
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
When a seat opens, an engineering manager weighs four options simultaneously: post to their internal recruiter, open Toptal or Upwork, hire a full-time employee, or call a staff-aug partner. Paid built for that decision reaches the exact person — by title, company size, and open-seat signal — at the moment they're making the comparison, with proof that makes your vetting credible and your speed concrete. We run paid social (LinkedIn, Meta) and paid search as one engineered system aimed at the hiring manager and VP Eng with a live requisition, not at the directory traffic that looks like volume but never signs a contract. Built on 9+ years and 60+ B2B tech companies — augmentation and outstaffing providers among them — and measured in accepted SQLs, first placements, and CRM-tracked seat-expansion revenue.
We start with your economics — average contract value and seat economics, the role types and stacks you fill fastest, who sits on the buying decision (hiring manager, talent lead, VP Eng, and the legal or security reviewer who can veto an embed), and what your BD team accepts as a qualified conversation — then audit any existing account for the classic augmentation-paid leaks: budget tuned to form fills instead of hiring-manager pipeline, head-term bidding against directories you cannot win, creative that confirms buyer suspicion, campaigns reaching job-seekers instead of hiring managers, and tracking that stops at the form fill and misses placements and expansion. 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 — augmentation and outstaffing providers among them. That tells us fast whether the constraint is the optimization target (form fills vs. qualified hiring-manager conversations), auction strategy (fighting the unwinnable head terms), targeting (reaching job-seekers instead of the hiring manager with a seat open), or creative that confirms buyer suspicion about inflated CVs — and what a realistic cost-per-accepted-SQL looks like for your deal size and role type — so the plan is benchmarked against paid programs that produced tracked placements, not platform best-practice that ignores how augmentation deals actually close.
We commit to the channel mix and offers most likely to produce accepted, in-ICP hiring-manager conversations first — usually LinkedIn precision targeting by title and company-size signal plus a disciplined high-intent search account on comparison, role-specific, and staffing-decision terms, with Meta retargeting layered on for the long evaluation — and deliberately skip a thin presence everywhere. Often the fastest win is abandoning the head-term auction and the cost-per-form-fill target, and reallocating that budget to reach the engineering manager and VP Eng at the staffing decision moment.
We build paid as one engineered system — search and social accounts, audiences and negatives, outcome-led offers, proof-led creative that survives an engineering manager's skepticism and makes vetting concrete, landing experiences that answer the speed-and-quality question and the legal-embed concern before the first meeting, and CRM-grade conversion tracking that separates job-seekers and rate-shoppers from qualified hiring-manager 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 BD team: which campaigns became qualified conversations with hiring managers who had a live seat, which produced job-seeker noise or vague rate inquiries, and why the deals that converted into placements came from the audiences and creative they did. We cut the noise, double down on what produces real hiring-manager pipeline, refine creative and offers, and keep growing the negative lists. The account compounds because it is optimized against first placements and seat-expansion revenue across the full cycle — not the form-fill count the platform rewards by default.
We have run paid and growth for 60+ B2B tech companies across 9+ years — augmentation, outstaffing, and dedicated-team providers among them. We already know what the decision moment looks like for a hiring manager with a seat open: that the real comparison is against their recruiter and Toptal, not the next augmentation firm on the list; that a form fill optimized by the platform is not a placement; that the head terms are owned by directories you can't outbid; and that proof-led creative about vetting process and honest leveling converts the skeptical engineering manager where generic "top 3% talent" language bounces off. We rebuilt WeSoftYou's inbound from zero into $1.8M of tracked pipeline and across the portfolio that discipline sits inside $30M+ in CRM-tracked, marketing-led revenue.
Before scaling spend we name why an augmentation account underperforms, against this category's specific failure modes: budget tuned to form fills instead of qualified hiring-manager conversations, head-term bidding against directories you cannot win, "top 3% talent" creative that confirms buyer suspicion instead of dissolving it, campaigns that reach the wrong audience (candidates, rate-shoppers, benchmarkers) but not the hiring manager with a live requisition, or tracking that stops at the first form fill and misses placements and seat expansion. Most agencies discover the leak after a quarter of falling cost-per-lead that never converts to a placement. We usually identify it in the first weeks — and we will tell you if paid is not the right first lever for your stage rather than bill you to scale the wrong thing.
Paid search and paid social do different jobs for a staff augmentation company. Search is worth it only on narrow, high-intent terms that capture a live staffing decision — comparison queries ("staff augmentation vs. full-time hire," "staff aug vs. Toptal," "augment vs. outsource for a time-boxed project"), role-specific hire searches ("hire senior backend engineer fast," "Python contractor for fintech team," "nearshore React engineer US timezone"), and geography and timezone combinations — never the platform-dominated head terms. LinkedIn is the precision workhorse: it targets the exact titles that sign — engineering managers, VP Engs, talent and RevOps leads, hiring directors — by company size, industry, and growth signal, and it's the only channel that reaches the hiring manager before the Toptal tab opens. Meta earns its place retargeting the long, multi-stakeholder evaluation and reactivating warm accounts that visited a role-specific or comparison page. We weight the mix to your ACV, role types, and land-and-expand motion, and say so when a channel you like is wrong for an augmentation budget.
The people who know whether a paid lead was real are your BD team and delivery leads — not the ad platform, and not your form-fill counter. Each cycle we sit with them: which campaigns produced qualified conversations with hiring managers who had a live seat versus job-seekers padding the pipeline, which leads had a specific role and budget authority versus a vague interest in rates, which accounts had legal or security concerns that slowed the deal, and what the placements that expanded into teams shared. That feeds straight back into targeting, bids, creative, and negative lists. The account sharpens on which clicks became qualified hiring-manager conversations and which became the wrong audience — not on the cost-per-form-fill the platform rewards by default.
Every dollar is tracked in your CRM from ad click to meeting to accepted SQL to first placement — and crucially, through seat expansion, because in augmentation the real revenue is landing one engineer and growing into a team. This matters more than most staffing firms realize: a single placement is fragile revenue tied to utilization and bench, and a contract ends when the need does. Paid that's judged on first placements looks expensive; paid that's credited for the expansion account it seeded looks like a compounding engine. We instrument the full path so you can show cost-per-accepted-SQL, cost-per-placement, and revenue influenced by channel and campaign — and stand inside the $30M+ in CRM-tracked, marketing-led revenue we have generated for B2B tech — not a form-fill count that says nothing about whether the seat 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.
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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.