Marketing thatturns trialsinto MRR.

Technology & SaaS Marketing Agency

Watch the trial that invited two teammates, opened pricing twice, then went quiet: it is the best pipeline you have, and most SaaS teams route it nowhere. So we wire the usage signals into a ranked sales queue and branch onboarding email on what the user did. One AI content-review platform went from $12K to $208K MRR in six months.

Get my SaaS growth plan See the results

Talk to us

Let's talk about your market

No long-term contracts. Free audit to start.

Minimal modern workspace at dusk: long shared desk by a floor-to-ceiling window over a city, one laptop open glowing softly, warm and blue balanced

Proof

Results, measured in the metrics your board reads

MRR, churn, and response time, in the clients' own numbers. Read the full case studies.

B2B SaaS

Shoppable Video Platform

$12K → $208K

MRR in six months

An AI content-review platform with a working product and a flat growth curve. ROI-first positioning, 50+ bottom-funnel content pieces, and multi-touch attribution took MRR from $12K to $208K in six months, $2.5M ARR, on a $150K budget.

Read the case study

Customer Experience

Pelagic Search

8.2% → 4.5%

Monthly churn, 18 weeks

With median NRR at 101%, retention is marketing work. A rebuilt onboarding flow and lifecycle automation cut monthly churn from 8.2% to 4.5% in 18 weeks, lifted six-month retention 60%, and halved time-to-first-value.

Read the case study

Operations

Moniveo

48h → 5min

Lead response time

An AI automation platform with the same routing problem every PLG sales-assist motion has: qualified leads going stale in a queue. Scoring and automation cut response from 48 hours to 5 minutes at 92% accuracy.

Read the case study

What makes Technology & SaaS different

The numbers a SaaS plan has to clear

Median B2B SaaS net revenue retention fell to 101% in 2025, and median CAC payback stretched to roughly 18 months (Benchmarkit). Finance still reviews budgets on a 12-month horizon. That gap is the whole problem. Non-branded Google clicks cost 29% more than a year ago and get clicked 26% less. Half of software buyers, 51%, now open an AI chatbot before a search box, and G2 and Capterra hold the SERP for most '[category] software' queries.

What we hear

Four things we hear before we hear anything else

Complaints from founders and heads of growth, and the part of the funnel each one points at.

“Signups are up and revenue isn't moving”

The median free-to-paid rate is 8%, and 43% of SMB churn lands in the first 90 days. The leak sits between signup and activation, not in the ad account. Our email work branches on product behavior: a stalled user gets the nudge toward the aha moment, an activated one gets the upgrade path.

Email Marketing

“Google Ads costs more every quarter and converts worse”

Non-branded B2B clicks rose 29% in a year while click-through fell 26%, and pricing-intent terms now clear $50. We pull paid ads back to competitor, pricing, and category keywords, then match each landing page to the motion behind it, trial or demo, so payback holds.

Paid Ads

“ChatGPT recommends our competitors and skips us”

51% of software buyers now start research in an AI chatbot, and 69% have changed vendors based on what it told them. The SEO fix is mechanical: comparison pages, structured data, and review signals, all server-rendered, because the crawlers that build those answers do not run JavaScript.

SEO

“Product-qualified leads sit in a queue until they go cold”

Usage is the only honest buying signal in a self-serve product, and most teams have nowhere to put it. AI automation scores it as it happens and hands sales a ranked queue. The follow-up lands while the trial is still open.

AI Automation

What we do

Five services, priced in trial math

Payback windows, churn cohorts, and the fight for the review-site SERP. Each service below is scoped against those, not against a tier.

Web Development

A SaaS marketing site earns its keep on one path: signup. We build Next.js sites with sub-second loads, pricing pages engineered around the trial-versus-demo split, and programmatic templates for comparison, alternatives, and integration pages. Schema markup ships with every page, and the UTM-to-CRM-to-product-analytics handoff stays clean. A $50 pricing-query click deserves a page built for exactly that click.

SEO

The queries worth owning have a purchase behind them: '[you] vs [competitor]', '[competitor] alternatives', and the '[category] software' pages where G2 holds the SERP. Organic acquisition runs about $205 per B2B SaaS customer, against $341 for paid channels (First Page Sage). Answer-engine work rides on those same pages: structured data, entity consistency, and benchmark content worth citing. GenAI chatbots are now the single biggest shortlist influence, at 17.1%.

