. Different system. Here’s the thing most founders miss: Growth is not a volume game. It’s a coordination game. If Marketing, Sales, CS, and Finance are optimizing different outcomes, you don’t have a growth engine. You have four very busy teams. The best RevOps leaders I know don’t obsess over dashboards. They obsess over incentives. Because incentives drive behavior. Behavior drives metrics. Metrics drive valuation. If your board meeting feels confusing, it’s probably not because your growth is unclear. It’s because your economics are. End stop.

During my career I helped price 10+ SaaS products that have generated over $3B in revenues. Recently my CEO Adam Robinson and I discussed how to price our new B2B product. Here's a breakdown of our thinking: BACKGROUND: We are launching a new identity-resolution product that is arguably superior to other substitutes in the market. The market we operate in has organized itself into two tiers: High and lower priced solutions. Here’s a pricing wisdom that I have developed over time : 1. If you want to increase revenue incrementally, increase price  2. If you want to increase revenue exponentially, decrease price 3. If you want to dominate your space, give it away for free and charge later When pricing, it’s important to understand your motivation:   - Are you trying to capture more revenues? - Are you trying to compete more effectively? - Do you want to switch market segment or increase TAM? - Do you want to comfortably win or completely dominate the space? Once there’s clarity, it becomes easy to use pricing as a lever to navigate the business towards the desired outcome. We are fortunate to have a profitable business that’s generating $22M+ in ARR. This allows us to go slow on monetization. From our initial discussions, it was clear we needed to optimize our pricing and GTM for rapid market adoption and not short term revenues. Largest growth always happens at the latter end of the curve, but for that we need to have a bulk of the market already using us. We will try and get 250K+ domains (including free signups) in the next 2 years.  Once we decided we wanted to go freemium, it made sense to double down on self serve motion. This also gave us some direction to the kind of GTM team we want to build. We also knew backend data costs had to be fixed with zero marginal cost to support freemium pricing. To increase our likelihood of capturing a significant TAM, it only makes sense to decrease all friction to adoption - including pricing. Most of the competitors are charging on traffic volume. To change the game, we took volume out of the picture. Given we can provide this solution at no marginal cost, we will resolve unlimited traffic (fair usage) for the same price. We are instead charging on integrations. The lowest priced plan requires users to work with excel files. Whereas the other more expensive solutions provide additional integrations. We think disruption happens at the low end of an established market. So we have a laser sharp focus at the SMB/lower MM users to drive our signup numbers. We ended up with: Plan 1: Perpetually Free, but no download Plan 2: $295/mo, csv download, slack integration Plan 3: $495/mo, Sales Integrations Plan 4: $995/mo, Sales + Marketing Integrations (no annual deals, only M2M) Remember: Pricing is an iterative exercise. We will watch the impact of our initial assumptions and recalibrate.

After selling iContact for $169M and coaching hundreds of SaaS founders, I've seen what separates 3X exits from 10X exits... It's not just your product. It's your go-to-market system. Here’s how the top B2B mid-market and enterprise founders do it 👇 1️⃣ Build a comprehensive ABM list of your entire ICP This used to cost $50K just to get started. Today it's $600-$2000 for 100,000 leads within your ICP. Most B2B SaaS companies have a TAM of 5,000-100,000 companies, translating to 25,000-500,000 decision-makers. Use Apollo, Clay, Instantly, or ListKit to build this database. It's the foundation everything else builds upon. 2️⃣ Deploy AI-personalized outbound at scale Generic "would you like a demo?" emails are dead. Use Instantly or Clay + ChatGPT to create hyper-personalized messages at scale. Not the same message to 30,000 people, but 30,000 unique messages tailored to each recipient. The response rates are 3X higher when you personalize based on their LinkedIn profile, company, and recent news. 3️⃣ Make your brand omnipresent with targeted ads Take that same ABM list and upload it as matched audiences on LinkedIn, Meta, and Google. Follow this: retargeting (low cost, high performance) → matched audience ads → lookalikes. The same people getting your outbound messages will see your ads everywhere online. 4️⃣ Don’t wait for inbound SEO-driven inbound still works, but it’s no longer enough. Organic traffic is down. HubSpot’s own traffic dropped 65% in 6 months. - You can’t wait for buyers to find you. - You must reach them first. Hence, matched audience ads + AI outbound is how modern SaaS companies are filling their funnel. 5️⃣ Break the sales + marketing silos Most founders hire sales. Then hire marketing. And then struggle. The companies that win treat this as a unified revenue engine: • Marketing → omnipresence • Sales → closing • Success → expansion All aligned to one thing: revenue growth. 6️⃣ Track the metrics that actually matter for valuation Every $1 you spend should drive a measurable return. Key metrics to track: • CAC • Cost per qualified lead • LTV:CAC ratio (aim for 6-8:1) • Payback window (6-9 months if bootstrapped) • NRR (110% annually+ for mid-market/enterprise) Each month: cut what’s underperforming, and scale what works. The impact on your exit is massive. One SaaS company we worked with: 5M → 11M ARR in 12 months. Growth rate went from 30% to 60% annually. Instead of a 3X multiple ($15M exit), they're now positioned for 7- 8X ($70-80M exit). Same product. Different GTM system. Don’t leave money on the table because of this. Build it now. Exit on your terms. ------- That’s exactly what we help SaaS founders do inside SaasRise (Link in comments if you want to learn more).

