Your buyer must trust the product before they'll allow it anywhere near production. We build the instrumentation, onboarding experiences, and experimentation infrastructure that bring a cybersecurity product to its first proof point quickly, without requiring a prospect to approve risky access on day one.
The Challenge
Your product creates the same installation friction it's meant to prevent
A security tool asking for API keys, agent installs, or network access sets off the same IT and security review process it's meant to replace, before a prospect has seen any value. Most growth teams borrow onboarding patterns from horizontal SaaS and never account for this, so the funnel dies at the step that should build trust.
No instrumentation at the moment that truly demonstrates value
For a scanner, the moment that matters is the first vulnerability detected. For a detection product, it's the first real alert triaged correctly. Most teams track signups and logins but never wire up event tracking on that in-console moment, so there's no way to see where prospects stall between install and first result.
Self-serve trials are designed for buyers, not the engineers who actually assess the product
Security products are bought by CISOs but evaluated hands-on by security engineers and SOC analysts who want a CLI or an API, not a guided web tour. When the only onboarding path is a marketing-built wizard, technical evaluators bounce and word never reaches the economic buyer.
Compliance review stops the experimentation loop before it can begin
Adding a new analytics pixel, a heatmap script, or a third-party growth tool to a security product's own web app routinely trips the same security review the company sells against. Growth teams that don't plan for this end up stuck running one experiment a quarter instead of one a week, and the whole growth motion stalls waiting on a review queue.
How We Can Help
We begin by auditing the real evaluation path, not the marketing-site funnel: everything a security engineer must do between sign-up and seeing an actual result, whether that means installing an agent, connecting a cloud account, or launching a CLI scan. We measure every step, identify each approval gate, and determine where drop-off really occurs compared with where the team believes it occurs.
Next, we create an activation event map tailored to the product. For a scanning or posture-management tool, that's time-to-first-finding. For an EDR or detection product, it's time-to-first-correctly-triaged-alert. For an API security or AppSec tool, it's time-to-first-scan-result within a CI pipeline. We connect these events to an analytics stack the security team will actually approve, often using self-hosted or first-party tracking rather than a third-party pixel that triggers their own compliance review.
For the trial, we design routes that allow prospects to see genuine output without needing production access or a security exception on day one: a sandboxed environment loaded with realistic findings, a read-only scanning mode, or a scoped API key limited to one non-production resource. The objective is a real result within 15 minutes, without requiring a ticket to their security team.
We also create a separate onboarding path for technical evaluators: a documented CLI workflow or API-first quickstart that a security engineer can run without using the web console. This is frequently the build with the greatest payoff, because engineers run the eval, and every minute spent wrestling with a GUI is time not spent evaluating the product.
For experimentation, we engage the security and compliance team upfront to establish a pre-approved set of tools and script patterns, preventing tests from being shut down mid-quarter by a review. We run experiments through this approved channel and maintain a rolling backlog so the team always has tested ideas ready.
Measurement connects to pipeline rather than vanity metrics: trial-to-scoped-access conversion, time-to-first-finding, and the ratio between technical-evaluator activation and economic-buyer engagement.
What we deliver
- Activation event map instrumented inside the product console, tied to the specific proof-of-value moment for that product category
- Low-friction trial or sandbox flow that produces a real result without requiring production access or a security exception
- CLI or API-first onboarding path built for technical evaluators, documented and versioned alongside the product docs
- Pre-approved experimentation pipeline that clears compliance review once, then runs weekly without re-review
- Conversion dashboard tracking time-to-first-finding, trial-to-scoped-access, and technical-evaluator-to-buyer handoff
If your trial demands the same security review that your product is intended to replace, you've created a funnel that makes the case against itself.
Our Methodology
We deliver 90-day sprints across three phases. Days 1-30 focus on assessment and instrumentation: we document the actual evaluation path, interview recent trial users (technical evaluators and economic buyers), and wire activation events into analytics that the security team has already approved. By day 30, you'll have a live dashboard revealing where the funnel truly breaks, rather than where you thought it broke.
Days 31-60 focus on building and shipping: we create the low-friction trial path, the CLI/API onboarding flow, and the pre-approved experimentation pipeline, then release them to real traffic. We don't deliver a spec and wait; we work alongside your product and growth engineers so everything ships within your existing stack rather than remaining in a separate prototype that no one maintains.
