
DBB Software
Built the marketing function from zero — website, SEO, paid, AI search — from 166 to 2,513 monthly clicks and 3 enterprise deals won.
- 28 SQLs from zero
- 3 deals won
Your product is adopted from the bottom up by a practitioner who is allergic to advertising — so paid that optimizes to cheap clicks just buys you more trial users who never convert. We run paid social (LinkedIn, Meta) and paid search as one engineered system aimed where it actually moves revenue: the platform leader, VP of Engineering, and CFO who approve the enterprise tier but never read your docs, reached with creative that speaks MTTR, pipeline minutes, and cloud spend instead of "revolutionary platform." Built on paid acquisition for 60+ B2B tech companies and measured in accepted SQLs and CRM-tracked revenue, not signups.
We start with your economics — price point and ACV, the open-core or free-trial motion, the free-vs-paid boundary, who sits on the buying committee, and what your AEs accept as a qualified lead — then audit any existing account for the classic DevOps leaks: budget tuned to free signups, head-term bidding you cannot win against the giants, "revolutionary platform" creative, campaigns that never reach the budget holder, weak tracking. If paid is not the right first lever for your stage, we say so.
We hold what we find against patterns from 60+ B2B tech companies and 9+ years marketing to technical and executive buyers. That tells us fast whether the constraint is the optimization target (signups vs paid pipeline), auction strategy, targeting, or creative that fails the engineer filter — and what a realistic cost-per-accepted-SQL looks like for your deal — so the plan is benchmarked against paid programs that produced tracked revenue, not platform best-practice that ignores how DevOps deals actually close.
We commit to the channel mix and offers most likely to produce accepted, in-ICP enterprise opportunities first — usually LinkedIn precision against the economic buyer plus a disciplined high-intent search account on integration and comparison terms, with Meta retargeting layered on — and deliberately skip a thin presence everywhere. Often the fastest win is abandoning the head-term auction and the cost-per-signup target, and reallocating that budget to reach the budget holder the docs never touch.
We build paid as one engineered system — search and social accounts, audiences and negatives, outcome-led offers, creative that survives an SRE reading it and a CFO evaluating it, landing experiences that put technical proof up front, and CRM-grade conversion tracking that separates free adoption from paid pipeline — so every lead is attributable and bids optimize to accepted SQLs. Then we launch and spend against cost-per-accepted-SQL with a testing plan running underneath.
Each cycle we combine CRM attribution with feedback from your AEs: which campaigns became enterprise-tier conversations, which produced free-tier tourists with no budget, and why. We cut the noise, double down on what produces real paid pipeline, refine creative and offers, and keep growing the negative lists. The account compounds because it is optimized against closed-won enterprise revenue across the full cycle — not the signups or cost-per-click the platform rewards by default.
We have run paid for 60+ B2B tech companies and spent 9+ years marketing to technical and executive buyers — so we do not guess what moves a DevOps deal. We know a signup is not a sale in an open-core motion, that bidding head-to-head on "CI/CD" or "Kubernetes" against category giants burns budget, and that the real paid job is reaching the economic buyer the docs never touch. For DBB Software we built paid pipeline from a standing start to 28 SQLs and 3 closed deals in a single year; across the portfolio that discipline sits inside $30M+ in CRM-tracked, marketing-led revenue.
Before scaling spend we name why a DevOps account underperforms, against this category's specific failure points: budget tuned to free signups instead of paid-tier pipeline, head-term bidding you cannot win against the giants, "ship 10x faster" creative an SRE scrolls past, or campaigns that only ever reach the practitioner and never the budget holder. Most agencies discover the leak after a quarter of rising cost-per-signup that never converts. We usually find it in the first weeks — and we will tell you if paid is the wrong first lever for your stage rather than bill you to scale a leak.
Paid search and paid social do different jobs for a DevOps company. Search is worth it only on narrow, qualified terms the giants underbid — integration intent ("<your category> for GitHub Actions," "Terraform-native <X>"), comparison and alternatives, self-hosted, and pricing — never the head terms category leaders own. LinkedIn is usually the workhorse and the only dependable way to reach the economic buyer: it targets the exact roles that sign — VP of Engineering, head of platform, director of SRE, a CFO at the right company size — who never search your category. Meta earns its place for retargeting the long, multi-session evaluation. We weight the mix to your ICP and price point, and say so when a channel you like is wrong for a DevOps budget.
