
Intelvision
Took a referral-only firm to a real new-business engine — 5 deals and $240K revenue from Meta in a year, plus 2–4 SQLs/month from ChatGPT.
- $240K revenue from Meta
- 5 deals in 12 months
There is no product demo to book when you sell custom development — only a scoping conversation that has to be with a buyer who has budget, a live initiative, and a real reason to outsource. We engineer paid funnels that put exactly that buyer into your delivery team's calendar: the offer that earns a CTO's hour, the qualification that filters out students and $5k-budget tire-kickers before they reach a rep, and CRM tracking from ad click to a signed project. Built on what we have learned booking meetings for 60+ B2B tech companies — measured in accepted SQLs and CRM-tracked revenue, not form-fills.
We start with your economics: average project size and ACV, which engagement models you sell, the six-to-nine-month cycle and who sits on the buying committee, and what your delivery team will actually accept as a qualified scoping conversation. We map the current funnel — if one exists — to find where in-ICP buyers leak out and where the calendar is filling with people who were never going to sign a development contract.
We test what we find against patterns from 60+ B2B tech companies and our 9+ years marketing custom software and outsourcing. That tells us quickly whether your problem is targeting, the offer, the look-alike landing page, or weak qualification — and what a realistic cost-per-accepted-SQL looks like for your kind of development deal — so the plan is benchmarked against deals that actually closed, not guessed.
We select the channel mix and the scoping-call offer that fit your buyer, engagement model, and deal size, and decide where the first budget goes. Sometimes the fastest win is reframing a vague 'consultation' into a fixed-scope architecture review on a channel you already run; sometimes it is adding high-intent search for a specific vertical or LinkedIn targeting for the buying committee. We commit to the path most likely to book accepted, scoped conversations first.
We build the funnel as a system — landing pages that do not read like boilerplate, the offer, a booking flow with qualification tuned to your minimum deal size, audience definitions, and CRM tracking — so every booked scoping call is attributable and every tire-kicker is filtered before it reaches a delivery lead. Then we launch and start spending against cost-per-accepted-SQL.
Each cycle we combine CRM attribution with direct feedback from the people taking the calls: which booked conversations became scoped projects, which were unfit, and why. We cut what produces tire-kickers, double down on the campaigns and audiences that produce real project conversations, and refine the offer and qualification. The funnel compounds because it is optimized against signed development work, not platform metrics — and it holds up across the long cycle.
We have run paid acquisition for 60+ B2B tech companies and spent 9+ years marketing custom software, IT outsourcing, and product studios — so we do not start your funnel by guessing what a dev-shop buyer responds to. We already know that 'book a free consultation' fills a calendar with people who want free scoping, that an offer framed around a specific risk ('a fixed-scope architecture review before you commit a budget') books an actual decision-maker, and which job titles and company sizes waste a solutions architect's afternoon. We know what a believable cost-per-accepted-SQL looks like for a development deal before we spend a euro of your budget — because for Split Development we ran Shopify-developer ads that booked qualified projects at a $38 cost-per-lead and a 34% lead-to-meeting rate, and won three deals from them.
Before we touch a campaign we map your funnel against the specific failure points of a custom-development offer: is the targeting pulling in non-buyers, is the offer a vague 'consultation' instead of a reason a CTO books now, is the landing page leading with the same senior-engineers boilerplate as every competitor, or is the booking step failing to filter out sub-minimum-budget projects? Most agencies discover a dev-shop funnel is broken after three months of scoping calls that go nowhere. Because we have seen these exact patterns across dozens of software companies, we usually name the real constraint in the first weeks and fix the step that is leaking qualified accounts before we scale spend behind it.
A dev shop's paid mix should follow how technical and economic buyers actually shortlist a development partner — and that differs by what you sell. High-intent search ('hire react native developers,' 'fintech software development company,' 'salesforce implementation partner') captures buyers with a live initiative who are already comparing vendors. LinkedIn lets us target the exact titles on the buying committee — a VP of Engineering, a Head of Product, a non-technical founder — for a specific vertical or engagement model. Retargeting compresses the long, multi-session research window a six-figure project demands. We pick the mix from your ICP, engagement model, and minimum deal size, and we will tell you when a channel you are attached to is the wrong place to spend a dev-shop budget — rather than defaulting to whatever is fashionable.
In a dev shop the people who know whether a booked call was actually a real project are your delivery leads, solutions architects, and the founder — not a dashboard. So we sit in the feedback loop with them every cycle: which booked conversations turned into a scoping document, which were tire-kickers or sub-minimum budgets, which 'fit' accounts had no real authority to sign, and what the conversations that became signed projects had in common. That goes straight back into targeting, the offer, and the qualification questions on the booking form. The funnel sharpens because it learns from which meetings became billable work, not from cost-per-click.
