
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
Enterprise software is sold into a finite, named buyer universe where the target market is measured in hundreds or a few thousand accounts globally, the committee is so large and distributed that most of it forms an opinion before a vendor conversation begins, and the deal is won or lost in the business case, the security questionnaire, and the procurement redline — not the demo. A generic lead-generation program that optimizes cost-per-lead and ignores the six committee members who never fill in a form is structurally wrong for this. We select target accounts by fit, mandate, and executive access, map the whole committee from champion to economic buyer to procurement gatekeeper, multi-thread every account with content and proof assets each role actually gates on, and track engagement account by account in your CRM all the way through a 9–18-month, procurement-gated cycle. Built for the high-ACV enterprise software motion. Measured in CRM-tracked pipeline and closed-won, not lead count.
We start with your economics and your motion: ACV, the size of your addressable named-account universe, how concentrated versus broad it is, your sales cycle length, and who sits on the buying committee — from champion and technical evaluator up to the economic buyer and the procurement and legal gatekeepers who control the final stages. We read any existing account efforts and pipeline to find where deals stall — is it early-stage where the economic buyer is never reached, or late-stage where procurement and security review freeze committed deals — and we identify which account-selection signals you already have that reliably predict a winnable deal versus an account with no trigger this year.
We hold your situation against the account-based programs we've run for B2B tech companies selling into large enterprises. A platform displacing a signed multi-year incumbent with a fully locked committee is a different playbook from one entering an evaluation where the incumbent hasn't been chosen yet and the committee is still forming. That pattern-matching tells us fast whether the real constraint is account selection and trigger identification, committee coverage above the champion, business case and proof asset quality, or the handoff from marketing into the procurement and legal stages — so the plan is benchmarked against deals that actually closed, not assembled from a channel playbook.
We commit to the target list, the tier model, and the channel mix that fit your ACV, your sales capacity, and the structure of the committee. A focused one-to-one program against the 15–20 accounts where an evaluation is open and an economic buyer is reachable beats a thin one-to-many program across 300 cold logos no AE can follow up on. We decide which accounts lead — usually the ones where a real trigger is visible and the incumbent situation creates a genuine opening — and where one-to-few and one-to-many ABM tiers make sense for the broader named account list.
We stand up the program as a system: the trigger-grounded account list, the full committee maps, the account research, the role-specific content and proof assets (business case, compliance layer, competitive comparison, reference package), the multi-threaded engagement sequences that work from champion up to economic buyer and through procurement, the handoff rules to your AEs and pre-sales engineers, and account-level CRM tracking instrumented through the deal stages where enterprise software actually stalls. The bar is that an economic buyer receives a business case they can defend to the board and a practitioner receives a technical depth that survives a vendor risk assessment — before we launch against named accounts.
Each cycle we combine account-level CRM data with direct feedback from your AEs, pre-sales engineers, and deal desk on which accounts and which committee threads moved. We drop accounts where the trigger expired or the economic buyer is unreachable, double down on the ones where multi-threaded engagement is warming both the champion and the procurement gatekeeper, refine the business case and proof assets based on the exact objections that froze the last deal in security review or legal, and adjust which committee roles we still need to reach in each priority account. The program compounds because it's optimized against account engagement, pipeline that survives procurement, and closed-won revenue — not impressions or lead volume — across the full 9–18-month enterprise cycle.
We have run account-based campaigns across 60-plus B2B tech engagements and spent 9-plus years marketing to technical and executive buyers in the enterprise — so we do not build your account list or your committee map from a blank page. We already know that in enterprise software the target market is a finite, named universe where a wishlist of 500 logos that have no mandate and no budget cycle is worth far less than 80 accounts where an RFP is opening and an economic buyer has been told to find an alternative. We know that the deal is won or lost in the business case, the security and compliance layer, and the procurement redline — not the demo — and that a champion who loves your product is useless without the financial argument they can carry to the CFO. We know what credible committee mapping and targeted proof assets look like for an 8–20-person enterprise buying decision before we touch yours.
