Your buyer already chose Salesforce, HubSpot, or Dynamics — they are choosing which certified partner to trust with a migration, an adoption rollout, or an integration without breaking their revenue operations. So the head terms are owned by the AppExchange, the Solutions Directory, and the global SIs, and a generic 'book a call' ad just rents you back demand the platform already controls. We run paid social (LinkedIn, Meta) and paid search as one engineered system: bidding the platform-comparison, migration, adoption, and build-vs-buy queries the directories ignore, reaching the RevOps champion and the economic buyer with creative that removes implementation risk instead of stacking badges, and tracking every euro to accepted SQLs and CRM-tracked revenue. Built on paid acquisition across 60+ B2B tech companies — including the Salesforce consultancy Synebo — and $30M+ in CRM-tracked, marketing-led revenue.
We start with your economics — average implementation value, the product clouds and verticals you win on, the split between project work and managed services, who sits on the buying group, and the procurement-heavy cycle — then audit any existing account for the classic CRM-consultancy leaks: budget on head terms the directories and SIs own, missing negatives pulling admins and tool-shoppers, badge-led creative that confirms you are interchangeable, weak tracking that loses deals in procurement and cannot separate owned demand from platform-routed demand. If paid is not the right first lever for your stage, we say so.
We hold what we find against patterns from 60+ B2B tech companies and our work with Salesforce consultancies — which channels and queries produce sponsor-ready implementation calls versus admin noise, what a realistic cost-per-accepted-SQL looks like at your project value, and how much demand is harvestable on search versus has to be created on LinkedIn. The plan starts from evidence and benchmarks, not platform best-practice that ignores how a CRM project clears procurement.
We commit to the channel mix and offers most likely to produce accepted, in-ICP opportunities first — usually LinkedIn precision on the RevOps and economic buyer plus a disciplined platform-comparison and risk-qualified search account, with Meta retargeting layered on for the procurement window — and deliberately skip a thin presence everywhere. Often the fastest win is abandoning the head-term auction entirely and reallocating that budget to product-cloud- and vertical-specific LinkedIn audiences the directories cannot crowd you out of, focused on the one or two clouds where your delivery is strongest.
We build paid as one engineered system — search and social accounts, buying-group audiences and negatives, risk-transfer offers and creative that removes the failed-implementation fear, conversion-led landing pages and a gated booking flow wired to your calendar and CRM, and CRM-grade tracking with procurement and security stages instrumented — so every lead is attributable and bids optimize to accepted SQLs. Then we launch and spend against cost-per-accepted-SQL with a testing plan running underneath.
Each cycle we combine CRM attribution with feedback from the people taking the calls: which campaigns became sponsor-ready implementation meetings, which produced free-advice seekers or DIY tinkerers, and why — by platform and project type. We cut the noise, scale what produces real project conversations, refine offers and creative, and keep growing the negatives. The account compounds because it is optimized against signed implementation engagements through procurement, not the platform's cost-per-click — and against demand you own, not demand the platform would have routed anyway.
We have run paid acquisition across 60+ B2B tech companies and 9+ years marketing technical-services firms — including Salesforce consulting partners — so we do not guess what a CRM-implementation buyer clicks. We know head-to-head bidding on 'Salesforce consultant' loses to the AppExchange and the global SIs, that the money is in platform-comparison, migration, adoption, and vertical-cloud queries plus precise LinkedIn audiences, and that a risk-transfer offer out-pulls a badge wall every time. We took Synebo, a Salesforce consultancy, to 500% more SQLs and 2.73x organic traffic, #1 on Google with no link-building.
Before scaling spend we name why the account underperforms against this category's specific failure points: budget bleeding into head terms the directories and SIs own, targeting pulling admins and tool-shoppers instead of RevOps deciders, badge-led creative that confirms you are interchangeable, or a 'book a call' offer that ignores the failed-implementation fear under the deal. Most agencies discover the leak after a quarter of rising cost-per-lead. We usually find it in the first weeks — and tell you if paid is the wrong first lever for your stage rather than bill you to scale a leak.
