
WeSoftYou
Rebuilt inbound from scratch — 100% YoY SQL growth, 207% more traffic, domain rating from 12 to 45, and 141 articles shipped.
- 100% YoY SQL growth
- 207% traffic increase
Bidding head-to-head on "software development company" is a fight you lose to global firms spending seven figures a year — and the clicks you do win arrive cold, from a market that thinks every dev shop is interchangeable. We run paid social (LinkedIn, Meta) and paid search as one engineered system: precise targeting of the technical and economic buyers on a development buying committee, creative that survives a CTO reading it, and risk-led offers that earn a burned buyer's attention. Built on paid acquisition for 60+ B2B tech companies and measured in accepted SQLs and CRM-tracked revenue, not impressions.
We start with your economics — project size and ACV, engagement models, the six-to-nine-month cycle, who sits on the buying committee, and what your delivery team accepts as a qualified lead — then audit any existing account for the classic dev-shop leaks: budget on head terms you cannot win, missing negatives, look-alike creative, 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 in custom software and outsourcing. That tells us fast whether the constraint is auction strategy, targeting, creative, or offer — 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 dev-shop deals close.
We commit to the channel mix and offers most likely to produce accepted, in-ICP opportunities first — usually LinkedIn precision plus a disciplined high-intent search account, with Meta retargeting layered on — and deliberately skip a thin presence everywhere. Often the fastest win is abandoning the head-term auction and reallocating that budget to vertical-specific LinkedIn audiences.
We build paid as one engineered system — search and social accounts, audiences and negatives, risk-led offers, creative that survives a technical reader, landing experiences that do not read like boilerplate, and CRM-grade conversion tracking — 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 the people taking the calls: which campaigns became scoped projects, which produced tire-kickers, and why. We cut the noise, double down on what produces real project conversations, refine creative and offers, and keep growing the negative lists. The account compounds because it is optimized against signed development work across the full cycle — not the platform's cost-per-click.
We have run paid for 60+ B2B tech companies and spent 9+ years marketing custom software, IT outsourcing, and product studios — so we do not guess what a dev-shop buyer clicks. We know bidding head-to-head on 'software development company' burns budget, that the money is in narrow high-intent terms and vertical LinkedIn audiences, and that a risk-led ad out-pulls 'we build scalable software.' For Split Development we ran Shopify-developer ads at a $38 cost-per-lead, a 34% lead-to-meeting rate, and three won deals; for Intelvision a paid funnel turned 257 leads into $240K at 28.9x ROAS.
Before scaling spend we name why a dev-shop account underperforms, against this category's specific failure points: budget bleeding into the unwinnable auction, targeting pulling non-buyers, 'senior engineers, agile delivery' creative no CTO reads, or a look-alike landing page. Most agencies discover the leak after a quarter of rising cost-per-lead. 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 dev shop. Search captures buyers with a live initiative already comparing vendors — but only on narrow, qualified terms ('fintech software development partner,' 'react native development agency'), never the head terms global firms own. LinkedIn is usually the workhorse: it targets exact buying-committee roles — VP of Engineering, Head of Product, a non-technical founder — by vertical and engagement model. Meta earns its place for retargeting the long research window. We weight the mix to your ICP and deal size, and say so when a channel you like is wrong for a dev-shop budget.
The people who know whether a paid lead was real are your delivery leads, architects, and founder — not the ad platform. So each cycle we sit with them: which campaigns produced scoped projects, which produced RFP tourists or sub-minimum budgets, which 'fit' clicks had no authority to sign, and what the leads that became signed projects shared. That feeds straight back into targeting, bids, creative, and negative lists. The account sharpens on which clicks became billable work, not on the cost-per-click the platform optimizes toward by default.
Every euro is tracked in your CRM from ad click to booked meeting to accepted SQL to signed project and revenue — which matters more for a dev shop than almost any category, because the cycle runs six to nine months across a technical lead, a VP, and a CFO. Paid's influence is real but easy to lose in that gap, and that gap is when budgets get cut. We instrument the full path so you can show cost-per-accepted-SQL and revenue by campaign and vertical, and stand inside the $30M+ in CRM-tracked, marketing-led revenue we have generated for B2B tech — not a cost-per-click that says nothing about whether a project 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.