Days 61-90 cover experimentation and handoff. Once instrumentation is live and a pre-cleared testing channel is established, we run weekly experiments against the activation and conversion metrics that matter, while training your team to maintain that cadence after our departure. Unlike a traditional retainer agency, we don't bill hours for writing recommendations; we're embedded engineers who ship code that lasts beyond the engagement.
Our Approach
Engagements follow the 30/60/90-day phases outlined above, though we can scope the first 30 days as a standalone assessment if you'd prefer to review the audit before committing to the complete build. Most cybersecurity clients move forward with the full 90 days after seeing how much funnel loss had remained hidden before instrumentation was implemented.
The team is intentionally lean: one growth engineer embedded with your product and marketing teams, supported by a lead who coordinates the compliance and security reviews specific to this vertical. We avoid staffing a large account team because this is technical build work, not campaign management.
The cadence includes a weekly working session with your product and growth leads, along with async updates as instrumentation and experiments launch. We operate within your current tools, ensuring nothing we deliver relies on a tool you'll need to maintain after we leave.
In month one, expect not a completed funnel, but a clear, instrumented view of where technical evaluators and economic buyers actually drop off, plus a prioritized build list driven by that data instead of assumptions.
- Faster time-to-first-finding for trial users, measured from signup to the first real, product-specific proof point
- Higher completion rate on technical evaluations, because engineers get a CLI or API path instead of a web-only wizard
- Reduced trial abandonment tied to security-review friction, from sandboxed or scoped-access trial paths
- A repeatable, pre-approved experimentation cadence that survives compliance review instead of restarting every quarter
If your cybersecurity company needs growth engineering leadership, we should talk.
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Frequently asked questions
How does growth engineering differ from what our current marketing team already handles?
Marketing manages top-of-funnel content and paid acquisition. Growth engineering covers the instrumentation and product-adjacent development that begins after someone reaches your trial: activation tracking within your console, CLI onboarding workflows, and experimentation infrastructure. It calls for someone who can code and operate inside your product, rather than only managing campaigns.
Will you require access to our production environment or codebase?
We require read access to your product analytics and sufficient visibility into the trial and onboarding journey to instrument it, along with a working partnership with an engineer who can ship what we design. We do not need production access to your customers' environments – only access to your own trial and onboarding surfaces.
How do you manage security review for new tracking tools without delaying the engagement?
We prioritize this during the first two weeks with the person responsible for security and compliance review at your company: establish a concise list of pre-approved tools, then shape the instrumentation and experimentation pipeline around what has already been cleared. This prevents the common scenario where a growth initiative sits idle for a month awaiting an exception.
How is the engagement priced and structured?
Engagements are structured as 90-day sprints, generally priced at $18K-$35K/month based on team size and whether the instrumentation and onboarding build is mostly greenfield or incremental. We provide an exact figure following the initial assessment call, because the build effort varies significantly depending on the maturity of your current analytics stack.
How do you evaluate ROI for this type of engagement?
We measure leading indicators connected to pipeline rather than vanity metrics: time-to-first-finding, trial-to-scoped-access conversion, and the rate at which technical evaluators pass a deal to an economic buyer. Once instrumentation is live, we report these weekly, allowing you to see progress well before it appears in closed revenue.
Does this work for a pre-PLG company that's still entirely sales-led?
Yes, provided you want to introduce a self-serve or trial motion alongside sales-led deals. That's common in cybersecurity, where technical evaluators want hands-on product experience before a sales conversation can progress. If you have no intention of offering any self-serve motion, this engagement isn't a suitable fit.
How will your team work with our current product and engineering organization?
For the duration of the sprint, we operate as an embedded extension of your product and growth teams – not as an external vendor passing deliverables over the wall. Our engineer attends your standups and ships code using your standard review process, making the work maintainable by your team once we leave.
What company size or growth stage is the best fit?
The ideal fit is Series A through growth-stage cybersecurity companies with roughly $5M-$100M ARR, where the product is mature enough to support a genuine trial or evaluation flow but the team has not yet developed dedicated growth engineering capability internally. Earlier-stage companies without a stable product will gain more from product-market-fit work first.
