In the Salesforce ecosystem your best target accounts already have a Salesforce license, a live implementation problem, and a buying committee that has usually survived at least one failed rollout. The RevOps or sales-ops leader who owns the pain, the IT or platform owner who vets your technical depth, and the VP or CFO who approved the Salesforce spend and needs a defensible reason to pay a partner on top of it — three very different people who require three very different stories before any of them say yes. Generic outreach to named accounts fails here because the Salesforce buyer's skepticism is genuine: certification lists, partner-tier badges, and templated proposals confirm that every consultancy looks the same. ABM done right for a Salesforce consultancy names the target accounts where a platform trigger is live — a migration backlog, a failed adoption, a new RevOps leader, an Agentforce or Data Cloud push — maps the buying committee on each one from the pain-owner to the budget-approver to the IT gatekeeper, and multi-threads each with content that treats the failed-implementation fear as the actual conversation instead of avoiding it. Tracked account by account in your CRM, measured in qualified projects and closed revenue, independent of Salesforce partner routing. Nine-plus years, 60-plus B2B tech companies, $30M-plus in CRM-tracked, marketing-led revenue.
We start with your motion: which clouds and industries you have the deepest delivery proof in, average SOW size and sales cycle length, how dependent the current pipeline is on Salesforce AE and partner-manager routing, what the buying committee looks like in your strongest deals, and where your proof layer (case studies, AppExchange reviews, named references) holds up versus where it is thin. We map the platform triggers and firmographic signals most predictive of a live implementation project in your category — the signals that separate the high-fit named accounts with a buying window from the broader list of Salesforce licensees who are not shopping — and audit any existing account-based efforts for where committee coverage is missing or positioning is collapsing against the certified-partner baseline.
We hold your situation against the account-based and demand programs we have run for implementation consultancies and technical professional services firms. A firm selling rescue and recovery work to mid-market companies with failed rollouts runs a different ABM playbook than one selling Agentforce and Data Cloud implementations to enterprise IT organizations. That pattern-matching tells us fast whether the real constraint is account selection, committee coverage, positioning against the badge wall, proof-layer gaps, or the Salesforce-partner-routing dependency — and which tier model and channel mix will actually close deals in your specific motion — so the plan starts from benchmarked evidence rather than guesswork about what an unknown buyer will respond to.
We commit to the target list, the tier model, and the channel mix that fit your delivery proof, your committee structure, and your sales capacity — and we deliberately scope it down rather than spray it wide. A one-to-one program against eight strategic accounts where a platform trigger is live and your proof layer is strongest beats a one-to-many program against two hundred Salesforce licensees no AE has time to follow up on. We decide which accounts lead the first cycle — usually those where the trigger is clearest, your cloud and industry proof is deepest, and at least two of the three committee roles are reachable — and which accounts go into a lower-touch warming sequence while evidence accumulates.
We stand up the program as a system: the trigger-and-fit account list, the bottom-up committee maps per account or segment, the deep account research, the split-committee content and offers for RevOps sponsors and IT owners and VPs or CFOs, the multi-threaded engagement sequences that reach each role separately and escalate to sales at the right stage, the handoff rules, and account-level CRM tracking with ABM, AppExchange, and partner-referral sources separated from day one. The bar is that a RevOps sponsor reads it and thinks 'this firm has done my exact migration before,' while the IT platform owner reads it and thinks 'these people understand our integration complexity,' while the CFO reads it and can defend the spend as a risk-transfer decision. Then we launch against named, trigger-qualified accounts.
Each cycle we combine account-level CRM data with direct sales feedback on which accounts moved, which committee roles engaged, and which objections surfaced — 'we are already in a procurement process with another partner,' 'IT has concerns about the data model approach,' 'the CFO wants to see proof in a closer industry.' We drop accounts with no trigger visibility and no reachable economic buyer, double down on the ones warming across all three committee roles, refine the messaging and offer for each role based on what actually opened conversations, and adjust which contacts we pursue. The program compounds over a long Salesforce cycle because it is optimized against committee engagement and closed project revenue — not form fills, lead counts, or partner-routing attribution — and that discipline keeps it funded and improving past the first quarter.
