SaaS Performance Marketing Agency in US, UK, India & EU
Trusted by 150+ B2B SaaS Teams Globally

B2B Performance Marketing Agency That Helps You Build Predictable Sales pipeline.

Most B2B SaaS companies burn $5K–$20K/month on ads and get a CPL report instead of demos. We run Google, LinkedIn and Meta as one ABM-first engine — targeting the exact accounts you want to close.

ABM paid pipeline funnel sketch
355%
MQL increase
−41%
CPL reduction
Avg. ROI

150+ B2B SaaS clients · trusted across the stack

The problem

Founders don't have a budget problem.They have a wiring problem.

Here are the four challenges we hear in every discovery call with a SaaS founder — and exactly how we fix each one.

Founder says…

“Our CAC keeps climbing but pipeline isn't.”

The problem

Targeting demographics, not accounts

Going after 'Marketing Manager' on LinkedIn reaches thousands at companies that will never buy. That's guesswork dressed as strategy.

The fix

Named account lists, not audience segments

We build a list of the exact companies you want to win — filtered by size, industry, tech stack and intent — and run campaigns exclusively to them.

Founder says…

“Each channel reports its own win, but pipeline is flat.”

The problem

Channels running in isolation

Google doesn't know who engaged on LinkedIn. Retargeting pools are anonymous. Nothing shares signals — CPL compounds upward.

The fix

One shared signal layer across every channel

Ad clickers feed outreach. LinkedIn engagers become Google audiences. Email openers get retargeted on Meta. Every touchpoint informs the next.

Founder says…

“Our MQL count looks great. Sales says they're junk.”

The problem

Optimising for leads, not pipeline

Form fills from SDRs, curious competitors and job seekers inflate the report. It looks good. It closes nothing.

The fix

Tracked from click to qualified demo

We optimise for qualified demo bookings, not conversions. Every campaign maps to pipeline contribution — not vanity metrics.

Founder says…

“We tried agencies. They burned 3 months and disappeared.”

The problem

No accountability past the dashboard

Generalists juggling 20 accounts, no dedicated POC, decisions buried under monthly PDFs. You're left interpreting charts.

The fix

One dedicated POC, weekly cross-channel reviews

A single owner across Google, LinkedIn and Meta. Weekly performance updates. Bi-weekly strategy calls. You always know where the dollar went.

The mechanism

How signals build pipeline

This is why a connected engine outperforms four isolated campaigns. Watch what happens when the channels start talking to each other.

🔍 GOOGLE SEARCH High-intent buyers 💼 LINKEDIN ADS ICP + ABM targeting 🔄 META RETARG. Lowest CPL channel 🎯 ABM ACCOUNTS Named target list SIGNAL LAYER MQLs 0 DEMOS 0 PIPELINE $0
Stage 1 of 4
Building the foundation
Week 1 is setup: ICP alignment, account list build, creatives, copy, and tracking. No campaigns live yet — this week exists so Month 1 doesn't get wasted.
High
CPL
0
MQLs/mo
ROI
The channel strategy

Each channel earns its place.Here's why it's in the stack.

This isn't about running everything — it's about how each channel captures a different type of intent and feeds that signal to the others.

Google Search

Bottom of funnel

Captures buyers already in-market — actively searching your category, comparing competitors, researching their pain. Highest purchase intent in the stack.

Signal it feeds →

Search clickers → LinkedIn + Meta Custom Audiences. Query data shapes outreach copy and LinkedIn ad messaging.

Google Demand Gen + PMax

Top of funnel

Reaches in-market buyers across YouTube, Discover and Gmail before they search. Demand Gen seeds awareness; PMax retargets warm intent across every Google surface.

Signal it feeds →

View-through engagers → Search remarketing pools. PMax conversion data sharpens Demand Gen creative selection.

LinkedIn Ads + InMail

Mid funnel · ABM

The only paid channel with true B2B precision — filter by job title, seniority, company size and industry simultaneously. Reaches decision-makers at named accounts before they start searching.

Signal it feeds →

LinkedIn engagers → Google + Meta Custom Audiences. InMail acceptors → warm sequences. Engagement refines persona fit.

Meta Retargeting

Re-engagement · Lowest CPL

The most underused channel in B2B paid. 5–10% of total budget, but consistently the lowest CPL — because it only runs to warm audiences. Keeps you top-of-mind between Google and LinkedIn touchpoints.

