Built for Technology & SaaS Brands That Have Outgrown Their Last Paid Marketing Agency.
The SaaS and enterprise tech brands hitting 6x–8x ROAS aren't bidding higher — they're capturing intent more precisely, layering first-party audiences, and converting the traffic that's already paying to arrive. In San Francisco's $2.1 trillion tech economy, bid smarter or watch budget evaporate.
8 of our last 10 technology & saas clients saw measurable organic growth within 6 months
We do our best work for one kind of client.
Not every brand is the right fit for how we work. Here’s how to tell if you are.
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EQUALLY IMPORTANT
We are probably not the right fit if...
You need results in 30 days. Paid Marketing doesn't work that way, and anyone who says it does is lying to you.
You want to own the strategy internally and outsource only execution. We work as strategic partners, not vendors.
Your budget is under $2,000/month. We can't do our best work at that level.
The brands we work best with are past the “let’s try Paid Marketing” phase. They know it works. They want it done properly.
San Francisco technology & saas is a different game.
We’ve run Paid Marketing here. We know what it takes.
San Francisco tech companies waste $4.7M per year on unoptimised Google Search campaigns with CPCs averaging $38–$127 per click
San Francisco's technology sector — spanning SoMa, the Financial District, and Mission Bay — generates the highest cost-per-click (CPC) advertising market in North America. Enterprise SaaS, AI infrastructure, fintech, and cybersecurity companies compete for the same keywords, pushing average CPCs to $45–$95 for branded terms and $55–$127 for high-intent category keywords. Yet 71% of San Francisco tech companies running Google Ads operate with uncapped broad match, no account-based marketing (ABM) audience layering, and no first-party intent signal integration — creating a market where budget scales faster than qualified pipeline. The brands winning in San Francisco paid media aren't outspending competitors in a race to the top; they're outstructuring them with precision targeting, intent verification, and lead quality filters that other agencies skip.
The 3 places San Francisco technology & saas brands leave revenue on the table
Every engagement starts with a structured audit. These patterns show up in 9 out of 10 technology & saas brands we assess — regardless of size or previous agency history.
Don’t take our word for it.Here’s what we actually delivered.
Google Search spend was up 40% YoY but pipeline growth was flat. LinkedIn seemed to work but SDR team couldn't verify if leads were from target accounts. No connection between paid traffic and closed deals.
Implemented reverse-IP account identification and synced every Google and LinkedIn click to company-level sales data — revealed that 58% of Google Search spend was reaching non-target accounts or people who never engaged post-click
— Sarah M.
Director of Demand Generation, SoMa SaaS Company
Read the full case study →BEFORE → AFTER
Google Search ROAS · BEFORE
1.9x
Google Search ROAS · AFTER
6.8x
You shouldn’t have to wonder what your agency is doing with your money.
Every Friday, you get a Loom from your strategist. Not a report — a walkthrough. What changed, what we’re doing about it, what to expect next week. Several clients have told us it’s the first time Paid Marketing has ever made sense to them.
From audit to measurable growth, step by step
Within 4–5 months, San Francisco tech clients typically reach 5–8x ROAS on Google Search (with reduced CPC through precision targeting), move 35–50% of LinkedIn budget to true ABM, and establish clear attribution linking paid channels to closed deals — enabling profitable scaling even in a $95+ CPC market.
Paid Media & Sales Data Audit
We audit your Google Search, LinkedIn, and display campaigns alongside your sales data — mapping which traffic sources actually generate MQLs, SQLs, and closed deals. We identify the keywords, accounts, and audiences producing real pipeline vs. vanity metrics.
First-Party Intent Infrastructure
We implement customer data platform (CDP) integration, server-side conversion tracking, and reverse-IP account identification — so every click is tagged with account ID and intent signals. This is the foundation of precision targeting in a high-CPC market.
Account-Based Marketing (ABM) Foundation
We build account lists (target, engage, expand) and create audiences in Google and LinkedIn. High-intent accounts get maximum bid and creative focus; lower-intent accounts are bid down or excluded. This turns paid media from a lead funnel into a precision pipeline generator.
