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    Case Studies

    SecPod: How Retargeting the Sales Team Took a Cybersecurity SaaS Company to Positive EBITDA

    September 18, 2026 · Case Study · 6 min read

    SRF Capital Studio

    SecPod's sales team was working hard and winning accounts, yet each new customer cost more than it would ever return. The fix was a targeting decision, and it took a single view of the numbers to see it.

    Summary

    • SecPod, a Bengaluru cybersecurity SaaS company, was adding customers while losing money on each new one: its LTV/CAC ratio had sat below 1.0 for a long time, and nobody could see it because the data lived in separate places.
    • SRF consolidated the revenue data, rebuilt the metrics around ratios rather than standalone numbers, gave sales and leadership a live dashboard, moved the sales team onto large enterprise accounts, and ran a monthly review of plan against actuals.
    • LTV/CAC went back above 1.0, order values rose, client lifetimes lengthened and SecPod moved into positive EBITDA, through better targeting rather than cost cuts.

    The situation

    SecPod builds vulnerability management software from Bengaluru. Its Saner platform helps organisations find and fix security weaknesses across their systems, and it sells to banks, manufacturers and technology companies in India and abroad.

    From the outside, the business looked healthy when it came to SRF Capital Studio. Customers rated the product well, the customer count was rising and the sales team was busy. The trouble was that busy and growing had quietly become two different things.

    Once SRF looked at where the revenue came from, the picture changed. Most of SecPod's income came from customers it already had. The new accounts the sales team was winning, at considerable cost, were mostly small: modest contract sizes, little interest in long commitments, and little to stop them leaving. They filled the pipeline report without building revenue that would last.

    Meanwhile the accounts that could have changed the company's direction were getting second-best attention. Large enterprises, with the scale and internal complexity that lead to multi-year contracts and meaningful contract values, were not the team's focus. The sales effort was pointed the wrong way round.

    The result showed up in one ratio. SecPod's / had been below 1.0 for a long time, meaning each customer cost more to win than it would ever pay back. Nobody had seen it clearly, and that was the deeper problem.

    Each new customer cost more to win than it would ever pay back, and nobody could see it.

    SecPod had no single place where the business could be understood. Revenue data sat in separate sources that had never been joined up. There was no dependable way to tell which customers were most valuable, which segments were growing or shrinking, or how the mix was shifting. Decisions about where to sell and where to invest were being made without the information to make them well.

    What SRF did

    SRF started with the numbers, not with advice. Recommendations built on data nobody trusted would have been guesses.

    One view of the business

    The first job was to pull the scattered data into one structured system. It had to attribute revenue to each customer, track performance by segment, and show the patterns that had been hidden. This was slow, careful work, and everything after it depended on it.

    Metrics that measure relationships

    SecPod had been tracking indicators one at a time: acquisition cost here, revenue there. Standalone numbers like that can each look fine while the business underneath them is losing money. SRF rebuilt the framework around ratios that connect spending to return.

    • Average order value against CAC, so every sales effort could be judged by what it brought in relative to what it cost.
    • LTV against total marketing spend, so marketing investment was tied to the lifetime value it produced.
    • Gross Dollar Retention and Net Dollar Retention, the two SaaS measures of how well a company keeps and expands the revenue it already has, and where early signs of customer risk appear.

    SRF then put these numbers on a visual dashboard that sales and leadership could open at any time, cut three ways: by product, by industry and by how fast each part was growing. It was live, not a quarterly pack. For the first time, SecPod had a shared view of its business, and internal conversations got sharper almost at once.

    The diagnosis: targeting, not execution

    With the data assembled, the answer was clear. SecPod did not have a sales execution problem. The team could sell. It had a targeting problem, and that distinction decided the fix. An execution problem calls for training, incentives or more people. A targeting problem calls for pointing the same people somewhere else.

    Redirecting the sales effort

    SRF redesigned the commercial strategy around high-value enterprise accounts. These were customers whose scale and complexity suit consultative, relationship-heavy selling, which SecPod's team already did well. They reward that investment with long relationships and switching costs that protect revenue over time.

    Smaller accounts were not dropped. They were moved to marketing-led acquisition channels, which can serve that segment far more cheaply and at scale than a field sales team can.

    A monthly review, every month

    The last piece was cadence. Each month SRF and SecPod's leadership met to compare performance with projections, examine variances, test the cash flow and budget models against actual results, and adjust ahead of time.

    The point was not reporting. It was to keep leadership working from current, accurate numbers so that small deviations were corrected before they grew.

    What changed

    No single step produced the result. It came from the business understanding itself better and deciding differently, month after month.

    • Average order value rose as the sales team shifted to larger accounts, because the effort was aimed better, not because anyone worked harder.
    • LTV/CAC moved back above 1.0, restoring the basic logic of paying to acquire customers.
    • Client lifetime lengthened as enterprise relationships, which tend to last longer, became a bigger share of the portfolio.
    • Revenue grew and its mix improved. New and existing business began to pull in the same direction instead of loyal customers subsidising unprofitable acquisition.
    • SecPod moved into positive EBITDA, through a better-informed commercial strategy rather than cost cutting.
    SecPod reached positive by seeing where its effort went and moving it, not by spending less.

    Some of the value is harder to measure. Because the dashboards were live and projections were tested against actuals every month, risks that might have gone unnoticed for a quarter showed up within weeks. Corrections that could have been painful later were made quietly in the normal monthly review.

    What this means for a founder or CFO in the same spot

    SecPod's pattern is common in Indian B2B SaaS: a working product, a busy sales team, a growing logo count, and a business that is getting worse at making money without anyone noticing. If that sounds familiar, these are the questions we would ask first.

    • Can you compute LTV/CAC by segment today? Not blended across the company: by customer size, by industry, by product. If the answer takes a week of spreadsheet work, you have the same visibility problem SecPod had.
    • Where does this year's revenue come from? Split it into existing customers and new ones. If new customers contribute little while acquisition spend keeps rising, look hard at who you are winning.
    • Is your sales team aimed at the right accounts? Field sales is expensive. It pays off on large, complex customers who stay for years. Small accounts are usually better served by marketing-led, lower-touch channels.
    • Do you track retention in dollars? Gross and net dollar retention tell you whether the base is growing on its own. Logo counts can rise while revenue from existing customers leaks.
    • Is anyone comparing plan with actuals every month? A quarterly review finds problems a quarter late. A monthly one catches them while they are still small.

    The lesson we take from this engagement is that a growth problem is often a visibility problem first. Until the numbers are joined up, a team cannot tell a sales issue from a targeting issue, and it will fix the wrong one.

    This is the core of our FP&A work: building the management information that makes these ratios visible, and the review rhythm that acts on them. Where the answer is a change of direction, it becomes strategy work. For more on the discipline, read what FP&A actually is, and on why price and deal size matter as much as volume, our pricing guide for Indian startups.

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