The people who know whether a paid lead was real are your AEs and founder — not the ad platform, and especially not your signup counter. So each cycle we sit with them: which campaigns produced enterprise conversations versus free-tier tourists, which leads had budget authority versus a curious engineer with none, which accounts were already adopting bottom-up, and what the deals that closed shared. That feeds straight back into targeting, bids, creative, and negative lists. The account sharpens on which clicks became paid-tier pipeline, not on the cost-per-signup the platform optimizes toward by default.
Every dollar is tracked in your CRM from ad click to meeting to accepted SQL to closed-won — and crucially, we separate free adoption from commercial pipeline so paid is judged on revenue, not signups. This matters more for DevOps than almost any category, because a deal can begin with an anonymous container pull months before a contract and stall in procurement, security, and finance, and paid's influence is easy to lose in that gap — which is exactly when budgets get cut. We instrument the full path so you can show cost-per-accepted-SQL and revenue by campaign and segment, and stand inside the $30M+ in CRM-tracked, marketing-led revenue we have generated for B2B tech — not a cost-per-signup that says nothing about whether the enterprise tier closed.
Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.
Thanks to XQL Group's efforts, we've seen a 207% increase in web traffic and an improvement in domain rating from 12 to 45. The team has successfully optimized our SEO strategy and gained around 160 backlinks. Overall, they're responsive and thorough in their project management.
Since working with XQL Group, our domain rating has improved from 27 to 44. In addition, we've seen a 15% increase in monthly traffic within nine months. The team completes work on time and within the agreed budget. Moreover, their subject matter expertise is highly impressive.
XQL Group's efforts have resulted in 44 leads from paid campaigns and improved web traffic from Germany by 5x. The team is responsive, quickly surfaces issues, and communicates regularly through chats and virtual meetings. Their expertise and proactiveness have impressed our team.
Organic traffic has increased by 10–15% each month, and we have started receiving our first inbound requests. XQL Group's optimization tips have also helped improve keyword rankings, and internal stakeholders are impressed with the team's collaborative approach.
XQL Group has successfully defined a clear marketing strategy and established our company's unique value proposition. The team has also helped hire critical specialists for our marketing team. They are communicative and organized, and their expertise in the tech industry is impressive.
Thanks to XQL Group's efforts, we have defined our marketing strategy and hired key developers for our website. The team has launched retargeting campaigns on LinkedIn and developed a strong content marketing strategy. XQL Group's marketing expertise is a hallmark of the engagement.
They were not just talking about AI search in theory; they knew how to approach it practically.
What impressed us most was their deep specialization in working with software development companies.
They've brought structure, strong execution, and constant initiative to improve outcomes.
They operated with the discipline and initiative of an internal senior marketer.
Their ability to combine strategic vision with hands-on execution was particularly valuable.
Their focus on results and true interest in making things work set them apart.
XQL Group's project management was exemplary.
The quality of their work is consistently high.
Yes — but not the way a typical agency runs it, and not aimed where you might expect. You are right that the practitioner adopting you is hostile to advertising; "revolutionary platform, ship 10x faster" creative actively costs you credibility with an SRE. So we mostly do not target that person with conversion ads — bottom-up adoption is earned with docs, content, and community, not paid. Paid's real job in DevOps is reaching the economic buyer the docs never touch: the VP of Engineering, head of platform, or CFO who approves the enterprise contract, never runs the product, and rarely searches your category. We reach them on LinkedIn by exact role and on retargeting through the long evaluation, with proof-led creative framed in outcomes they defend budgets with. Paid complements your bottom-up motion rather than fighting it.
It will if the account is tuned to cost-per-signup — which is exactly the default failure mode, and the most common one in open-core DevOps. The platform faithfully buys the cheapest adopters of your free product, the dashboard shows growing signups, and none of it reaches the paid tier where SSO, RBAC, audit logs, and SLAs actually justify a budget line. We re-point the system at paid-tier pipeline: target content and campaigns at the teams and segments most likely to need the enterprise features, optimize to accepted SQLs instead of signups, and instrument the CRM to separate community adoption from commercial pipeline so you can see precisely where the funnel leaks. The goal is to monetize the adoption you already have, not to inflate a signup count that never converts.