We have run account-based and demand campaigns across 60-plus B2B tech engagements, including Salesforce consultancies and ecosystem partners — Synebo is the clearest proof, where the program produced 500% more SQLs and 2.73x organic traffic. Nine-plus years of marketing to the RevOps, IT, and finance buyers who choose Salesforce implementation partners means we arrive knowing the buying committee's actual fears, not guessing at them. We know that the RevOps sponsor's first question is about implementation risk and delivery accountability, not partner tier; that the IT owner vets technical depth on the first call and dismisses generalist positioning immediately; and that the CFO's ROI case runs through what the deferred project will cost, not through what certifications the partner holds. We know which account signals precede an implementation decision — a Salesforce product push (Data Cloud, Agentforce, Revenue Intelligence), a new RevOps or operations leader, a migration backlog that crept past a go-live deadline, a failed rollout that produced an org in need of rescue — before we look at yours.
Before we build a single list or launch a single play, we diagnose whether ABM is even the right motion for where you are — and the Salesforce-consultancy failure modes are specific. Sometimes the real constraint is that target accounts can't tell you apart from the other Crest- and Summit-tier firms in the same cloud, so a personalized ABM sequence lands on indistinguishable positioning that a skeptical buyer dismisses in one sentence. Sometimes the list treats 'Salesforce licensee' as a qualification and wastes sales capacity on accounts with no live platform trigger. Sometimes the genuine blocker is a thin or stale proof layer: no outcome-led case study in the buyer's cloud or industry, no AppExchange review profile that holds up to the 'who has actually delivered this before' question a burned buyer runs before any call. Because we have seen these patterns across dozens of technical-professional-services companies, we name the real constraint in the first weeks instead of running outreach into a positioning gap or a proof gap that no personalization volume can close.
A named-account program for a Salesforce consultancy reaches a three-way committee split through whatever each role trusts — and none of them trust the same thing. The RevOps sponsor reads outcome-led case studies in their cloud and industry, migration and adoption retrospectives, and founder or principal-led content that proves the consultancy has an opinion about how Salesforce projects fail and how to prevent it. The IT platform owner reads technical depth: the architecture approach, the data-model decisions, the integration patterns, the security and compliance posture — content that shows you understand their org's complexity, not a generic Salesforce overview. The CFO reads ROI: the cost of deferred implementation, the pipeline risk of low adoption, the case for spending on an accountable partner versus an in-house team or a cheaper firm that won't own the outcome. A program that reaches only one of those roles stalls in the same room. We mix LinkedIn title targeting by role, one-to-one account-specific outreach and assets, executive-accessible content, and direct sales coordination — and we tier the program by deal size and account count: one-to-one for a handful of high-ACV strategic targets, one-to-few for clusters sharing a trigger or cloud, one-to-many for a broader pipeline build. We cut what does not reach the room.
The people who know whether a named Salesforce account is actually in a buying window are your account executives, your principals who run delivery, and often your practice leads who talk to the Salesforce AE community — not a dashboard. We build the account list and the committee map with them, review every cycle which accounts showed engagement across which committee roles, read exactly what objection each committee member raised in the first touch ('we already have a managed services agreement,' 'we went through an implementation last year and it wasn't great,' 'the CFO froze discretionary spend'), and adjust every element — the list, the tier, the messaging, the sequence, the offer — based on what sales actually heard. That loop is how the program gets smarter over a long Salesforce sales cycle instead of running the same sequence into the same resistance for a quarter and a half.
We instrument the account-based program at the account level inside your CRM — and for a Salesforce consultancy, getting this right is not a nice-to-have but a proof-of-competence that every prospect evaluates. When a RevOps sponsor or CFO asks how you track your own marketing attribution, an accurate and defensible answer is part of how they assess whether you can be trusted to run theirs. We separate ABM-sourced pipeline from Salesforce-AE-referred leads and AppExchange directory leads on one account-level view: which named accounts moved from cold to engaged, how many committee roles across each activated, how ABM-touched deals move through security and procurement and the MSA stage where Salesforce deals most often stall, and how the win rate on ABM-touched opportunities compares to the rest. That discipline — the same that has contributed to $30M-plus in CRM-tracked, marketing-led revenue across our book — is how we tell you honestly which named accounts are converting toward a signed statement of work and which to drop.
Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.
Our founder led their marketing as Head of Marketing, running a 7-person team across SEO, demand gen, and paid — $1M/year in marketing revenue. Re-engaged in 2026 and halved cost per MQL and SQL.