Paid Ads

B2B SaaS clicks average $5-8 and spike past $50 on pricing terms, with non-branded costs up 29% in a year. So paid runs as a precision instrument: competitor and pricing keywords, G2 and Capterra category placements, and LinkedIn retargeting of trial-stage accounts once ACV clears $15K. Landing pages split by motion, self-serve trial in one lane and sales demo in the other. Every campaign reports against your CAC payback window.

Email Marketing

Moving trial-to-paid from 8% to 11% adds more revenue than doubling ad spend. That is why lifecycle email is usually the best dollar in a SaaS budget. We build it event by event. Onboarding branches on activation behavior, expansion campaigns trigger on usage thresholds, and win-back flows are timed to the 90-day window where 43% of SMB churn happens. Software emails benchmark near 39% opens but 1.2% clicks. Behavior-triggered sends beat batch-and-blast by multiples.

AI Automation

Most SaaS teams are missing the PQL engine, so we build it. Usage signals get scored and routed to sales. Leads get enriched at trial signup, churn risk flags when engagement drops, and review requests fire in-app after a moment that went well. Then we join ad spend to product analytics, which turns CAC payback into a weekly number instead of a board-meeting estimate. For one B2B client, scored routing cut lead response from 48 hours to 5 minutes.

Who we work with

Motion by motion, the math changes, and so does the plan.

PLG & self-serve products

Below roughly $5K ACV, trial math decides everything: the credit-card decision alone moves conversion more than 5x, and freemium converts at 3-5%. We pick the model before optimizing the funnel.

Sales-led & enterprise SaaS

Above $25K ACV, buyers expect demos, security review, and procurement, and review sites influence 56% of them. LinkedIn ABM and G2 positioning carry this pipeline.

Developer tools

Developers block ads and adopt through docs, GitHub, and peer recommendation. The playbook is technical SEO on documentation and tutorials that solve real problems; Vercel's docs famously outrank competitors' homepages.

Vertical & agtech SaaS

The Western Growers Center for Innovation & Technology in Salinas incubates farm-management and compliance software selling into the $10B+ Salinas Valley produce industry. Long, trust-driven cycles into growers reward proof content over ads.

Central Coast software companies

SLO built a cluster around Mindbody, taken private for $1.9B; Santa Cruz produced Looker, acquired by Google for $2.6B, and hosts Paystand. Product talent is local; growth-marketing depth mostly commutes from SF prices. We close that gap.

Seed to Series B teams

The $1M-$20M ARR band buys marketing incrementally: an audit, then a one-channel sprint, then a retainer. We work that way on purpose, with reporting tied to your product analytics from week one.

AI visibility

AI Search Visibility for SaaS

A SaaS shortlist gets written before anyone asks for a demo. 51% of software buyers open an AI chatbot before a search box, and AI chatbots now sway those lists more than any other source at 17.1%, ahead of the review sites. The engines build them from comparison content, review corpora, structured data, and one product description used everywhere. They do not run JavaScript, so a feature grid rendered client side is never read. We build the citable layer: versus pages, benchmark content, schema, and review velocity on G2 and Capterra. Our free SEO report scores that layer today, so you know your starting point.

Explore AI visibility Run a free SEO & AI report

$12K → $208K

MRR in six months. Shoppable video platform, $150K total budget.

85%

trial-to-paid conversion on the same engagement

51%

of software buyers now start research in an AI chatbot

Moving trial-to-paid from 8% to 11% adds more revenue than doubling the ad budget. The cheapest pipeline in SaaS is already inside your funnel.

Case study

The GTM engine behind $2.5M ARR in six months

The client is an AI content-review platform with a working product and a flat growth curve: $12K MRR, trials arriving in ones and twos. We rebuilt go-to-market around ROI-first positioning, then ran the volume: 50+ content pieces aimed at bottom-funnel queries, 15 webinars feeding the sales-assist motion, and multi-touch attribution wired across every channel. Six months later, MRR sat at $208K, $2.5M in ARR terms, on a $150K total budget. Monthly active users tripled from 2,400 to 9,600, and trial-to-paid conversion reached 85%, against an 8% industry median (ChartMogul). Attribution showed where the pipeline came from: LinkedIn drove 42%, content 28%, partners 19%. Once you can see that, next quarter’s budget is an allocation decision instead of an argument.

