Service · Paid Ads for Sensing & Photonics Companies

Paid ads for sensing and photonics companies, run account-based and vertical, so your proof reaches the engineers who actually design you in.

Broad paid search wastes budget when your buyer is a specific perception or instrumentation engineer inside a known set of OEMs and integrators per vertical. The paid that works is account-based and technically credible: reaching named engineers with real performance proof, amplifying your test data and application content, and staying present across a long design-in cycle. We build and run that, vertical paid social, retargeting, event amplification, and the narrow high-intent spec search that exists, tied to target-account engagement and design-in conversations in your CRM, the discipline behind outcomes like Intelvision's 28.88x return on ad spend.

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%
  1. Vertical account-based paid social: LinkedIn and paid social targeted at your named target accounts per vertical and the specific perception, imaging, and integration roles inside them.
  2. Technical-content amplification: put your test reports, reference integrations, application notes, and technical webinars in front of the right engineers, because that substance is what they engage with, not a demo ad.
  3. High-intent spec-search capture: where it exists, precise paid search on part numbers, modality-plus-spec, and comparison queries, with negatives that keep hobbyists and students out.
  4. Long-cycle retargeting: sequenced retargeting that keeps your condition-stated proof in front of target accounts across the design-in cycle, building familiarity and credibility.
  5. Event and trade-show amplification: paid support around the industry events where sensing relationships are built, extending reach to the right accounts before and after.
  6. Technically credible creative and landing pages: assets that respect an engineer's intelligence and lead with real-world performance, not adjectives, so paid builds credibility instead of spending it.
  7. CRM and analytics instrumentation: target-account engagement, design-in conversations, and pipeline by account and vertical wired into your CRM, reported monthly, not cost-per-click.
How the system works

How the system works

  1. Diagnose the market

    We start from your named target-account list per vertical and the roles that decide, audit current spend against it, and find where budget leaks into broad, off-market clicks, grounded in field- and sales-engineering input on which accounts are in play.

  2. Compare against known B2B tech patterns

    We benchmark against the account-based B2B tech programs we run: which technical content engineers engage with, which targeting reaches real decision-makers, what account engagement is realistic, so the plan starts from evidence, not a broad-auction guess.

  3. Choose the right growth path

    We allocate budget by account value and vertical: which accounts and roles to reach first, which condition-stated content to amplify, how much to hold for long-cycle retargeting and events, and where SEO, AI Search, and ABM should carry the load.

  4. Build the paid system

    We execute, vertical account-based paid social, technical-content amplification, high-intent search, retargeting, and event support, and run it day to day: audience and budget management, creative iteration, and fast routing of engaged accounts to your field team.

  5. Optimize against CRM + sales feedback

    Every month we read the CRM, which accounts and campaigns produced engagement and design-in conversations, and we listen to field and sales engineers. Winning accounts and content get more budget, waste gets cut, and new technical angles get amplified. Paid becomes a managed account-engagement channel.

The XQL difference

Why XQL runs paid for sensing and photonics companies differently

  • 01

    Market memory

    We run paid for B2B tech companies and know that in a vertical, named-account, engineer-buyer market the winning approach is account-based and technically credible, not broad. We start from the targeting, technical content, and offers that reach real engineers inside real accounts, because we have learned what an engineer engages with and what they scroll past.

  • 02

    Faster diagnosis

    We audit your spend against your actual target-account list per vertical and the roles that decide, and find where budget leaks into broad, off-market clicks. Within weeks you have a plan that redirects spend toward reaching named accounts and amplifying condition-stated proof, not chasing a cheaper cost-per-lead in a market that is not there.

  • 03

    Smarter channel selection

    Paid here is a vertical ABM amplifier, not a standalone engine, and we run it integrated with your account-based motion, technical content, and events. Running the full stack, we sequence paid against SEO, AI Search, and ABM so it builds presence and credibility with target accounts while the compounding channels mature.

  • 04

    Sales feedback loop

    Your field and sales engineers know which accounts are in play per vertical, which engineers matter, and which real-world-performance objections stall a design-in. We feed that into targeting, creative, and the technical content we amplify, so paid reaches the right engineers with the proof that moves them.

  • 05

    CRM attribution

    We instrument paid end to end and report on target-account engagement, design-in conversations, and pipeline by account and vertical, tied to your CRM through the long cycle, not cost-per-click. That is how we have driven a 28.88x ROAS for Intelvision and booked qualified calls at $34 to $123.