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Senior operators on every account. Never a junior pod.
Rebuilt inbound from scratch — 100% YoY SQL growth, 207% more traffic, domain rating from 12 to 45, and 141 articles shipped.
ServicesFractional CMO · SEO · Demand Generation
“We've seen a 207% increase in web traffic and our domain rating improved from 12 to 45.”
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.
ServicesMeta Ads · Fractional CMO · AI Search
“Their expertise and proactiveness have impressed our team.”
Positioned them as the recommended Salesforce partner inside the major LLMs — two $1M enterprise deals closed from ChatGPT in a 3-month engagement.
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“They operated with the discipline and initiative of an internal senior marketer.”
Built the marketing function from zero — website, SEO, paid, AI search — from 166 to 2,513 monthly clicks and 3 enterprise deals won.
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“They defined a clear marketing strategy and established our unique value proposition.”
Turned Salesforce-niche SEO into a deal channel — 2.73× traffic and MQL-to-SQL conversion up from 17% to 29%.
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“We have started receiving our first inbound requests.”
Restructured the marketing team and shifted to lead-driving SEO — doubling client count and growing SQLs 133% in nine months.
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Switched them from brand-awareness content to lead-driving SEO — 20 of 25 service pages ranked top 5 and the first deals closed from organic.
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“XQL Group's marketing expertise is a hallmark of the engagement.”
Stood up SEO as a new acquisition channel — domain rating 27 to 44, 50+ leads, and 88 articles in nine months.
ServicesSEO
“Their subject matter expertise is highly impressive.”
After six months of zero results from another agency, we delivered +70% Google clicks and grew AI-assistant traffic from 10 to 154/month in three months — and the first SQLs from SEO.
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Meta appointment funnels at scale — 466 leads and over 100 booked sales conversations from a single paid channel.
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“They've brought structure, strong execution, and constant initiative.”
Set up marketing from zero — positioning, website, LinkedIn social selling, and an ABM campaign that landed four new clients fast.
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“Their ability to combine strategic vision with hands-on execution was particularly valuable.”
Positioned a small studio in a niche AI-search category — recommended by LLMs for 2 commercial keywords, landing a big client in one month.
ServicesAI Search · AEO/GEO · Website
“They knew how to approach AI search practically, not just in theory.”
Recommended by every major AI assistant for 3 commercial keywords, plus a deal closed from Meta appointment funnels.
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“What impressed us most was their deep specialization with software development companies.”
Positioned for an important commercial keyword and recommended by the major AI assistants within a single month.
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Took over marketing as their agency after an unsuccessful in-house run — GTM strategy, paid funnels, AI search, and LinkedIn delivered 75 leads and the first qualified pipeline.
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A targeted ABM campaign booked 13 conversations with ICP accounts and opened three opportunities in two months.
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Repositioned the agency, revamped the site, and built appointment funnels that booked qualified intro calls at just $34 each.
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A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.
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Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.
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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 operate on different levers and work best layered rather than substituted. SEO builds owned, compounding organic demand for buyers who are actively searching implementation-decision queries — migration, cloud-selection, failed-rollout recovery — and paid funnels book conversations from the fraction actively shopping with an immediate timeline. ABM sits above both: instead of waiting for a buyer to find you through search or an ad, you name the specific accounts where a platform trigger is live — a Data Cloud or Agentforce push, a new RevOps leader, a migration backlog — and orchestrate marketing and sales to reach the full committee on that named list before the RFP goes out. The difference is what you measure and who you work: not sessions, rankings, or leads, but account engagement across the RevOps sponsor, IT platform owner, and CFO on a named list, tracked account by account in your CRM. For a consultancy with a high ACV and a committee-driven six-to-nine-month cycle, a handful of the right named accounts closed through ABM can outweigh a quarter of broadly generated leads that never had a live trigger.
Because the referral tap is rented and the ABM motion builds something the platform cannot route away from you. Salesforce AE and partner-manager referrals are real pipeline and worth protecting, but they are determined by co-sell priorities, territory assignments, and platform incentives you do not control — the moment an AE changes territory or priorities shift toward a partner competitor, the inbound slows and you have no owned named-account motion to fall back on. ABM is the motion that generates enterprise implementation projects independently of what the platform chooses to route: you name the accounts with live triggers, multi-thread the committee without waiting for a Salesforce introduction, and build relationships across the three decision-making roles the AE usually only touches one of. We track both sources separately in your CRM so you can see exactly what proportion of your pipeline you own versus rent — and make the case that the owned motion is worth funding alongside the platform relationship, not instead of it.