Read the case study

$12K → $208K

MRR in six months

“The launch exceeded our expectations. The strategic approach and execution delivered results that transformed our market position.”

Sarah Chen, VP of Product · Shoppable Video Platform

The Payback Engine

How we work

The Payback Engine: three phases, one metric. CAC payback.

Audit the funnel

A free audit of the whole revenue engine: trial-to-paid against ChartMogul benchmarks, activation drop-offs, search and AI visibility, churn cohorts, and paid economics. Most SaaS teams lose more revenue between signup and activation than to any competitor, so we measure that first.

Fix conversion before buying traffic

Onboarding sequences, pricing-page structure, and comparison pages come before new ad spend, because moving trial-to-paid from 8% to 11% adds more revenue than doubling the budget. The cheap wins land first and make every later dollar work harder.

Scale what pays back

Paid media restricted to bottom-funnel intent, SEO and review velocity compounding underneath, and multi-touch attribution joining ad spend to product analytics. CAC payback becomes a weekly number, so when finance asks, you answer with a dashboard instead of a story.

Playbook

The Technology & SaaS Marketing Playbook

The median B2B SaaS company now waits roughly 18 months to recover its acquisition cost, and median net revenue retention slipped to 101% in 2025 (Benchmarkit). Growth got more expensive on every channel at the same time. Nine tactics we run for SaaS teams, from Salinas agtech to remote US companies, each with the math attached.

Own the comparison SERP before you scale ad spend

Bottom-funnel queries carry the purchase intent in SaaS: '[you] vs [competitor]', '[competitor] alternatives', '[category] software'. Organic acquisition runs about $205 per B2B SaaS customer against $341 for paid channels, per First Page Sage (2025), and comparison pages double as the raw material AI assistants quote when they assemble shortlists. Write the versus page your prospect will read somewhere anyway, and write it straight: honest feature tables, real pricing, the use cases where the competitor wins. Then build use-case and integration pages underneath, because '[job] software for [industry]' queries arrive at trial intent, not research intent. This library compounds while paid clicks get 29% more expensive a year. It is the first asset we build for most SaaS clients.

Pick your trial model before you optimize the funnel

The credit-card decision moves conversion more than anything you will ever A/B test. ChartMogul's 2026 report across 200 B2B products: median free-to-paid is 8%; opt-in trials convert at 4-6% (good) to 10-15% (great); credit-card-required trials at 25-35% to 50-60%. Per 1,000 visitors, card-required trials produce 10.5 paying customers, open trials 3.6, freemium 5. The card requirement costs signup volume and product feedback, so early products optimizing for learning usually go opt-in, and products with proven activation go opt-out. The reverse trial, full features for a limited window then a downgrade to free, splits the difference. Decide this first. Optimizing the wrong model is expensive rework.

Put the onboarding budget where the churn is: days 1-90

43% of SMB customer losses happen in the first quarter after purchase (Optifai, 939 companies, 2025-26), which makes onboarding a revenue lever rather than a support function. Monthly churn benchmarks run 3-5% for SMB products, 1.5-3% mid-market, 1-2% enterprise. The fix is event-driven email branched on behavior: a user who stalls before the aha moment gets a different sequence than one who activated on day one. Software emails benchmark near 39% opens but 1.2% clicks, so batch-and-blast newsletters die in the inbox while behavior-triggered sends convert at multiples. We map your activation milestone first, then build the branches. Retention compounds the way SEO does; churn compounds the other way.

Cut paid search to the keywords that survive payback math

Non-branded B2B CPCs rose 29% while CTRs fell 26% between August 2024 and July 2025 (Dreamdata), and high-intent terms like 'CRM software pricing' clear $50 a click. At 3-5% conversion rates, CPAs run from about $90 for SMB self-serve to $1,500+ for enterprise demo requests. Broad top-funnel spend cannot survive that math with median CAC payback already at 18 months. So restrict spend to competitor, pricing, and category-intent keywords, add G2 and Capterra category placements, and reserve LinkedIn for retargeting trial-stage accounts at ACVs above $15K. Then split landing pages by motion: a self-serve trial click and a demo-request click want different pages, and sending both to the homepage stretches payback.