Signal it feeds →

FB/IG engagers → Google Custom Audiences. Lookalikes built from converted customers self-replenish as conversions grow.

ABM Account Targeting

Top → Bottom · Account-level

Not audiences — named companies. We build a list of 300–1,000 specific accounts and run dedicated campaigns per persona within each. The difference between 'HR professionals' and the VP of HR at your 200 dream accounts.

Signal it feeds →

Account engagement flows across all platforms simultaneously. Buying-committee members are mapped and retargeted individually on Google, LinkedIn and Meta.

Why this takes time

Most companies quit right before the engine starts running.

" Let's try it for a month and see if it works.

Every lead who says this is asking to run a marathon and stop at kilometre 2. The algorithm needs 5–10 days just to exit the learning phase. Your first qualified leads appear at end of Month 1 — earliest. What looks like "not working" in Week 3 is the engine doing exactly what it's supposed to do.

MQL Pipeline
Cost Per Lead
1
Week 1
Foundation
2
Week 2+
Launch & Learning
3
Month 2
First Real Data
4
Month 3
Optimise & Compress
5
Month 4–6
Compounding
What the data shows across clients
Q1 — Month 1–3
1.4x ROI
Learning phase · Signal build-up · CPL beginning to compress
Q2 — Month 4–6
3x ROI
Engine compounding · Lookalikes live · CPL at its floor
This is why we ask for 3 months minimum. The engine pays for itself — but not in Week 2.

Who's working on your account

Not one generalist. A full dedicated team behind every campaign.

What's covered

Every task below is handled for you — creative, copy, media buying, and reporting. All owned by one dedicated POC, no freelancers to manage.

Google Campaigns

  • Search + Display campaigns
  • Performance Max retargeting
  • Demand Gen for top of funnel
  • Keyword & negative keyword research
  • Daily bid optimisation
  • Competitor conquest keywords

LinkedIn Campaigns

  • Sponsored Content campaigns
  • InMail campaigns
  • ABM account + persona targeting
  • Audience build & monthly refresh
  • Engagement retargeting

Meta Retargeting

  • Facebook + Instagram ads
  • Retargeting warm audiences only
  • Lookalike audiences from customers
  • 5–10% of total budget allocation
  • Lowest CPL channel in the stack

Creative & Copy

  • Image, carousel & video ads
  • Multiple copy variants per channel
  • A/B tested continuously
  • Persona-specific messaging
  • Unlimited iterations in-campaign

Reporting

  • Monthly CPL · ROAS · MQL report
  • Weekly performance update
  • Pipeline contribution tracking
  • Cross-channel attribution view
  • Budget reallocation recommendations

Team & Process

  • One dedicated POC owns everything
  • Onboarding included · live in 1–2 weeks
  • 3-month minimum · 30-day exit
  • No equity · no lock-in after Month 3
  • Ad spend billed directly to you
For the full engine →

Paid Performance Marketing + Cold Outreach

Every ad backed by email. Every email amplified by an ad. 3–4× the pipeline of either channel alone.

Real results

From companies that stayed through the learning phase.

Case study

Visitly

Visitor Management SaaS · USA

Google Ads ABM Retargeting
+355% MQL increase
−41% CPL reduction
Demos / mo
Challenge

Visitly had strong product-market fit, but paid acquisition lacked structure. High CPLs, low demo conversion rates, no landing pages, and minimal campaign history made scaling difficult.

What we did

Built segmented Google Search campaigns around pricing, competitors, and feature intent. Introduced ABM-style audience layering, optimized landing pages for demo bookings, and launched retargeting after warm audience pools matured.

Outcome

+355% MQL growth with a major drop in CPL. CTR improved from 8% to 24%, while demos scaled consistently through conversion-focused campaign restructuring.

Case study

AIO Tests

QA Testing SaaS · Global

Google Search Remarketing
+223% Conversion rate growth
−96% CPA reduction
17.4% CTR achieved
Challenge

AIO Tests struggled with extremely high CPCs in core regions, poor attribution visibility, and friction-heavy lead flows that reduced install intent.

What we did

Removed unnecessary lead forms, redirected users directly to Atlassian Marketplace flows, implemented install attribution with Usermaven, and rebuilt campaigns around high-intent testing keywords and competitor targeting.

