
DBB Software
Built the marketing function from zero — website, SEO, paid, AI search — from 166 to 2,513 monthly clicks and 3 enterprise deals won.
- 28 SQLs from zero
- 3 deals won
IT consulting is sold on trust built across a long cycle, to a committee that spans a technology sponsor, an economic buyer, and procurement and risk functions that run their own analyst and reference checks. A lead-generation program that fills a CRM with contacts doesn't fix that — neither does outbound that re-introduces your firm to a committee that has never heard of you and has Accenture on the shortlist. ABM for an IT consulting firm means naming the exact accounts where a transformation is forming, mapping the full buying committee from the IT leader who runs the search to the CFO who signs and the procurement team that vets the shortlist, multi-threading each with content that makes invisible expertise verifiable, and tracking engagement account by account in your CRM. Built for advisory, measured in CRM-tracked revenue, not traffic or raw lead counts.
We start with your practice: the transformation types you win, the sector and scale where you beat the global SIs on quality, your minimum engagement size, the typical cycle from first conversation to signed SOW, and who actually sits on the buying committee at the deals you want to win more of. Crucially, we read your recent won and lost deals to find where accounts went quiet — which committee layer wasn't engaged, which reference or analyst check you failed to anticipate, and whether the shortlist losses were positioning failures or coverage failures. That diagnostic tells us whether ABM is the right constraint to fix, and if so, where to start.
We hold your situation against the account-based programs we have run for consulting and advisory firms. A boutique strategy firm selling a CIO on a modernization roadmap is one playbook; a transformation consultancy entering a new sector where it has no brand recognition is another; an advisory firm competing to displace a global SI at an existing client is a third. That pattern-matching tells us fast whether your real constraint is target-list quality, committee coverage, third-party proof that survives analyst gating, or a positioning that is too generic to give any committee member a clear reason to choose you — and which tier model and channel mix fit your deal size, sales cycle, and BD capacity.
We commit to the target list, the tier model, and the channel mix that fit your practice and your BD team's capacity to follow up — and we deliberately scope it down. A focused one-to-one program against the handful of enterprise accounts where a transformation is actively forming and your specialty is the obvious fit beats a thin one-to-many sprayed across every firm on a firmographic list. We decide which accounts lead — usually the ones where a transformation trigger is recent, the committee is reachable, and your reference proof covers the domain and scale the buyer will check.
We stand up the program as a system: the trigger-grounded account list, the full committee maps, the account research, the split-committee content and proof assets (technical credibility for the sponsor, risk-removal narrative for the economic buyer, reference proof for procurement), the multi-threaded engagement sequences that cover every committee layer, the handoff rules to your BD and principals, and account-level CRM tracking that preserves the long first-touch path. The bar is that a CIO reads an asset and thinks 'this firm has thought about my specific problem' while the CFO sees a business case they can defend and procurement finds references that hold up. Then we launch against named, transformation-active accounts.
Each cycle we combine account-level CRM data with direct feedback from your principals and BD leads on which accounts and which threads moved. We drop accounts that show no transformation signal or no reachable committee, double down on the ones warming across multiple committee layers, refine the proof and messaging each layer responds to, and adjust which contacts we pursue. The program compounds because it is optimized against account engagement and converted advisory revenue across the full multi-stakeholder cycle — not against lead counts or traffic — and it holds up through the long advisory cycle rather than burning out on accounts that were never going to be won.
We have run account-based campaigns across 60-plus B2B tech engagements and spent 9-plus years marketing to technical and executive buyers including IT consulting and advisory firms — so we do not build your committee map or your account list from a blank page. We already know that the IT consulting committee runs from a technology sponsor who trusts published expertise, through an economic buyer who is primarily de-risking a board decision, to a procurement team running reference and analyst checks your marketing may never have anticipated; that the brand-name SI's biggest advantage is not better work but the safety of a recognizable logo; and which content assets a CIO reads as genuine intellectual credibility versus the kind of 'strategic trusted advisor' language every firm uses and no buyer believes. We know how an advisory deal stalls at procurement, who actually decides whether a boutique firm survives the shortlist, and what defensible proof looks like at the scale and domain a committee needs before they'll move forward.
Before we launch a single play we diagnose whether ABM is even your constraint — and the IT consulting failure modes are specific. Sometimes the real problem is positioning: the firm sounds like a safer-to-ignore generalist rather than the obvious specialist for a particular transformation, so the account program has nothing sharp to say to any committee member. Sometimes the target list is a firmographic wishlist built without any read on which companies have a transformation actively forming and where your specialty fits the problem. Sometimes the committee coverage is fine at the technology-sponsor level but the economic buyer never gets a business case and the champion can't answer procurement's questions alone. Because we have seen these patterns across dozens of advisory and professional-services engagements, we name the real constraint in the first weeks instead of running account plays that hit a blunt message against a committee that was never properly mapped.
An account-based program for an IT consulting firm reaches a split committee through whatever each layer trusts — LinkedIn to target the exact CIO, VP of IT, CFO, and transformation-owner titles inside a named account; genuinely intellectual founder- and principal-led content the technology sponsor respects as peer-level thinking; a C-suite advisory roundtable or sector-specific event for the economic buyers who read thought leadership but never fill out forms; one-to-one assets built around the account's transformation context; sales outreach; and tightly scoped account-level ads. But the mix depends on deal size and cycle length: a one-to-one program against ten strategic enterprise accounts justifies deep personalization and executive-format engagement; one-to-few across fifty mid-market firms entering a modernization window looks entirely different. We choose the tier model, channels, and sales-handoff rules that fit your practice area, ACV, and the team capacity to work named accounts.