Why XQL vs alternatives

Why XQL vs the alternatives

DimensionTypical approachThe XQL way
Traditional PPC agencyRuns broad paid search on category terms in a vertical, named-account market, and reports a cost-per-lead that means nothing for a design-in business.Runs vertical account-based paid against your named target list and reports target-account engagement and design-in conversations tied to your CRM.
Generalist marketing agencyApplies a SaaS demand-gen playbook, writes ads engineers ignore, and offers a demo the buyer never accepts.Runs paid as vertical ABM amplification and leads with condition-stated technical substance the right engineers engage with.
Freelancer / PPC contractorCan manage bids but cannot build the vertical account targeting, amplify technical content, integrate with events, and wire account-level CRM attribution.Runs the full account-based paid operation, targeting, content amplification, retargeting, events, and reporting, day to day.
In-house marketerOwns the budget but is stretched thin and lacks account-based paid benchmarks for a design-in market, so spend defaults to broad and leaks.Acts as the senior operating partner with account-based paid pattern recognition, focusing spend on the accounts that can design you in.
Broad demand-gen / do nothingEither wastes budget on a TAM that does not exist, or leaves target-account engineers to find you by luck.Puts your real-world proof in front of the exact engineers in the exact accounts, per vertical, persistently, across the cycle that matters.
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
  • $10Minbound pipeline per year

    Relevant Software

    Software development company · 3 years
    • $1M revenue/year
    • Cost per MQL & SQL halved

    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.
  • $5.5Mpipeline per year

    Confidential client

    Software development company · 3.5 years
    • 140 SQLs/year
    • $600K SEO revenue

    Ran the full marketing function for 3.5 years — 140 SQLs and ~$600K in revenue per year from SEO alone, plus 10 MQLs/month from LLM recommendations.

    ServicesFractional CMO · SEO · Appointment Funnels

    Their focus on results and true interest in making things work set them apart.

    — Content Manager
  • $1.8Minbound pipeline, built from zero

    WeSoftYou

    Software development company · 3 years
    • 100% YoY SQL growth
    • 207% traffic increase

    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.

    — Maksym Petruk, CEO & Founder, WeSoftYou
  • 28.88×return on ad spend

    Intelvision

    Staff augmentation company
    • $240K revenue from Meta
    • 5 deals in 12 months

    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.

    — Yurii Kotula, CEO, Intelvision
  • $2Min deals sourced from ChatGPT

    Computools

    Software development company
    • 2 enterprise deals from LLMs
    • 3-month engagement

    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.

    — COO, Computools
  • +1,413%organic traffic growth

    DBB Software

    Software development company · 3 years
    • 28 SQLs from zero
    • 3 deals won

    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.

    — Volodymyr H., COO, DBB Software
  • +500%more SQLs from organic

    Synebo

    Salesforce consulting company
    • 2.73× organic traffic
    • MQL→SQL 17% → 29%

    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.

    — Anna Senchenko, Marketing Lead, Synebo
  • more clients in 2024 vs 2023

    Cieden

    Product design agency · 9 months
    • 133% more SQLs/month
    • 2.4× organic traffic

    Restructured the marketing team and shifted to lead-driving SEO — doubling client count and growing SQLs 133% in nine months.

    ServicesSEO · Fractional CMO

  • 80%of service pages in Google's top 5

    Noltic

    Salesforce consulting company · 9 months
    • 20/25 pages top 5
    • First SEO deals closed

    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.

    — Anna Riabushenko, Head of Marketing, Noltic
  • 2,000monthly organic visitors, from zero

    Artkai

    Software development company · 9 months
    • DR 27 → 44
    • 50+ leads generated

    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.

    — Kos Chekanov, CEO & Founder, Artkai
  • 15×AI-assistant traffic growth

    Gapsy Studio

    Design agency · 3 months
    • +70% Google clicks
    • First SQLs from SEO

    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

  • 104appointments from paid

    Kitrum

    Software development company
    • 466 leads
    • $25.79 cost per lead

    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.

    — Lead of Marketing, Kitrum
  • $840customer acquisition cost

    Split Development

    Shopify development agency
    • 66 leads at $38 CPL
    • 3 deals in 4 months

    Built paid funnels from scratch — $2,522 in ad spend returned 3 signed clients and 66 leads at $38 CPL in under 4 months.

    ServicesMeta Ads · Fractional CMO

  • 4 clientswon in the first 3 months

    Hoverla Soft

    Software development company · 3 months
    • Marketing built from zero
    • ABM + social selling

    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.

    — CEO, Hoverla Soft
  • 1 dealclosed in a single month

    SolarSpark

    Game development studio · 1 month
    • Recommended by LLMs
    • 2 commercial keywords

    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.

    — CEO, SolarSpark
  • 100%AI-search placement success

    Baytech Consulting

    Software development company
    • 3 keywords, all LLMs
    • Deal from paid funnels

    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.

    — Partner, Baytech Consulting
  • #1AI recommendation in one month

    Opsworks

    DevOps company · 1 month
    • Recommended by major LLMs
    • 1 commercial keyword

    Positioned for an important commercial keyword and recommended by the major AI assistants within a single month.