Outcome

CTR scaled from 5.37% to 17.41% while cost per conversion dropped from ₹1.2K to ₹36.67. The campaigns generated significantly more installs with stronger attribution visibility and lower acquisition costs.

Case study

Dakini

AI Agent Platform · India

Google Ads Meta Lead Gen
700+ High-quality leads
43.8% Google conversion rate
−33% Meta CPL reduction
Challenge

Dakini entered a crowded AI market without historical ad data, dedicated landing pages, or validated positioning for AI agent solutions.

What we did

Launched awareness campaigns across Google, Meta, and LinkedIn, then shifted aggressively toward AI-agent-focused messaging after identifying stronger demand signals. Built dedicated landing pages aligned to use cases and buying intent.

Outcome

Generated 700+ high-quality Meta leads and achieved a 43.86% Google Ads conversion rate. Campaign performance validated strong market demand and helped build a multi-month sales pipeline.

Case study

Roots HCM

HR SaaS · North America

Google Ads Meta Retargeting
9 SQLs generated
−44% CPC reduction
4.12% CTR achieved
Challenge

Roots was running underperforming in-house campaigns with low CTRs, poor optimization, weak landing pages, and expensive, low-quality leads.

What we did

Rebuilt the acquisition funnel from scratch using landing page optimization, A/B-tested creatives, regional targeting, retargeting flows, and structured MQL-to-SQL campaign sequencing.

Outcome

Generated 58 leads with 46 MQLs and 9 SQLs in just 3 months. CPC dropped significantly while CTR improved from 1.5% to 4.12% through funnel-driven optimization.

Case study

FlowRad.ai

AI Radiology SaaS · India

Google Ads LinkedIn Lead Gen
130+ High-quality leads
60 days Launch-to-pipeline
53 Google-qualified leads
Challenge

FlowRad entered the healthcare AI market without prior paid acquisition data, structured landing pages, or validated messaging for radiologists.

What we did

Built use-case-focused landing pages, launched multi-platform PPC campaigns, and refined audience targeting across Google, Meta, and LinkedIn based on lead quality and CPL performance.

Outcome

Generated 130+ high-quality leads within the first 60 days of launch. Google delivered the strongest lead quality, while LinkedIn campaigns helped validate audience segmentation strategies.

Case study

Upvoit

Field Service Management SaaS · Australia & USA

Meta Ads Lead Generation
110+ Meta leads generated
196K+ People reached
Campaign phase expansion
Challenge

Upvoit lacked market awareness, conversion-focused infrastructure, and audience clarity in highly competitive FSM markets.

What we did

Started with Meta awareness campaigns to build visibility, then transitioned into instant-form lead generation and website conversion campaigns optimized around high-performing audience segments.

Outcome

Generated 110+ qualified Meta leads while reaching nearly 200K users across target regions. Instant-form campaigns became the highest-performing acquisition channel during the scaling phase.

Is this right for you?

Built for one type of company.Honest about the rest.

Right fit

  • B2B SaaS company · 1–100 employees
  • Monthly ad budget of $3K–$50K (you own it directly)
  • Defined ICP — you know who you're selling to
  • Measuring success in demos and pipeline, not impressions
  • Founder, CMO, VP Marketing or Head of Growth who wants a partner
  • Willing to commit 3+ months — you understand the compounding timeline

Not the right fit

  • E-commerce, D2C or non-SaaS businesses
  • Under $2K/month ad budget — not enough signal to optimise
  • No ICP clarity — campaigns can't be built without a defined target
  • Looking for guaranteed leads with a 30-day trial mentality
  • Wanting to run a single channel in isolation, no cross-channel signals
FAQs

Questions founders always ask.

If yours isn't here, the audit call is the fastest way to a straight answer.

No. Your ad spend goes directly to the advertising platform. We charge a separate management fee, so you have full visibility into where your budget is being spent.
The right budget depends on your goals, industry, and target market. In most cases, we recommend starting with a monthly ad spend that gives campaigns enough data to optimize and scale effectively.
Most campaigns can go live within 1 to 2 weeks after onboarding, depending on tracking setup, creative approvals, and platform access.
Performance marketing needs time to collect data, test creatives, optimize targeting, and improve conversion efficiency. Early weeks focus on learning and validation, while stronger and more consistent results typically build from Month 2 onward.
Yes. We can manage performance marketing as a standalone service. However, combining it with landing page optimization, CRO, or SEO often improves overall campaign performance and ROI.