Before we build a play we diagnose whether ABM is the constraint — and the enterprise software failure modes are specific. Sometimes the target list is firmographic and ignores the trigger that actually makes a named account winnable: a new CIO with a mandate to consolidate platforms, a contract renewal approaching on the incumbent, a recent compliance incident, a public RFP signal. Sometimes the program reaches only the champion and never multi-threads up to the economic buyer or through procurement, so deals stall one approval short of closure. Sometimes the business case and proof assets a committee needs are absent — no quantified TCO, no references at comparable scale and vertical, no security posture — which means ABM spend just reaches a risk-averse committee with nothing to reduce their risk. Because we have seen these patterns across dozens of technical-product companies selling into large enterprises, we usually name the real constraint before running a single play.
An account-based program for an enterprise software vendor reaches a large, distributed committee through whatever each role trusts. LinkedIn title targeting to reach the exact CIO, CFO, VP of Operations, and technical architect titles inside a named account. Technically rigorous content and security / compliance assets that a solution architect or InfoSec reviewer forwards to their team. Executive briefings, roundtables, and C-suite formats for the economic buyer who won't fill in a form. One-to-one business cases and TCO models built to the prospect's specific stack and incumbent situation. Sales and pre-sales outreach coordinated with the marketing program. Tightly scoped account-level ads that reinforce the message across the committee without inflating a vanity impression count. But the mix follows your motion and your account universe: a one-to-one program against fifteen strategic accounts where ACV justifies full personalization looks nothing like a one-to-few program across sixty accounts sharing a category trigger. We scope to your deal size, your sales capacity, and who actually decides — and leave out whatever only adds cost without reaching the room.
In an enterprise software company the people who know whether a target account is a real deal are your AEs, your pre-sales engineers, and your deal desk — not a marketing dashboard — so the loop with them is the program. We build the account list and the committee map with them. We review every cycle which named accounts deepened engagement or went quiet, which committee threads opened and whether they were in champion, economic buyer, or procurement, and what the exact objections were in the last procurement or security-review cycle: 'the incumbent contract doesn't expire for 18 months,' 'InfoSec put a hold on all new vendor onboarding,' 'the CFO asked for a TCO that justified switching costs.' That feedback rewrites the next cycle's targeting, the content for each committee role, and the proof assets we build before the next wave of deals enters procurement.
We instrument ABM at the account level in your CRM from first anonymous engagement through the procurement and legal stages where enterprise deals actually stall — not in a campaign platform that reports clicks and impressions and goes quiet when a deal enters the 'vendor review' stage for four months. We track which named accounts moved from cold to engaged and which committee roles each activated, how ABM-touched opportunities moved through security review and procurement versus unassisted deals, and closed-won revenue attributable to ABM effort with a multi-touch model that doesn't erase the 11 months of groundwork before the final demo. Across our book that account-level discipline is part of how we have tracked $30M-plus in CRM-tracked, marketing-led revenue — and it is how we tell a revenue leader honestly which target accounts are genuinely converting and which logos to drop.
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.
They solve different problems and work best layered. Demand generation and SEO earn high-intent attention across the market so buyers find you and anonymous research precedes the form; paid funnels book conversations from the slice actively evaluating. ABM sits above both: instead of waiting for an account to raise its hand, you name the specific accounts where a trigger is open — an incumbent contract renewal, a new CIO with a consolidation mandate, a compliance incident, a public RFP signal — and orchestrate marketing and sales to reach the whole 8–20-person committee inside each one and convert it to a contract. The difference is what you measure: not reach, cost-per-lead, or inbound volume, but account engagement and committee coverage on a named list, tracked account by account in your CRM through the procurement and security review stages where enterprise deals actually stall. For a seven-figure enterprise software deal, 20 of the right accounts worked properly can outweigh a quarter of inbound leads that were never in a buying cycle.
