+500%more SQLs from organic
Synebo
Turned Salesforce-niche SEO into a deal channel — 2.73× traffic and MQL-to-SQL conversion up from 17% to 29%.
- 2.73× organic traffic
- MQL→SQL 17% → 29%
Service · ABM for B2B SaaS Companies
ABM for B2B SaaS companies that need to land and expand named enterprise accounts, not harvest another free trial.
Your self-serve funnel converts one user on a credit card. But the accounts that move ARR are larger, sales-led deals where four-to-eight people decide, a developer can veto you, and security and procurement can stall the contract. We name those accounts, multi-thread the whole committee, and turn your product-usage and intent signals into plays your AEs can work — measured as engaged accounts and closed ARR in your CRM, not a signup line. Across 60+ B2B tech companies and 9+ years, we've tracked $30M+ in CRM-tracked, marketing-led revenue.
- B2B tech companies worked with
- 60+
- Years marketing to technical & executive buyers
- 9+
- CRM-tracked marketing-led revenue
- $30M+
- AI Search recommendation success rate
- 80%
- Build and prioritize the target account list with sales and success — new-logo AND expansion accounts already in your book — selecting on real fit, intent, and your own product-usage signals, then tiering one-to-one, one-to-few, and one-to-many by ARR potential and winnability.
- Map the SaaS buying committee per account or segment: the economic buyer, the platform owner or technical evaluator who can veto on architecture or security, the end users, and the procurement, security, and finance blockers who stall signed deals.
- Wire product signals into account plays: turn product-qualified usage and intent (active seats, feature adoption, usage spikes, trial activity from a target domain) into triggers so a hot account fires a committee-level play, not a single self-serve nudge.
- Run deep account research that makes each priority account a market of one — the stack they run, the competitor they'd switch from, hiring and funding triggers, and the integration or migration reality behind every touch.
- Create account-based content credible to a technical room: comparison and migration narratives, architecture and security proof (SOC 2, data residency), integration depth, and executive-relevant points of view — not templated outreach at scale.
- Orchestrate multi-threaded engagement across the committee — LinkedIn, expert content, executive webinars, one-to-one assets, account-level ads, sales outreach, and in-product or lifecycle touches to users already inside the account — sequenced from warm-up to activation.
- Align marketing, sales, and customer success on shared plays: who reaches the economic buyer versus the technical evaluator, when a product-qualified account hands to an AE or CSM, and what 'this account is ready' means before a closer invests time.
- Instrument account-level CRM tracking so engagement, committee coverage, opportunities, expansion, and closed ARR are attributable account by account — with product-qualified usage and sales-qualified accounts on separate, honest lines.
- Run a structured account review each cycle and report account engagement, committee coverage, pipeline and expansion created, and ARR influenced — in board language, with a clear recommendation on which accounts to keep, add, or drop.
How the system works
How the ABM system works
Diagnose the market
We start with your SaaS economics and sales reality: ACV by segment, where PLG ends and sales-led begins, expansion versus new-logo revenue, who sits on the committee in your category, how many accounts your team can work, and what your pipeline and product data say about where good-fit accounts stall. We map existing product-qualified usage and any account efforts to find committees that go unaddressed.
Compare against known B2B SaaS patterns
We hold your situation against the account-based and demand programs we've run across 60+ B2B tech and SaaS engagements. That tells us quickly whether the constraint is account selection, committee coverage, technical-evaluator trust, product-signal activation, or sales capacity — and which tier model fits your ACV and PLG-versus-sales-led split, so the plan is benchmarked, not guessed.
Choose the right growth path
We commit to the list, tier model, and channel mix that fit your buyer and sales capacity — and scope it down. A focused one-to-one program against the enterprise logos and expansion accounts that move ARR beats a thin one-to-many sprayed across a list no one can follow up on. We decide whether the first effort points at new logos, expansion inside existing customers, or both.
Build the service system
We stand up the program as a system: the prioritized list, committee maps, product-signal triggers, account research, credible content, multi-threaded sequences from warm-up to activation, marketing–sales–success handoff rules, and account-level CRM tracking. Then we launch against named accounts — every touch tied to a real account and a real person on its committee, not a self-serve form.
Optimize against CRM + sales feedback
Each cycle we combine account-level CRM data and product signals with direct sales and success feedback on which accounts and threads moved. We drop accounts that show no signal, double down on those warming across multiple committee members, refine the messaging the technical room responds to, and adjust which contacts we pursue. The program compounds against engaged accounts and closed ARR — including expansion — not signup counts.
