
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
An outsourcing buyer is not picking a vendor when they first see your ad — they are deciding whether to outsource at all, build a captive team, or outstaff, and bracing to compare forty near-identical providers on $/hour. Bid the head terms global firms own and you either burn margin or buy clicks from rate-shoppers and procurement analysts collecting benchmarks. We run paid social (LinkedIn, Meta) and paid search as one engineered system: targeting the operating-model decision and the full buying group — technical lead, economic buyer, and the procurement and vendor-management functions that hold the real veto — with creative that sells risk transfer instead of seniority mix. Built on paid acquisition across 60+ B2B tech companies and measured in accepted SQLs and CRM-tracked revenue, not impressions.
We start with your economics — deal size and ACV, engagement models, target geographies, the 6–12 month procurement-heavy cycle, who sits on the buying group (including vendor management), and what your delivery team accepts as a qualified lead — then audit any existing account for the classic outsourcing leaks: budget on head terms the giants own, missing negatives pulling rate-benchmark and job-seeker traffic, rate-card creative that confirms the body-shop suspicion, weak tracking that loses deals in procurement. 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 outsourcing and outstaffing. 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 and geography — so the plan is benchmarked against paid programs that produced tracked revenue, not platform best-practice that ignores how an outsourcing contract actually clears procurement.
We commit to the channel mix and offers most likely to produce accepted, in-ICP opportunities first — usually LinkedIn precision across the full buying group plus a disciplined operating-model and region-qualified search account, with Meta retargeting layered on for the procurement window — and deliberately skip a thin presence everywhere. Often the fastest win is abandoning the head-term auction entirely and reallocating that budget to region- and vertical-specific LinkedIn audiences the giants cannot crowd you out of.
We build paid as one engineered system — search and social accounts, full-buying-group audiences and negatives, risk-transfer offers, creative that disarms the body-shop objection and addresses geography head-on, landing experiences that do not read like boilerplate, and CRM-grade conversion tracking with procurement and security stages instrumented — 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 sponsor-ready meetings, which produced rate-shoppers or benchmark-hunters, and why. We cut the noise, double down on what produces real contract conversations, refine creative and offers, and keep growing the negative lists. The account compounds because it is optimized against signed outsourcing engagements across the full cycle — through procurement — not the platform's cost-per-click.
We have run paid across 60+ B2B tech companies and spent 9+ years marketing outsourcing, outstaffing, and managed-delivery firms — so we do not guess what an outsourcing buyer clicks. We know bidding head-to-head on "IT outsourcing company" loses to global firms and directories, that the money is in operating-model and region-qualified terms and precise LinkedIn audiences, and that a risk-transfer offer out-pulls "competitive rates and flexible models." We took DBB Software from no marketing function to 28 SQLs and 3 won deals inside a year, and rebuilt WeSoftYou from near-zero inbound into $1.8M of tracked pipeline with 100% year-on-year SQL growth.
Before scaling spend we name why an outsourcing account underperforms, against this category's specific failure points: budget bleeding into the head-term auction the giants own, targeting pulling rate-shoppers and benchmark-collecting procurement analysts instead of operating-model deciders, "senior engineers, flexible models" creative that confirms the body-shop suspicion, or a look-alike landing page indistinguishable from the cheaper firm one row down. 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 an outsourcing firm. Search captures buyers mid-decision — but only on operating-model and region-qualified terms ("staff augmentation vs managed services," "nearshore software team [region]," "how to vet an outsourcing partner"), never the head terms global firms and directories own. LinkedIn is usually the workhorse, and uniquely so here: it targets the entire buying group — the engineering leader, the economic buyer, and the procurement and vendor-management roles that can veto you on paper — by vertical, company size, and geography. Meta earns its place for retargeting the long procurement and security-review window. We weight the mix to your ICP, deal size, and target geography, and say so when a channel you like is wrong for an outsourcing budget.
The people who know whether a paid lead was real are your delivery leads, account directors, and founder — not the ad platform, which cannot tell a CTO with a live build-vs-buy decision from an analyst collecting rate cards. So each cycle we sit with them: which campaigns produced sponsor-ready meetings, which produced rate-shoppers or RFP tourists, which "fit" clicks had no authority to sign, and what the leads that became signed contracts shared. That feeds straight back into targeting, bids, creative, and negative lists. The account sharpens on which clicks became billable engagements, 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 contract and revenue — and, the part that matters most in outsourcing, the procurement and security-review stages get their own tracked statuses, because that is exactly where these deals quietly die weeks after the marketing touch that surfaced them. Over a 6–12 month cycle touching a technical lead, an economic buyer, and a vendor-management function, 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, vertical, and geography, and stand inside the $30M+ in CRM-tracked, marketing-led revenue we have generated for B2B tech.