By treating them as three distinct audiences inside one named account and sequencing plays to each role separately — not by sending a single outreach email and hoping the right person opens it. The RevOps or sales-ops sponsor who owns the implementation pain needs outcome-led delivery proof: a case study where you migrated a complex Salesforce org without killing pipeline data, lifted adoption from a failed rollout, or built a CPQ no one had been able to make work — specific to their cloud and their industry, framed around the risk you removed rather than the certifications you hold. The IT or platform owner needs to see technical credibility before they will pass you through the security review: architecture approach, how you handle org complexity and MuleSoft integrations, your data-model decisions, what your delivery methodology looks like for their specific environment. The VP or CFO who controls the budget needs the ROI case: what it costs the business to defer the implementation, what the adoption gap costs in pipeline, and why the additional partner spend is a risk-transfer decision rather than an implementation expense. We map who sits in each role for every target account and run plays timed so that by the time sales initiates a scoping call, all three committee members have already received a reason to trust you — not just the one who opened the first email.
By making the failed-implementation fear the center of the content rather than the thing to avoid. Every Salesforce buyer in a position to commission a new project has either experienced a painful rollout or is managing the aftermath of one — a Salesforce org with technical debt accumulating faster than the admin team can clear it, a CPQ that the sales team refuses to use, a migration that ran eighteen months over timeline. Generic ABM content that leads with certifications, clouds, and partner-tier badges confirms their suspicion that every consultancy markets the same way and none of them will be accountable for the outcome. We build content for each committee role that names the fear directly: migration retrospectives that show how you protected revenue data through a complex data model change, adoption case studies that prove you own the change-management outcome after go-live rather than handing over a configured org and leaving, org-complexity walkthroughs that demonstrate you understand the integration surface the previous partner ignored. The same content that addresses the skepticism also earns trust — it functions as proof in a way that badge-and-cloud marketing cannot, and it reaches a buyer who is actively comparing how partners respond to the question 'what happens if this goes wrong on your watch.'
Yes — ABM is about concentration and committee coverage, not company size, and a smaller Salesforce consultancy that can only work twenty or thirty named accounts at once is actually better positioned to run a focused program than a large firm spreading thin across hundreds of accounts. The discipline is the same regardless of scale: select on the platform triggers and fit signals that predict a real buying window, not on the universe of Salesforce licensees; map the committee from the RevOps sponsor to the IT platform owner to the CFO on each priority account; build the proof layer for the cloud and industry where your delivery is strongest; and track at the account level so you know which named accounts are actually converting toward a scoping conversation and which to drop. What changes is the tier model — a boutique consultancy might run one-to-one against eight to twelve strategic accounts where the trigger is clearest and the ACV justifies deep personalization, plus a one-to-few warming track for twenty or thirty accounts in a recognizable trigger cluster. That is a program a two- or three-person sales team can actually follow up on, measured in qualified projects, not leads.
We measure at the account level and track the full path from first engagement to closed statement of work, with committee-role coverage as a leading indicator and CRM-tracked revenue as the terminal metric. From the first cycle we track which named accounts moved from cold to engaged, which of the three committee roles (RevOps sponsor, IT platform owner, VP or CFO) each account activated and in what sequence, how ABM-touched accounts move through the procurement and MSA stages where Salesforce deals most often stall, and how the win rate and cycle length on ABM-touched opportunities compare to the rest of the pipeline. We separate ABM-sourced pipeline from Salesforce-partner-referred leads and AppExchange leads on a single account-level line in your CRM, so a Salesforce AE who also touched an account the same quarter cannot erase the ABM attribution. We will not claim a single LinkedIn impression caused a signed project, but we can show you, account by account, which named accounts with live triggers are genuinely converting toward an implementation engagement and which are not — across the full multi-stakeholder, procurement-gated cycle. That account-level discipline is part of how we have tracked $30M-plus in CRM-tracked, marketing-led revenue across our book, and it is what keeps an account program funded through a long Salesforce cycle instead of cut when the CFO asks for proof in a board meeting six months in.
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.