The XQL difference
Why XQL runs ABM differently for B2B SaaS
- 01
Market memory
We've run account-based and demand programs across 60+ B2B tech companies, including SaaS, over 9+ years — so we don't map your committee or list from a blank page. We already know how a SaaS committee splits (economic buyer, the platform owner who can veto on architecture or security, end users, procurement and finance blockers), which product and intent signals separate a winnable account from an aspirational logo, and which personalization a skeptical engineer reads as relevant rather than mail-merge. You don't spend a quarter teaching us what a webhook, a SAML login, or a SOC 2 report is.
- 02
Faster diagnosis
Before any play we diagnose whether ABM is even your constraint — and in SaaS the misdiagnosis is specific. Sometimes the list is right but deals stall because only the product champion was engaged and the economic buyer never heard from you; sometimes you're sitting on product-qualified usage inside named accounts that no one works as ABM; sometimes the real revenue is expansion inside existing customers and the program should point inward. Having seen these patterns, we usually find the bottleneck in the first weeks instead of spraying campaigns at the wrong accounts for two quarters.
- 03
Smarter channel selection
A SaaS program reaches the committee through whatever each role trusts — LinkedIn for account-and-title targeting, expert content the technical evaluators respect, executive webinars for the economic buyer, one-to-one assets and account-level ads, and in-product or lifecycle touches to users already inside the account. The mix isn't uniform: one-to-one for ten strategic enterprise logos looks nothing like a one-to-few expansion play across a hundred existing customers with a single active seat. We pick the channels and tier model that fit your ACV, your PLG-versus-sales-led split, and your sales capacity — and drop the ones that just add cost.
- 04
Sales feedback loop
ABM is a marketing-and-sales motion or it's nothing, and in SaaS your sales and success calls are full of free committee intelligence: which competitor the account is switching from, which integration the platform owner asked about first, which security question stalled the deal, which seat is the expansion wedge inside an existing customer. We build the list and committee maps with your AEs and CSMs, review each cycle which accounts and threads moved, and feed it straight back into targeting and messaging — so the program engages the economic buyer and the technical veto, not just the friendly user who answered first.
- 05
CRM attribution
We instrument SaaS ABM at the account level in your CRM, not as signup or lead metrics — and we deliberately separate product-qualified usage from a sales-qualified account, so the committee around a user, not the user alone, is what we score. We track which accounts moved from cold to engaged, how many committee members each activated, how engagement maps to opportunities and expansion, and how ABM-touched accounts close versus the rest. That discipline is part of how we've tracked $30M+ in CRM-tracked, marketing-led revenue and 133% SQL growth in a single quarter — and how we tell you which logos are warming and which to drop.
Why XQL vs alternatives
Why XQL vs the alternatives
DimensionTypical approachThe XQL way
ABM platform / intent-data vendorSells a six-figure orchestration and intent suite, then leaves you to figure out the accounts, committee, content, and plays — and never touches the product-usage signals you already own.Runs a lean program on account selection, committee mapping, your own product and intent signals, credible content, and a tight sales-and-success loop, on the CRM you already have — software added only when it earns its cost.
PLG / product-growth team in-houseOptimizes for self-serve signups and activation because that's what the funnel rewards; has no concept of the committee, so it converts one user and never reaches the economic buyer or the technical veto.Builds the account-based layer the product funnel can't — names accounts, multi-threads the committee, and works expansion inside existing customers — reporting engaged accounts and ARR, not signups.
Lead-gen / paid agencyBuys leads and trials at a target cost-per and frames every high-intent account as a self-serve conversion, ignoring the whole room that signs an enterprise SaaS contract.Targets a named account list, engages the full committee, activates product signals, and reports account-level engagement and revenue in your CRM — accountable to accounts won, not leads collected.
Generalist marketing agencyRuns the same broad campaign for a dev shop and a dental app, with no read on SaaS ACV, PLG-versus-sales-led motion, technical evaluators, or how a software committee decides.Builds account-based programs specifically for B2B SaaS, using committee, product-signal, and tier patterns from 60+ engagements selling to technical and executive buyers.
Advisory-only consultantHands you an ABM strategy deck and a tiering framework, then leaves you to wire the product signals, research accounts, build content, run plays, and measure it.Owns the build and execution — list, product-signal triggers, research, content, multi-threaded plays, the sales-and-success loop, and account-level CRM measurement — not just the framework.
Commercial outcomes
Proof from the same playbook.