Every appointment we book for you 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 your sales cycle runs six to nine months and touches a technical lead, a VP, and a CFO. Marketing's influence on a development deal is real but easy to lose in that gap, which is exactly when paid budgets get cut. We instrument the full path so you can see cost-per-accepted-SQL and revenue by campaign, defend the spend in a board deck, and stand inside the $30M+ in CRM-tracked, marketing-led revenue we have generated for B2B tech companies — instead of looking at a screenshot of form-fills.
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.
A scoping or discovery conversation with a fit buyer, not a 'demo.' That distinction is the whole reason a generic 'book a free consultation' funnel fails for dev shops: it attracts everyone who wants free advice or a quick quote. We replace it with a specific, low-risk offer a real decision-maker books now — a fixed-scope architecture review, a build-vs-buy teardown, a delivery-risk audit of an existing project, or a fixed-price discovery sprint. The booking step is qualified so the conversation lands on your delivery lead or solutions architect only when the account has budget, authority, and a live initiative.
Three layers. First, the offer and targeting are built to attract a specific buyer and project profile, not the widest possible audience — a fixed-scope architecture review does not appeal to someone who wants a free app idea costed. Second, we put qualification on the booking step — budget range, role, timeline, project type — so out-of-ICP and sub-minimum-budget requests self-select out before they reach a calendar. Third, each cycle we review with the people taking the calls which bookings were tire-kickers and feed that straight back into targeting and the qualification questions, so the filter keeps tightening. The point is to protect your billable senior people from calls that were never going to close.
It has to, or it books the wrong people. A funnel that ignores outsourcing skepticism converts the unbothered price-shopper and repels the careful, high-ACV buyer you actually want. We build the offer and landing experience around the risk your buyer is already feeling — the bait-and-switch of seniors for juniors, the fixed-price project that ran 3x over, communication breaking down across time zones — and answer it with proof and a low-commitment first step before the call. That is also why the offer is framed as a review, audit, or scoped sprint: it lets a wary buyer test you on something concrete rather than commit to a vendor relationship blind.
It depends on what you sell and how your buyers shortlist a partner. High-intent search captures buyers with a live initiative who are already comparing vendors — queries like 'hire react native developers,' 'fintech software development company,' or a specific platform implementation partner. LinkedIn lets us target the exact buying-committee titles (VP of Engineering, Head of Product, a non-technical founder) for a vertical or engagement model. Retargeting compresses the long, multi-session research a six-figure project demands. We choose the mix from your ICP, engagement model, and minimum deal size — and we will tell you if a channel you are attached to is the wrong place to spend a dev-shop budget.
We instrument the full path in your CRM — ad click, booked scoping call, accepted SQL, scoped opportunity, signed project, revenue — attributable by campaign, audience, and vertical. This matters more for a dev shop than almost any category, because over a six-to-nine-month cycle that touches a technical lead, a VP, and a CFO, marketing's influence is real but easy to lose, and that gap is exactly when paid budgets get cut. With the path instrumented you can report cost-per-accepted-SQL and revenue by campaign rather than a screenshot of form-fills — which is how we stand behind $30M+ in CRM-tracked, marketing-led revenue across B2B tech.
A marketplace sells you shared leads — the same RFP tourists pinging ten vendors at once, billed per lead, with no fit filter and no connection to whether anything signs. An appointment funnel builds you an owned channel that books exclusive scoping conversations with in-ICP accounts qualified to your minimum project size, and proves which spend became real revenue in your CRM. One optimizes for the vendor's lead count; the other optimizes for your delivery team accepting the meeting and the project closing.
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, booked qualified development projects, and won three deals. For Intelvision, a B2B tech client, our paid funnel booked 100 meetings from 257 leads and produced $240K in revenue at 28.9x return on ad spend, engineered into a flagship enterprise deal. Your numbers will depend on project size and sales cycle, but the method is the same: optimize to accepted SQLs, qualify out the tire-kickers, and track every booking through to a signed project.
Setup — ICP and disqualifiers, the scoping-call offer, landing pages, the qualified booking flow, and CRM tracking — typically takes a few weeks. After launch the first booked conversations come quickly, but the value compounds over the following cycles as we feed real acceptance data (which meetings became scoped projects) back into targeting and qualification. Because we benchmark against patterns from 60+ B2B tech companies, we usually identify and fix the limiting constraint early — a look-alike landing page, a weak offer, leaky qualification — rather than scaling a funnel that quietly burns your architects' time for months.
No. For a dev shop, effective appointment funnels come from a sharp, risk-led offer, disciplined targeting, real qualification, and a tight feedback loop with the people taking the calls — not a six-figure software contract. We work with the CRM and ad platforms you already have and add tooling only when it pays for itself in better-qualified, in-ICP scoping conversations.
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.