We stop fighting the auction you cannot win. The broad head terms are owned by global firms spending more in a month than you spend in a year, so bidding there drains margin or buys the least-qualified clicks. Instead we go narrower and sideways: high-intent, vertical-specific terms those firms underbid ('fintech software development partner,' a specific platform implementation), aggressive negative lists to strip out students, jobs, and tutorials, and — usually the bigger lever — LinkedIn targeting the exact buying-committee roles for your vertical, where your differentiation lands and a giant's budget advantage does not. You win by being precise, not by outspending.
Usually both, weighted to your buyer. Search captures people already comparing vendors — high intent, but a small, expensive slice, and only worth it on terms global firms do not dominate. Paid social, mainly LinkedIn, is the precision layer: it reaches specific buying-committee titles (VP of Engineering, Head of Product, a non-technical founder) by vertical, company size, and engagement model — exactly how a six-figure build gets shortlisted — and reaches buyers before they search. Meta earns its place for retargeting the long research window and proof-led creative. We weight the mix to your ICP and deal size rather than defaulting to one channel.
That is exactly why most dev-shop paid programs fail — standard 'we build scalable solutions, senior engineers, agile delivery' creative is invisible to a technical buyer. We build around the risk your buyer already feels — bait-and-switch of seniors for juniors, the fixed-price project that ran 3x over, communication breaking down across time zones — and lead with proof: named-client outcomes, domain-specific evidence, a specific point of view. The offer is risk-led too — a fixed-scope architecture review, a build-vs-buy teardown, a delivery-risk audit — so a wary buyer can test you on something concrete. The bar: a CTO reads it and thinks 'these people understand the problem,' not 'this is an outsourcing pitch.'
Yes, but not the way a typical agency runs it. There is no self-serve signup and no demo, the conversion event is a scoping conversation, and a six-figure build is researched over weeks and approved by a committee — so optimizing to a cheap first click is exactly wrong. We optimize the whole path: paid creates and captures attention from the right accounts, a risk-led offer earns a low-commitment first step, and CRM tracking follows that account through meeting, accepted SQL, and signed project across the full cycle. Paid is one engineered layer feeding qualified pipeline, which is why we measure it in CRM-tracked revenue, not form-fills.
We instrument the full path in your CRM — ad click, lead, meeting, accepted SQL, scoped opportunity, signed project, revenue — attributable by campaign, channel, audience, and vertical. This matters more for a dev shop than almost any category, because over a long cycle touching a technical lead, a VP, and a CFO, paid's influence is easy to lose, and that gap is when budgets get cut. We deliberately ignore the platform's inflated conversion claims and report against the CRM, so you can show cost-per-accepted-SQL and revenue by campaign. That discipline is how we stand behind $30M+ in CRM-tracked, marketing-led revenue across 60+ B2B tech companies.
Lead quality is an optimization-target problem, not a volume problem. Most accounts are tuned to cost-per-lead, so the platform faithfully delivers the cheapest, least-qualified clicks — for custom development, price-shoppers and free-advice seekers. We re-point the system at fit: narrower targeting and vertical-specific audiences, negative lists that exclude jobs, tutorials, and sub-budget searches, offers that do not appeal to someone wanting a free app idea costed, and qualification before a lead reaches a senior person. Then each cycle we review with your delivery team which leads became real projects and feed that back into bids and audiences. The point is to protect your most billable people.
For Split Development we ran Shopify-developer ads that generated 66 leads at a $38 cost-per-lead with a 34% lead-to-meeting rate and won three deals. For Intelvision, a B2B tech client, our paid funnel turned 257 leads and 100 booked meetings into $240K in revenue at 28.9x return on ad spend, engineered into a flagship enterprise deal. Your numbers depend on project size, vertical, and cycle, but the method is the same across our 60+ B2B tech clients: optimize to accepted SQLs, qualify out the tire-kickers, win the auction sideways, and track every lead to a signed project.
Setup — ICP and disqualifiers, account build, creative, offers, landing experiences, and CRM tracking — 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. Paid is the fastest lever to turn on, but it works best as one layer: paid buys in-market reach now while SEO and AI-search optimization build the lower-cost organic demand that compounds underneath it, and a strong case-study layer converts the clicks. For most custom software companies the highest return comes from running paid against that backdrop, not as an isolated always-on 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.