Strategy first, channels second, sales feedback always. We measure by the qualified demand and revenue we can trace back inside the CRM.
Selected results
Senior operators on every account. Never a junior pod.
Client signal
What B2B tech founders and CEOs say
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.
FAQ
Questions about this service.
Because signups and the accounts that move your ARR are two different games. Self-serve is great for the long tail, but your larger mid-market, enterprise, and expansion revenue closes through a buying committee, not a credit card. A signup tells you a user is interested; it says nothing about whether the economic buyer, the platform owner who can veto on architecture, and the procurement and security blockers around them have heard from you. ABM exists to win exactly those accounts: name them, multi-thread the committee, and measure engaged accounts and closed ARR. For high-ACV, committee-driven deals, a handful of the right accounts can outweigh thousands of trials — and they're the deals a product-led funnel was never built to win.
We treat your PLG funnel as a signal source, not a rival. Self-serve keeps acquiring the long tail; ABM sits on top for the accounts where concentrated ARR lives. The connective tissue is product data: when product-qualified usage shows up inside a target domain — active seats, a usage spike, trial activity from an enterprise account — instead of a single self-serve nudge, we trigger a committee-level play that brings in the economic buyer and technical evaluator around that user. So PLG surfaces accounts that are already warm, and ABM converts that warmth into a sales-led, multi-threaded deal. We keep them separate in the CRM, so product-qualified usage never gets mistaken for a sales-qualified account.
For a sales-led SaaS deal, four-to-eight people typically decide — the economic buyer who owns budget, the platform owner or technical evaluator who judges architecture, integration, and security and can veto on any of them, the end users who'll live in the product, and the procurement, security, and finance blockers who can quietly stall a signed contract over a SOC 2 or data-residency question. Multi-threading means engaging more of that room rather than betting on one product champion — reaching each role with relevant content, security and architecture proof for the evaluator, ROI and payback for the economic buyer. It's the single biggest reason ABM-touched deals stall less often in committee and in security review.
Yes — for SaaS it's one of the strongest signals available, and most teams leave it unused for ABM. Product-qualified usage (active seats inside a target account, feature adoption, usage spikes, trial activity from an enterprise domain) tells you an account is reachable now rather than someday, and it's data you already own. We wire those signals into account selection and play timing, so a heating-up account triggers a committee-level motion instead of an individual nudge, and blend them with external fit and intent — stack, hiring, funding, re-platforming — to prioritize the list. The discipline is to treat strong usage from one user as a reason to engage the committee around them, not as a deal that's already qualified.
Yes, and for many SaaS businesses it's the highest-leverage place to start, because net revenue retention now drives the valuation. Every existing customer with a single active seat, an unadopted module, or one team on the product is an expansion account that behaves like a new logo — a different budget, often a different economic buyer, frequently a new committee. We build expansion accounts into the list, map the committee for the next seat or team, work with customer success on the signals that mean an account is ready to grow, and run plays inward as deliberately as outward. Same discipline — name the account, map the committee, personalize for real, measure at the account level — pointed at ARR you already have a foot inside.
We measure at the account level and keep it honestly separate from signup metrics. From day one we instrument your CRM to track which named accounts moved from cold to engaged, how many committee members each activated, how engagement maps to opportunities and expansion, and how ABM-touched accounts close versus the rest — with product-qualified usage and sales-qualified accounts on separate lines so a trial count never gets dressed up as pipeline. We won't claim a single LinkedIn touch caused a deal, but we can show you, account by account, which companies are warming and how the program influences pipeline, win rate, and ARR. That discipline is part of how we've tracked $30M+ in CRM-tracked, marketing-led revenue.
No. ABM is about concentration and committee coverage, not budget size, and it's often the highest-leverage motion for a smaller team precisely because you can't afford to waste effort on accounts that will never reach a sales-led deal size. A lean program might run one-to-one against ten strategic logos, one-to-few across a couple of well-defined segments, and an expansion play across your best existing customers — all on the CRM and channels you already have, powered by the product signals you already collect. The discipline — name the accounts, map the committees, wire in product signals, personalize for real, track at the account level — is identical whether the list is ten accounts or two hundred. What changes is the tier model and how many you work at once.
Ready when you are
Let's talk.
Bring your offer, channels, and revenue goals. We'll show you where the biggest growth constraint is and what to build next.
Danylo FedirkoFounder
For B2B tech companies selling complex expertise to serious buyers.
- B2B tech clients
- 60+
- Revenue generated
- $30M+