Paid search and paid social do different jobs here. Search captures buyers mid-decision — but only on platform-comparison and risk-qualified terms ('Salesforce vs HubSpot for [industry],' 'how to migrate CRM data without losing pipeline,' 'why CRM adoption fails'), never the head terms the platform's directory owns. LinkedIn is usually the workhorse: it targets the RevOps and ops-leadership champion and the economic buyer by vertical, company size, and the product cloud you implement. Meta earns its place retargeting the long evaluation and procurement window. We weight the mix to your product-cloud focus, deal size, and the split between project work and managed services — and sequence paid against your SEO and AI Search so the channels do not double-buy the same branded click.
The people who know whether a paid lead was a real implementation opportunity are your delivery leads and founder — not the ad platform, which cannot tell a RevOps leader mid-migration from an admin collecting quotes. So each cycle we sit with them: which campaigns produced sponsor-ready meetings, which produced free-advice seekers or DIY tinkerers, which 'fit' clicks could never sponsor a project through procurement, and what the deals that closed shared — by platform, vertical, and project type. That feeds straight back into targeting, bids, offers, and negative lists, so the account sharpens on booked implementation revenue rather than the cost-per-click the platform optimizes toward by default.
Every euro is tracked in your CRM from ad click to booked call to accepted SQL to signed project and revenue — segmented by platform, product cloud, and project type, and with procurement and security review as discrete tracked stages, because that is exactly where CRM-implementation deals quietly stall weeks after the marketing touch that surfaced them. Crucially, attribution also separates demand you own from demand the platform routed, so you can see what paid actually created versus what the AppExchange would have handed you anyway. That discipline sits inside the $30M+ in CRM-tracked, marketing-led revenue and 133% SQL growth per quarter we have generated for B2B tech.
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.
ServicesFractional CMO · SEO · Demand Generation · Paid Ads
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.
ServicesAI Search · Fractional CMO · Meta Ads
“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.
ServicesFractional CMO · SEO · AI Search · Meta Ads
“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%.
ServicesSEO · Content Marketing
“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.
ServicesSEO · Fractional CMO
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.
ServicesSEO · Fractional CMO · Content Marketing
“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.
ServicesSEO · AI Search
Meta appointment funnels at scale — 466 leads and over 100 booked sales conversations from a single paid channel.
ServicesAppointment Funnels · Meta Ads
“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.
ServicesFractional CMO · ABM · LinkedIn
“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.
ServicesAI Search · Appointment Funnels
“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.
ServicesAI Search · AEO/GEO
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.
ServicesFractional CMO · GTM Strategy · Appointment Funnels · AI Search
A targeted ABM campaign booked 13 conversations with ICP accounts and opened three opportunities in two months.
ServicesABM
Repositioned the agency, revamped the site, and built appointment funnels that booked qualified intro calls at just $34 each.
ServicesAppointment Funnels · Positioning · Website
A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.
ServicesAppointment Funnels · Meta Ads
Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.
ServicesAppointment Funnels · Meta Ads
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.
We stop fighting an auction the platform itself controls. The broad head terms are dominated by the AppExchange, the Solutions Directory, and the global SIs that outspend you many times over — and much of that intent is demand the platform generates and routes through its own AE anyway, so you pay premium clicks for buyers who were never fully yours. Instead we go narrower and sideways: platform-comparison, migration, adoption, and build-vs-buy queries they overlook ('Salesforce vs HubSpot for [industry],' 'how to migrate CRM data without losing pipeline,' 'why CRM adoption fails'), aggressive negatives to strip out admin how-tos, 'what is a CRM,' and certification-exam searches, and — usually the bigger lever — LinkedIn targeting the RevOps champion and economic buyer for your product cloud and vertical, where your differentiation lands and a directory's ranking advantage does not.
Lead quality is an optimization-target problem, not a volume problem. Most accounts are tuned to cost-per-lead, so the platform faithfully delivers the cheapest, least-qualified clicks — for a CRM consultancy that means admins, DIY teams, and free-advice seekers comparison-shopping a tool they already bought, not RevOps leaders mid-migration with budget. We re-point the system at fit: narrower targeting by product cloud, vertical, and the real buying-group roles, negatives that exclude admin tutorials and exam searches, risk-led offers that do not appeal to someone gathering free advice, and a booking flow gated on company size, platform, project intent, and timeline so unqualified inquiries self-select out before a closer's calendar. Then each cycle we review with your delivery team which calls were real implementation opportunities and feed that back into bids and audiences.
