Service · Paid Ads for DevOps Companies

Paid ads for DevOps companies that need pipeline from the buyer who signs, not more free signups from engineers who never pay.

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.

B2B tech companies worked with
60+
Years marketing to technical & executive buyers
9+
CRM-tracked marketing-led revenue
$30M+
AI Search recommendation success rate
80%
  1. Define the ICP and the two-sided buying committee — the practitioner who adopts (SRE, platform engineer) and the economic buyer who pays (VP of Engineering, head of platform, CFO) — and the free-vs-paid boundary, so paid optimizes to enterprise-tier pipeline, not free signups.
  2. Build a paid search account that refuses the unwinnable auction: narrow integration, comparison, alternatives, self-hosted, and pricing terms the category giants underbid, aggressive negative lists (students, bootcamps, free tutorials, "what is DevOps" traffic, job seekers), and copy that pre-qualifies for a real evaluation before the click.
  3. Run LinkedIn as the precision layer to reach the economic buyer the docs never touch — targeting exact buying-committee titles by company size, stack, and segment, with conversation and thought-leadership formats built for a skeptical platform leader and CFO.
  4. Run Meta for retargeting the long, multi-session evaluation and for proof-led and engineer-led creative that re-engages warm accounts already adopting bottom-up, far cheaper than chasing cold head-term clicks.
  5. Engineer creative and offers that survive an engineer's fluff filter — framed in DORA metrics, MTTR, deployment frequency, pipeline minutes, incident volume, and cloud-spend reduction, with integration proof for the buyer's actual stack (Kubernetes, Terraform, their CI runners, their cloud) — instead of "revolutionary platform, ship 10x faster."
  6. Wire CRM and conversion tracking across the full path so ad click, signup, product usage, meeting, accepted SQL, and closed-won are attributable by campaign, channel, audience, and segment — with free adoption separated from commercial pipeline so paid is never credited for signups that do not monetize.
  7. Run continuous testing and a structured feedback review each cycle with your AEs, and report cost-per-accepted-SQL, paid-tier pipeline, and revenue influenced in language a founder or board can defend — not signups, stars, or cost-per-click.
How the system works

How the paid-ads system works for a DevOps company

  1. Diagnose the market

    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.

  2. Compare against known B2B tech patterns

    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.

  3. Choose the right growth path

    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.

  4. Build the paid system

    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.

  5. Optimize against CRM + sales feedback

    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.

The XQL difference

Why XQL runs paid ads differently for a DevOps company

  • 01

    Market memory

    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.

  • 02

    Faster diagnosis

    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.

  • 03

    Smarter channel selection

    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.

  • 04

    Sales feedback loop

    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.

  • 05

    CRM attribution

    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.

Why XQL vs alternatives

Why XQL vs the alternatives for a DevOps company

DimensionTypical approachThe XQL way
Performance / paid ads agencyOptimizes to cost-per-signup and cost-per-click, bids into the head-term auction against category giants, and ships "revolutionary platform" creative an SRE scrolls past — then reports cheap signups that never reach the paid tier.Optimizes to cost-per-accepted-SQL defined with your AEs, abandons the unwinnable auction for integration and comparison intent plus precise LinkedIn role-targeting, and separates free adoption from paid pipeline in your CRM.
Generalist marketing agencyRuns the same paid playbook for a DevOps tool, an e-commerce brand, and a clinic, with no read on engineer-hostility, the open-core funnel, the practitioner-vs-economic-buyer split, or DORA-grade proof.Runs paid built for DevOps buyers, with 9+ years and 60+ tech companies of memory on what produces enterprise pipeline versus a free-tier tourist — and creative credible to both an engineer and a CFO.
Freelancer / contractorCan launch campaigns and write ads, but rarely owns the auction strategy against the giants, engineer-credible creative, the AE feedback loop, or CRM attribution that separates signups from revenue across a long cycle.Owns the whole system — search and social, offers, creative, audiences and negatives, sales feedback, and end-to-end CRM tracking — and is accountable to accepted SQLs and closed-won, not signups.
In-house growth / DevRelExcels at community and bottom-up adoption but is built to reach practitioners, not to run paid against the economic buyer who signs — and rarely has a cross-company benchmark for what a DevOps account should cost or convert at.Adds senior paid execution aimed at the budget holder the community never reaches, with DevOps benchmarks — cost-per-accepted-SQL, lead-to-meeting rate — known before spending a dollar.
DIY / boost-the-postBoosts posts and runs broad category keywords on platform autopilot — for a DevOps tool, paying premium prices to reach the widest, least-qualified audience and funding the platform's easiest conversions: free signups.Engineers targeting, negatives, offers, and bids to reach only in-ICP accounts and the buying-committee roles that sign, and proves which spend became CRM-tracked paid-tier pipeline rather than trusting the platform's signup count.
Commercial outcomes

Proof from the same playbook.

Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.

Selected results
  • +1,413%organic traffic growth

    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
  • Senior operators on every account. Never a junior pod.
  • Your case could be next.

    Browse the full set of SEO and paid outcomes we’ve engineered.

    See all case studies
Client signal

What B2B tech founders and CEOs say

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.
Maksym PetrukCEO & Founder, WeSoftYou
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.
Kos ChekanovCEO & Founder, Artkai
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.
Yurii KotulaCEO, Intelvision
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.
Anna SenchenkoMarketing Lead, Synebo
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.
Volodymyr H.COO, DBB Software
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.
Anna RiabushenkoHead of Marketing, Noltic
They were not just talking about AI search in theory; they knew how to approach it practically.
SolarSparkCEO
What impressed us most was their deep specialization in working with software development companies.
Baytech ConsultingPartner
They've brought structure, strong execution, and constant initiative to improve outcomes.
KitrumLead of Marketing
They operated with the discipline and initiative of an internal senior marketer.
ComputoolsCOO
Their ability to combine strategic vision with hands-on execution was particularly valuable.
Hoverla SoftCEO
Their focus on results and true interest in making things work set them apart.
InoxoftContent Manager
XQL Group's project management was exemplary.
EcrivioHead of Operations
The quality of their work is consistently high.
DataPlumbersFounder
FAQ

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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.

Ready when you are

Let's talk.

Bring your offer, channels, and revenue goals. We'll show you where the biggest growth constraint is and what to build next.

Danylo FedirkoFounder

For B2B tech companies selling complex expertise to serious buyers.

B2B tech clients
60+
Revenue generated
$30M+
Danylo Fedirko, Founder of XQL Group
Danylo FedirkoFounder, XQL Group
Let’s talk

Book a call with me.

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.

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