We stop fighting the auction you cannot win. The broad head terms are owned by category leaders and well-funded giants who outbid a focused DevOps company many times over, so bidding there drains margin or buys the least-qualified clicks. Instead we go narrower and sideways: integration intent the giants underbid ("<your category> for GitHub Actions," "Terraform-native <X>," "<X> on EKS"), comparison and alternatives terms, self-hosted, and pricing — backed by negative lists that strip out students, bootcamps, tutorials, and "what is DevOps" traffic. And — usually the bigger lever — we use LinkedIn to reach the exact buying-committee roles by company size and stack, where your differentiation lands and a giant's budget advantage does not. You win by being precise and reaching the buyer who signs, not by outspending.
This split is the structural reason paid is valuable in DevOps. The SRE or platform engineer who loves the tool has no budget; the VP of Engineering, head of platform, or CFO who signs has never run the product and asks a different question — total cost of ownership, consolidation, toil and headcount saved, risk reduced. That economic buyer rarely reads your docs and rarely searches your category, so your organic, bottom-up motion structurally cannot reach them. Paid can. We use LinkedIn to target those exact titles by company size, stack, and segment, and retargeting to stay present through a long evaluation, with creative that translates your product into the operational and financial outcomes that buyer defends budgets with. Paid is often the only dependable way to get in front of the person who turns adoption into a contract.
We build for both ends of the deal without losing either. For the technical audience, the bar is creative that survives a principal engineer reading it — no "revolutionary platform" or "ship 10x faster," but DORA metrics, MTTR, deployment frequency, pipeline minutes, incident volume, cloud-spend reduction, and integration proof for the buyer's actual stack (Kubernetes, Terraform, their CI runners, their cloud). For the economic buyer, the same outcomes are framed as a business case: total cost of ownership, consolidation, risk reduced, headcount saved. The offer is outcome-led too — a fixed-scope ROI or migration assessment, a benchmark, a build-vs-buy teardown — so a skeptical buyer can test you on something concrete. The point is to be credible to the engineer who validates you and legible to the executive who funds you.
We instrument the full path in your CRM — ad click, signup, product usage, meeting, accepted SQL, closed-won — and we deliberately separate free adoption from commercial pipeline so paid is never credited for signups that do not monetize. This matters more for DevOps than almost any category, because a deal can begin with an anonymous container pull months before a contract and then crawl through a champion, a platform lead, security, and finance — and over that gap paid's influence is easy to lose, which is exactly when budgets get cut. We report against the CRM, not the platform's signup or conversion claims, so you can show cost-per-accepted-SQL and revenue by campaign and segment. That discipline is how we built DBB Software's pipeline from zero to 28 SQLs and 3 closed deals, and how we stand behind $30M+ in CRM-tracked, marketing-led revenue across 60+ B2B tech companies.
For DBB Software we built a paid-led growth engine from a standing start that produced 28 SQLs and 3 closed deals in a single year — marketing built from zero, tracked to revenue in the CRM. Setup for a DevOps account — ICP and the free-vs-paid boundary, account build, engineer-credible creative, outcome-led offers, landing experiences, and CRM tracking that separates adoption from pipeline — takes a few weeks, and the first qualified leads come soon after launch, but the value compounds as we feed acceptance data back into bids, audiences, and creative. Your numbers depend on price point, segment, and cycle, but the method is the same across our 60+ B2B tech clients: optimize to accepted SQLs, reach the buyer who signs, win the auction sideways, and track every lead to closed-won.
Paid is the fastest lever to turn on, but it works best as one layer in a system. Paid buys in-market reach now and — uniquely — reaches the economic buyer who never reads your docs, while SEO around integration, comparison, alternatives, and operational queries builds the lower-cost organic demand that compounds underneath it, and AI-search optimization gets you cited when an engineer asks an assistant for the category shortlist before any docs page loads. A strong technical proof layer converts the clicks all three send. For most DevOps companies the highest return comes from running paid against that organic backdrop — paid funding the compounding engine while it matures — not as an isolated always-on signup spend a board eventually questions.
Bring your offer, channels, and revenue goals. We'll show you where the biggest growth constraint is and what to build next.
For B2B tech companies selling complex expertise to serious buyers.

I’m Danylo, founder of XQL. For 9+ years I’ve helped B2B tech companies turn technical expertise into pipeline — 60+ clients and $30M+ in CRM-tracked revenue.
30 minutes, no deck. Bring your offer, channels, and revenue goals — I’ll come with a read on where your biggest growth constraint is and what to build next.