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 and the listing directories that gatekeep this category, both 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: operating-model and region-qualified terms they overlook ("staff augmentation vs managed services," "nearshore software team in [region]," "how to vet an outsourcing partner"), aggressive negative lists to strip out jobs, salaries, students, and rate-benchmark queries, and — usually the bigger lever — LinkedIn targeting the full buying group for your vertical and geography, where your differentiation lands and a giant's budget advantage does not. You win by being precise, not by outspending.
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 outsourcing, that means rate-shoppers, benchmark-collecting procurement analysts, job-seekers, and sub-scale teams. We re-point the system at fit: narrower targeting by vertical, geography, and the real buying-group roles, negative lists that exclude salary, jobs, tutorial, and rate-comparison searches, offers that do not appeal to someone just gathering a rate card, and qualification before a lead reaches a senior person. Then each cycle we review with your delivery team which leads became real engagements and feed that back into bids and audiences. The point is to protect your most billable people.
Yes, and it is exactly where paid should reach them, because the provider present during the operating-model decision is the one who ends up trusted to deliver it. A typical agency bids the bottom-of-funnel head terms and misses this entirely. We target the decision itself: search on operating-model and region-qualified queries ("in-house vs outsourced development," "staff augmentation vs managed delivery," "how to de-risk an offshore engagement"), and LinkedIn audiences built around leaders mid-way through a build-vs-buy call, with risk-led offers — an engagement-model teardown, a delivery-risk audit — that earn a first conversation before a shortlist has formed without you. That pulls leaders with budget and a live initiative rather than the students and competitors broad "what is IT outsourcing" content attracts.
That is exactly why most outsourcing paid programs fail — standard "senior engineers, flexible models, competitive rates" creative is invisible at best and, at worst, confirms the buyer's suspicion that you are resumes on a markup. We build around the risk your buyer already feels — the senior swapped for a junior, the "dedicated" developer shared across three accounts, the team that churned mid-project — and lead with the proof providers reflexively bury: retention and attrition numbers, replacement and ramp-up guarantees, named-client outcomes in their vertical and region, a clear account of how each engagement model splits accountability. The offer is risk-led too — a delivery-risk audit, an outsource-vs-outstaff-vs-build teardown — so a wary buyer can test you on something concrete. The bar: a buyer reads it and thinks "these people own outcomes," not "another body shop."
We make the location conversation work for you instead of pretending it is not happening. Before a buyer assesses your capability, they have already formed a view on your geography — time-zone overlap, language, data-residency and IP law, stability, and the reputation of delivery from your region — and a single news cycle can move that perception for an entire country of providers. So we build it directly into targeting and creative: geo-qualified audiences and search terms, and ad and landing copy that leads with overlap hours, security and compliance posture, continuity, and proof of delivery for buyers in their region. Addressing location head-on is often what gets you onto the shortlist at all, rather than filtered out before capability is even considered.
Both, and they are connected. Past a certain deal size the people who can kill the deal are procurement, vendor management, and security — not the engineering leader your AEs courted — so paid does two things: on LinkedIn we reach those roles directly with proof they can wield internally (security posture, references, hard delivery evidence), and in the CRM we instrument procurement and security review as discrete tracked stages. That matters more for an outsourcing firm than almost any category, because over a 6–12 month cycle paid's influence is easy to lose, and the procurement gap is precisely where deals quietly stall and 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 — the same discipline behind the $30M+ in CRM-tracked, marketing-led revenue we have generated across 60+ B2B tech companies.
For DBB Software we stood up a marketing function from nothing and reached 28 SQLs and 3 won deals within a year, with paid carrying real weight in that mix. For WeSoftYou we rebuilt inbound from near-zero into $1.8M of tracked pipeline with 100% year-on-year SQL growth. Your numbers depend on deal size, vertical, geography, and cycle, but the method is the same across our 60+ B2B tech clients: optimize to accepted SQLs, qualify out the rate-shoppers and benchmark-hunters, win the auction sideways on the operating-model decision, reach the full buying group including procurement, and track every lead to a signed contract.
Setup — ICP and buying-group definition, account build, creative, risk-transfer offers, landing experiences, and CRM tracking with procurement stages — 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, and the deals themselves close later because of the procurement-heavy cycle. Paid is the fastest lever to turn on, but it works best as one layer: paid rents in-market reach now while SEO and AI-search optimization build the lower-cost organic demand you own outright and compound underneath it — Synebo-style rankings on the operating-model and region queries, and the AI-answer placements where XQL clients are currently named about 80% of the time. For most outsourcing firms 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.