    ServicesAI Search · AEO/GEO

  • 6 SQLsin year one, from scratch

    HBM

    B2B tech company · 1 year
    • 75 leads
    • 22 MQLs

    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

  • 3 opportunitiesin two months from ABM

    Riseapps

    Healthcare software company · 2 months
    • 13 ICP calls
    • 2-month sprint

    A targeted ABM campaign booked 13 conversations with ICP accounts and opened three opportunities in two months.

    ServicesABM

  • $34per booked intro call

    Gointeger

    Shopify development agency
    • Positioning + website
    • Booked-call funnel

    Repositioned the agency, revamped the site, and built appointment funnels that booked qualified intro calls at just $34 each.

    ServicesAppointment Funnels · Positioning · Website

  • $123per qualified ICP call

    Omisoft

    Software development company
    • 76 leads
    • 34 appointments

    A custom AI-assistant paid funnel produced 76 leads and 34 booked appointments at $123 per call with an ICP.

    ServicesAppointment Funnels · Meta Ads

  • 2 dealsfrom $42 leads

    Rizz Group

    AI video production company
    • $42.34 CPL
    • $1,482 spend

    Meta appointment funnels delivered 35 leads at a $42 CPL and closed two deals on modest spend.

    ServicesAppointment Funnels · Meta Ads

  • Your case could be next.

    Browse the full set of SEO and paid outcomes we’ve engineered.

    See all case studies
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.
Maksym PetrukCEO & Founder, WeSoftYou
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.
Kos ChekanovCEO & Founder, Artkai
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.
Yurii KotulaCEO, Intelvision
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.
Anna SenchenkoMarketing Lead, Synebo
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.
Volodymyr H.COO, DBB Software
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.
Anna RiabushenkoHead of Marketing, Noltic
They were not just talking about AI search in theory; they knew how to approach it practically.
SolarSparkCEO
What impressed us most was their deep specialization in working with software development companies.
Baytech ConsultingPartner
They've brought structure, strong execution, and constant initiative to improve outcomes.
KitrumLead of Marketing
They operated with the discipline and initiative of an internal senior marketer.
ComputoolsCOO
Their ability to combine strategic vision with hands-on execution was particularly valuable.
Hoverla SoftCEO
Their focus on results and true interest in making things work set them apart.
InoxoftContent Manager
XQL Group's project management was exemplary.
EcrivioHead of Operations
The quality of their work is consistently high.
DataPlumbersFounder
FAQ

Questions about this service.

More questions?

Bring your growth constraint to a call and leave with a plan.

Book a strategy call

Broad paid search does not, and it wastes budget, we agree. Account-based, vertical paid absolutely does. When your market is a known set of OEMs and integrators per vertical, paid social lets you put condition-stated proof in front of the specific perception and integration engineers inside those accounts, repeatedly, across the long cycle. It is not lead-gen; it is a way to build presence and credibility with the exact people who design you in, and to amplify the test data and application content that seeds design-ins.

By leading with substance, not a pitch. Engineers scroll past demo ads and adjectives, but engage with a genuinely useful technical asset, a test report, a reference integration, an application note, a technical webinar. So we use paid to amplify that real content to named accounts and roles, not to push a generic offer. The ad earns the click because it promises something an engineer wants, and it builds your credibility instead of spending it, the opposite of how generic paid lands here.

We start from your named target-account list per vertical and the specific roles that decide, perception, imaging, and instrumentation engineers, integrators, and technical leads, and target them on paid social by account and role. We layer in retargeting to stay present across the cycle and precise high-intent spec search where it exists. The whole approach is account-based and vertical, because that is where the sensing market actually is.

Through persistence and account-level attribution. Retargeting keeps your condition-stated proof in front of target accounts across the host product's development, building the familiarity and credibility a design-in requires, rather than expecting one click to convert. And we attribute paid to target-account engagement and design-in conversations in your CRM, by account and vertical, so a long cycle still shows paid's contribution. Judging it on cost-per-click would miss the point; judging it on account engagement and design-ins captures it.

Within the first months, measurable engagement from your target accounts, engineers consuming your amplified technical content, and early design-in conversations, plus captured high-intent spec search. The design-ins themselves land on the host product's cycle. We report on target-account engagement, design-in conversations, and pipeline by account and vertical, tied to your CRM. The underlying discipline produced a 28.88x ROAS for Intelvision; sensing outcomes track your design-in economics, which is why we report account-level leading indicators.

Because paid for a design-in business is account-based, vertical marketing, not bid management. A PPC specialist optimizes broad-auction clicks that barely exist in your market; we build account-based, vertical targeting, amplify the technical content engineers engage with, integrate with your trade shows and ABM, and attribute to design-in pipeline in your CRM. We run all of it as one system with a field-engineering feedback loop, so paid builds credibility and presence with the accounts that can actually design you in.

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+
Danylo Fedirko, Founder of XQL Group
Danylo FedirkoFounder, XQL Group
Let’s talk

Book a call with me.

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.

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