Because platform- and directory-sourced leads are real revenue, but they are rented, not owned — the platform decides who gets the referral, co-sells on its terms, and can deprioritize you overnight when a partner manager changes. Paid is one of the ways you build demand you control, so a routing change does not empty your quarter. The discipline that matters is attribution: we instrument the CRM to separate paid-created pipeline from demand the platform would have routed anyway, so you can see what paid actually generated and pursue the deals the platform never hands you — instead of paying for clicks on intent the AppExchange already owns. The platform relationship stays running as one channel; paid builds another you own.
That is exactly why most CRM-consultancy paid programs fail — a badge wall is invisible, because to the buyer Diamond, Crest, Summit, and Elite read as table stakes, not differentiation. We build around the fear under every CRM deal instead: the botched data migration, the integration that never syncs, the customization that calcifies into technical debt, and the quiet killer of low adoption. Creative and offers lead with the proof most partners bury — a zero-downtime migration, adoption lifted from 30% to 90%, the integration the buyer is worried about made to work, named-client outcomes on their product cloud and in their vertical — plus a risk-led offer like a migration-readiness audit or a build-vs-buy teardown they can test you on. The bar: a buyer reads it and thinks 'these people will not break my revenue operations,' not 'another certified partner.'
Both, and they are connected. Past a certain project size the people who can stall or kill the deal are procurement and security — and the platform's AE often influences which partner gets the warm introduction — so paid does two things: on LinkedIn we reach the RevOps champion and the economic buyer with proof they can wield internally (migration safety, adoption evidence, references the AE can stand behind), and in the CRM we instrument procurement and security review as discrete tracked stages. That matters because over a procurement-heavy cycle paid's influence is easy to lose in exactly that gap, and the gap is where budgets get cut. We ignore the platform's inflated conversion claims and report against the CRM, so you can show cost-per-accepted-SQL and implementation revenue by campaign, platform, and vertical — the same discipline behind the $30M+ in CRM-tracked, marketing-led revenue we have generated.
Yes, and running them as one 'book a call' objective is a common mistake that starves the recurring revenue. Implementation buyers are choosing a one-time partner under risk; managed-services and optimization buyers are choosing an ongoing relationship — different triggers, different offers, different proof. We separate the campaigns: risk-transfer offers and migration/adoption proof for the project motion, retainer- and outcome-led offers for the managed-services motion, each with its own audiences and landing experience, and both instrumented to one CRM-attributed revenue line so you can see which mix actually compounds — instead of optimizing only for the next lumpy project and under-marketing the recurring revenue that builds enterprise value.
For the Salesforce consultancy Synebo we drove 500% more SQLs and 2.73x organic traffic, ranking #1 on Google with no link-building, as organic and demand compounded together. For Split Development we ran developer-focused ads that generated 66 leads at a $38 cost-per-lead with a 34% lead-to-meeting rate, booking qualified projects and winning three deals — paid engineered to accepted conversations, not cheap clicks. Your numbers depend on product cloud, project value, and cycle, but the method is the same across our 60+ B2B tech clients: bid the platform decision the directories ignore, qualify out the admins, lead with implementation-risk transfer, and track every lead to a signed project in the CRM.
Setup — ICP and buying-group definition by product cloud, account build, risk-transfer offers and creative, the gated booking flow, and CRM tracking with procurement stages — takes a few weeks, and the first qualified calls come soon after launch, though the deals close later because of the procurement-heavy cycle. Paid is the fastest lever to turn on, but it works best as one layer: paid rents in-market reach now while SEO and AI-search optimization build the lower-cost demand you own and compound underneath it — the Synebo-style rankings on platform-comparison, migration, and adoption queries, and the AI-answer placements where XQL clients are currently recommended about 80% of the time, exactly as buyers start asking ChatGPT and Perplexity for the best implementation partner before they open the directory. For most CRM consultancies the highest return comes from running paid against that backdrop, which is why this page links to our broader B2B tech paid, SEO, and AI Search services.
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.