In an IT consulting firm the people who know whether a target account is real are your principals, your BD team, and often the partner who last spoke to a contact at that company — not a dashboard. So the loop with them is the program. We build the account list and the committee map with them, review every cycle which named accounts deepened engagement or went quiet, read which threads opened inside an account and whether it was the technology sponsor or the economic buyer who warmed, and listen to the exact objections the room raised — 'we already have a relationship with a global SI,' 'the board needs a name they recognize,' 'procurement can't find three references at our scale.' That feedback rewrites the next cycle's targeting, the messaging for each committee layer, and which proof assets need to exist before the next outreach.
We instrument ABM at the account level in your CRM, not as a pile of lead metrics — and for an IT consulting firm that means doing the thing most teams skip: tracking the long, trust-led path so the point-of-view piece a buyer read six months before the RFP gets credit for the deal it started, not just the last sales email. We track engagement account by account: which target accounts moved from cold to researching to engaged, how many committee members each activated and at which layer, how ABM-touched deals move through RFP, reference check, and procurement stages versus the rest, and what closed. 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 you honestly which named accounts are genuinely converting and which to drop from the list.
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 content marketing earn authority and inbound attention across the market — a CIO finds your point-of-view piece, a VP of IT clicks your LinkedIn post — and they are the compounding foundation every consulting firm needs. ABM sits above both: instead of waiting for authority to surface an interested buyer, you name the specific accounts where a transformation is actively forming and orchestrate marketing and BD to engage the full buying committee on that named list before the RFP goes out. The difference is what you measure: not reach, sessions, or lead counts, but account engagement and committee coverage on a named list, tracked account by account in your CRM with the long trust-led path preserved. For a high-ACV advisory engagement, landing three of the right accounts can outweigh a quarter of inbound contacts that were never going to become a signed SOW.
ABM is specifically designed for it. The long IT consulting cycle isn't a bug — it is the reason account-based programs work better than lead funnels here. A lead funnel optimized for volume and short cycles produces contacts who were never in an active transformation and fills a CRM with names that go nowhere; ABM narrows to the accounts where the cycle has already started, invests in building credibility across the full committee over those 9 to 18 months, and tracks account engagement so you can see which named accounts are deepening and which have gone quiet. We instrument the CRM to preserve the full first-touch path so the point-of-view piece a technology sponsor read eight months before the RFP gets credit for the deal it started — not just the BD call that 'sourced' it. That attribution discipline is part of how we've tracked $30M-plus in marketing-led revenue across our book, and it is what keeps an account-based program funded through a long cycle instead of cut halfway through it.
Not head-on — and we won't pretend otherwise. ABM won't make your firm's logo feel as safe to a board as Accenture's. What it can do is manufacture the specific proof that makes brand-safety less decisive for the accounts that matter to you. The brand-name firms win on the comfort of a recognizable name, not on better thinking — so we beat them where that advantage doesn't apply: by being demonstrably the best mind on a specific transformation, sector, or decision the account is facing. ABM concentrates credibility-building on the named accounts where a transformation is forming: we reach the technology sponsor with published expertise sharp enough that they champion you internally, give the economic buyer a risk-removal narrative that makes choosing a specialist firm defensible to a board ('we hired the firm that is specific to this problem, not the generalist that does everything'), and build the reference and analyst-proof layer that lets your champion answer procurement's brand-gating questions. Done account by account, that focused authority converts the deals where generalist brand-safety can be argued past — and it is how a boutique firm wins against a global SI without competing on name recognition.
By making it part of the account program, not an afterthought. Above a certain engagement size the people who can quietly disqualify you — analysts the CIO's team consults, references at the exact scale and domain they will demand, and a procurement function whose mandate is to keep unknown vendors off the panel — are committee members nobody in most consulting firm marketing has ever spoken to. An account-based program built for IT consulting maps all of them: we identify the analyst coverage your target accounts will check, build the public authority and positioning that survives those checks rather than a vague 'trusted advisor' claim an analyst can't substantiate, assemble and brief references at the relevant domain and scale, and arm your champion to answer the procurement questions proactively instead of being filtered out mid-shortlist. That validation layer is one of the highest-leverage investments in the program — it is often the stage where boutique firms with better thinking lose to firms with better-prepared proof.
Because referral and network growth is real and valuable — and uncontrollable. It plateaus at the size of your existing network, it is invisible to accounts that don't already know you, and it leaves you with no demand engine you own when a key relationship retires or a partner moves on. ABM doesn't replace referral growth — it extends the reach and the account depth of the credibility your principals already have by targeting the accounts outside your existing network where a transformation is forming, building the authority proof that lets a stranger's technology sponsor champion you the way a referral contact would, and tracking the accounts your network surfaces so BD can orchestrate a real multi-threaded engagement rather than a one-on-one conversation that stalls when the champion can't carry it through the committee alone. DBB Software came to us building marketing from a standing start and we took it to 28 SQLs and 3 won deals in a year; WeSoftYou had effectively zero inbound and we rebuilt it into $1.8M of tracked pipeline.
We start from transformation triggers, not firmographics. A named list built around 'companies in financial services with 1,000-plus employees' is a starting universe, not an account list. The accounts worth pursuing are the ones where a transformation is actively forming — a platform end-of-life, a new technology leader arriving with a mandate, a compliance requirement that opens a modernization budget, a failed first-pass at the problem that makes the case for bringing in outside judgment. We build the list with your principals and BD leads by reading those signals, then tier it: one-to-one for the five to ten strategic accounts where the trigger is recent, the committee is reachable, and the ACV justifies deep personalization; one-to-few for clusters sharing a transformation type or sector trigger; one-to-many for a broader named universe you want to keep warm. The right total count depends on your practice area, deal size, and how many named accounts your BD team can actually follow up on — a focused list of twenty accounts worked properly beats a broad list of two hundred accounts your team has no capacity to engage.
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.