It makes ABM the structurally correct motion — and changes its character significantly. When your addressable universe is 500 or 2,000 named accounts rather than a mass market, spray-and-pray demand generation is structurally wrong and ABM is the natural fit. But finite universes also mean every account you burn with mis-timed or poorly targeted outreach is an account you can't run a cold-start on again for 18 months. That makes account selection — choosing based on real triggers and reachable committee access, not firmographic fit alone — more important, and it makes the quality of the business case and proof assets more important than the volume of touches. We build the program to the actual size of your universe: one-to-one depth for the accounts where deal size justifies full personalization, one-to-few for clusters sharing a category trigger or incumbent situation, and a discipline about which accounts make the cut at all given your sales capacity to follow up.
This is the single most common enterprise software stall, and ABM is how you fix it at scale — but only if the program is built to arm the champion and pre-answer the gatekeepers, not just to warm the champion and hand off to the AE. The procurement redline, the vendor risk assessment, the security questionnaire, and the MSA negotiation are all decided in rooms your AEs and marketers are not in, by people who have never met you and whose job is to find reasons to slow down or reject. We treat those stages as part of the ABM program: building the compliance and security proof pack the champion can send to InfoSec before the questionnaire arrives, the TCO and payback analysis the CFO needs before the budget committee meets, the reference pack from companies that switched at comparable scale and survived their procurement, and the competitive comparison that handles the incumbent's switching-cost argument honestly. Then we track deals through those exact stages in the CRM so you can see which accounts are stalling at which gatekeeper and fix the specific missing asset, rather than pushing more AE time at a wall procurement keeps closing.
That's the core of what enterprise software ABM has to solve — and the answer is not a form funnel, it's deliberate multi-threading and executive-format content. A CFO or CIO evaluating a seven-figure platform purchase is not clicking paid ads or attending a webinar; they're reading a TCO analysis a colleague forwarded, attending an executive briefing a peer recommended, or reading a named reference at comparable scale their champion put in front of them. We reach the economic buyer with content and formats calibrated to their actual decision criteria — the business case they can defend to the board, the quantified cost-of-inaction argument, the risk comparison with the incumbent, an executive roundtable with peers in the same role — and we reach them inside named accounts through LinkedIn title targeting and coordinated pre-sales engagement, not a generic inbound funnel. Critically, we build this layer concurrently with the champion relationship, not after — because a deal where the champion is warm but the economic buyer has never engaged is a deal one board budget question away from being deferred.
No — and we'll push back if you're about to sign a six-figure intent platform before you have a program to run on it. For an enterprise software vendor the most predictive account-selection signal isn't third-party intent data; it's the confluence of the incumbent's contract calendar, a new economic buyer with a documented mandate, a compliance or integration trigger the account can't ignore, and a verified deal size above your minimum. Third-party intent tools can't see those signals, and most of them surface the same accounts at the same time for every vendor in the category. Effective ABM here comes from disciplined trigger-based account selection, a real committee map down to named contacts at each stage, role-specific content credible enough to survive a vendor risk assessment, and a tight operational loop with your AEs and pre-sales engineers. We work with the CRM and channels you already have, instrument account-level tracking inside them, and add intent data or orchestration software only when a specific gap justifies the cost. The tool is never the program.
We measure at the account level through every stage of the enterprise cycle, not at the lead level with a last-click model that erases nine months of groundwork. From day one we track which named accounts moved from cold to multi-threaded and which committee roles each activated; how ABM-touched opportunities progress through security review, vendor risk assessment, procurement, and legal versus unassisted deals; and closed-won revenue with a multi-touch attribution model that assigns credit to the touchpoints across the full cycle. We use those deal-stage milestones — not clicks — as the evidence that ABM is moving accounts through a long procurement-gated cycle. We also won't claim a LinkedIn impression caused a deal, but we can show you account by account which ones have the right committee coverage and deal-stage progression to be worth pushing, and which ones to drop. That account-level discipline is part of how we've tracked $30M-plus in CRM-tracked, marketing-led revenue — and it's what keeps an ABM program funded through a cycle long enough to make a single-quarter payback period impossible.
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.