93% 𝗼𝗳 𝗦𝗮𝗮𝗦 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗳𝗮𝗶𝗹 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 $1𝗠 𝗶𝗻 𝗔𝗥𝗥 : 𝗪𝗵𝘆? Many founders think they must work harder or invest more in marketing. In reality, founder-led sales are significant in why many startups hit a revenue ceiling. 🚨 Founders typically spend about 40% of their time on sales tasks, which would be more effective if redirected toward strategy and innovation. And what is the impact of not hiring sales leadership early enough? It’s staggering: - $1M+ in lost revenue potential annually due to missed opportunities. SaaS companies that hire their first CRO or Head of Sales by $500K ARR see 2x revenue growth within 18 months. Every 6-month delay in hiring leadership costs the average SaaS startup 20-30% in scaling momentum. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗛𝗮𝗽𝗽𝗲𝗻𝘀 - 𝗕𝘂𝗿𝗻𝗼𝘂𝘁 𝗮𝗻𝗱 𝗕𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀: Founders who try to do everything eventually burn out or become a team bottleneck. - 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗣𝗹𝗮𝘁𝗲𝗮𝘂𝘀: 𝗔𝗥𝗥 𝗴𝗿𝗼𝘄𝘁𝗵 𝗼𝗳𝘁𝗲𝗻 𝘀𝘁𝗮𝗹𝗹𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 $700𝗞-$1𝗠 𝗺𝗮𝗿𝗸 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝘀𝗮𝗹𝗲𝘀 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸. - 𝗠𝗶𝘀𝘀𝗲𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀: Lack of leadership means no one’s focused on optimizing the sales funnel or driving predictable revenue. I’ve seen it happen countless times. A SaaS founder pours their energy into sales, hits $1M ARR, and realizes they can’t scale further without help. If you’re stuck in founder-led sales, here’s a 3-step framework to scale smarter: - Hire a Fractional CRO: Timeline: Within the next 3 months. Build a scalable sales engine and free up 20+ hours of your week. 25% increase in qualified leads within 6 months. - Structure Your Sales Process: Timeline: Start immediately. Implement a repeatable, scalable playbook for lead generation, qualification, and closing. Reduce sales cycle length by 30%. - Set Revenue Benchmarks: Timeline: Quarterly. Establish ARR targets (e.g., $1.5M in 12 months, $3M in 24 months). Achieve 20% month-over-month revenue growth consistently. One SaaS founder in cybersecurity I worked with was stuck at $800K ARR, spending 60 hours a week juggling product and sales. We helped scale to $2.4M ARR in 18 months as a #Fractional The turning point was implementing a strategic sales process that doubled their qualified leads in 6 months and shortened their sales cycle by 40%. - Founder-led sales are a short-term solution but a long-term trap. - Hire sales leadership by $500K ARR to avoid plateaus. - Dont overspend, be frugal, and hire a #Fractional - Focus on building a repeatable, scalable sales process early. Scaling smarter isn’t about doing more; it’s about doing the right things with the right team. What’s stopping your SaaS startup from breaking through the $1M ARR barrier? Roarr Consulting Group (RCG) & Mahesh Iyer #SaaS #ScalingSaaS #FractionalLeadership #StartupGrowth #Sales #marketing #technology #innovation #futureis

All SaaS firms spend on Google Search Ads. Specifically they spend on competitor keyword Ads.  Eg : Freshworks would run Ads on Zendesk Alternatives and Pricing. Chargebee will run Ads on Zuora pricing/competitors etc. Early stage startups also spend signigicant $$'s on search Ads. Importantly these keywords are also the source of maximum leads and pipeline for companies. Signups and Leads from competitor search keywords also convert faster, tend to be high ACV as well. When we had started running Ads we used to run Ads against our attribution competitors like Bizible. The math is, if you get 100 clicks , only 4-5 leads come in. The CPC’s for competitor keywords are $10+ and , spending $1000 for 4-5 leads or $200 per lead is the general metric most SaaS marketing teams are resigned to. 💡 The interesting part is nobody randomly searches for a competitor keyword, and clicks on the Ad and come to your website. Only a high intent prospect will search for a competitor keyword and click on the Ad copy and visit your Ad landing page/pricing page. Eg : If someone searches for Bizible Pricing and comes to Factors.AI website it is a high intent user. Yet, for every $1000 spent or 100 clicks we pay for, we get only 4-5 leads. Harvesting more leads from the remaining high intent 96 clicks coming to the website can be a huge revenue driver. The point was, how do we do it ? We knew about deanonymization tools like Clearbit. The issue with plain vanilla visitor identification products are they identify visitors but not all visitors need to be high intent and ICP. Users might visit the website & bounce off immediately. Identifying low intent or non-ICP accounts is of no use. Deanonymization of website visitors + Slack or CRM would be plain noise and we burnt our fingers with some tools. This is when we found mix of visitor identification data with account analytics can be a great feature. With Factors.AI analytics + Account Deanonymization, you can build cohorts with specific filters to narrow down to ICP based on city, country, firmographics/technographics and intent based on website behavior and most importantly, to the level of which keyword the user searched and clicked on, when visiting the site. Since we also connected with the CRM, we were able to filter for Accounts which are existing customer or leads or identify Accounts which coming back live after being tagged closed lost. We identify high intent ICP accounts coming to our website from competitor keyword Ads, cohort them with our analytics product & immediately alert SDRs on Slack and also run 6 hour workflows to push this data to Apollo.io for enrichment and start a sequence. Result : On a daily basis, apart from 5 direct search based signups, we are able to generate 3 more demos. Simple tweak of adding Analytics & Workflows to Account Identification, gave us 60% more leads from Google Search Ads.