Campaign Restructure & Keyword Strategy
We rebuild Google Search around intent tiers — brand (your company), category (your space), competitor (their space), and problem-focused (pain points). Each tier gets its own bid strategy and audience layering. LinkedIn gets rebuilt as ABM-first, with display remarketing targeting accounts in active buying windows.
Monthly Pipeline Attribution & Scaling
We report on true pipeline contribution (not just ROAS), SQL conversion rate by traffic source, and revenue-influenced attribution. Monthly budget allocation is based on which channels source the highest-velocity deals, not platform metrics.
The honest difference
We’re not going to call other agencies bad. We’ll just be clear about how we’re structured differently — and let you decide what matters.
| Omakaase | What we hear from most agencies | |
|---|---|---|
| Contracts | ✓ Month-to-month. Walk away any time. | 12-month minimum (standard) |
| Who's on your account | ✓ Senior strategist. Doesn't rotate. | Account manager, often junior, rotates 6–12 months |
| Reporting cadence | ✓ Weekly Loom video + live dashboard | Monthly PDF report |
| Attribution model | ✓ Revenue-connected from Day 1 | Rankings + traffic only |
| Cost transparency | ✓ You see where every dollar goes | Black-box retainer |
What this typically looks like for a San Francisco technology & saas brand
The median technology & saas client after 6 months
See how your San Francisco tech company's paid media performance compares to top-performing SaaS and enterprise brands — with the exact ABM strategies, CPC benchmarks, and ROAS targets we see across our San Francisco tech portfolio.
Median result across 12 technology & saas Paid Marketing case studies. Results vary based on domain authority, competitive set, and existing traffic baseline.
“Finally, an agency that talks about margin, not clicks. They restructured our bids around profit contribution and our actual numbers improved within six weeks.”
Tom B.
Founder · E-commerce, $5M revenue
“Google Ads was our biggest cost centre. It's now our highest-margin acquisition channel. That shift took about four months and a complete rethink of how we attributed value.”
Lisa W.
CEO · Retail Brand, $9M revenue
“The attribution model they built showed us that 40% of our paid conversions had an organic first-touch. We restructured the whole channel mix based on that one insight.”
Chris M.
CMO · Finance Brand
The questions founders actually ask us
Not the FAQ we wrote. The questions from real first calls.
How much should a San Francisco SaaS company spend on paid media?
A meaningful paid programme in San Francisco's high-CPC market starts at $15,000–$25,000/month. Below that, you can't gather enough data to optimize account-based targeting or attribution properly. Most of our San Francisco tech clients scale to $35k–$85k/month within 6–8 months as ABM targeting improves ROAS.
Is Google Search or LinkedIn better for B2B SaaS lead generation?
Both serve different roles. Google Search captures people already searching for solutions — high intent but potentially low account fit. LinkedIn reaches your target accounts with precision — lower immediate intent but higher account quality. Top San Francisco SaaS companies split roughly 55% to Google, 35% to LinkedIn, 10% to display remarketing, adjusting by sales cycle and deal size.
What is account-based marketing (ABM) and why does it matter for San Francisco tech?
ABM is targeting specific accounts instead of broad audiences. In San Francisco's crowded SaaS market, ABM lets you focus your $95+ CPC spend on the 50–200 accounts you actually want to win, with higher bids and custom creative — instead of bidding against enterprises with 10x your budget for generic traffic. ABM cuts wasted spend by 35–50% and increases deal velocity 2–4x.
How do you connect paid media to revenue for long sales cycles?
We build a pipeline attribution model that maps every paid click through to MQL, SQL, opportunity, and closed deal — accounting for 6–12 month delays. We use first-party CRM data, reverse-IP account matching, and multi-touch attribution. This lets you see which paid channels source your highest-velocity deals, not just which ones generate cheap clicks.
Can you manage paid media for a Series A company with a small marketing budget?
Yes — if you can commit $15k+/month to paid and have clear ICP definition and sales process. We've worked with 15-person Series A companies profitably. The key is ruthless audience focus — better to dominate spend on 40 target accounts than distribute it across 1,000 generic companies.
FREE · NO COMMITMENT · 48HR TURNAROUND
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