Get cited by the chatbot that writes the shortlist

51% of B2B software buyers now start research with an AI chatbot more often than Google, up from 29% in April 2025, and 69% chose a different vendor than planned because of AI guidance (G2, 2026). GenAI chatbots are the single biggest shortlist influence at 17.1%, ahead of review sites at 15.1%. The engines cite comparison content, benchmark data, review corpora, and consistent entity descriptions, and their crawlers execute no JavaScript, so anything rendered client-side is invisible to them. The work: versus and alternatives pages in server-rendered HTML, schema markup, an entity description that reads the same on your site, G2, and LinkedIn, and original benchmark content worth quoting. Invisible here means missing from shortlists you never knew existed.

Run G2 and Capterra like a channel with a quota

Review sites influence 56% of enterprise software buyers, their #1 research source, and they hold the SERP for most '[category] software' queries (G2 Buyer Behavior Report, 2025). The profiles also feed the citation data AI assistants retrieve from, so a thin G2 page hurts you twice. Treat reviews as a production system: in-app requests at moments of success (a completed project, a hit threshold, a support win), quarterly campaigns to happy accounts, and 10-15 fresh reviews a quarter as the floor. Respond to the critical ones, because prospects read the responses. Grid Report position moves deals at enterprise ACVs; recency and volume move the algorithm underneath it.

Define a PQL before you hire another SDR

Below roughly $5K ACV, self-serve is usually the only motion that pencils. Above $25-30K, buyers expect demos, security review, and procurement. The $5-25K middle runs hybrid, and hybrid fails without a product-qualified-lead definition: which usage signals (team invites, threshold crossings, pricing-page visits) mean an account is ready for sales assist. Only 13% of SaaS companies pair top-quartile net revenue retention with fast CAC payback, and that group grows at a 71% average rate with a 47% Rule of 40 (Benchmarkit, 2025). The pattern behind those numbers is qualification: sales time spent on accounts the product already warmed. We score the signals, wire the routing, and hand your reps a ranked queue.

Sell vertical SaaS at the pace the vertical buys

The Central Coast's most distinctive software lane is agtech: the Western Growers Center for Innovation & Technology in Salinas incubates farm-management, compliance, and ag-data startups selling into the $10B+ Salinas Valley produce industry. Growers and shippers buy on trust and references, over long cycles, from vendors who speak compliance and operations fluently, so the content has to prove domain depth, not marketing polish. The same goes for the SLO cluster that grew around Mindbody (taken private for $1.9B) and the Santa Cruz ecosystem that produced Looker (acquired by Google for $2.6B) and hosts Paystand. Product talent is local. Growth-marketing depth mostly commutes at SF prices. We close that gap from Hollister.

Report CAC payback weekly, or the board will report it to you

Median CAC payback stretched to roughly 18 months in 2025 (Benchmarkit) while finance reviews budgets on 12-month horizons, which is why marketing gets cut in the years it worked. The defense is attribution that joins ad spend to product analytics, including the dark funnel (communities, podcasts, word of mouth) that last-click reports erase. For our AI content-review client, multi-touch attribution showed LinkedIn driving 42% of pipeline, content 28%, and partners 19%, so budget moved on evidence instead of opinion, and MRR went from $12K to $208K in six months. When payback is a weekly number on a shared dashboard, the budget conversation changes from defending spend to allocating it.

Sources

Related industries

Technology & SaaS marketing by city

Technology & SaaS marketing in San Jose Technology & SaaS marketing in San Francisco Mountain View Santa Clara

Technology & SaaS

Let's move your trial-to-paid number before the next board deck goes out

Start with a free audit. We'll pull your trial funnel, search and AI visibility, churn cohorts, and paid economics, and show you where MRR is leaking. Twenty minutes, no obligation.

Get my SaaS growth plan

Free audit first No long-term contracts Based in Hollister, California. Working nationwide.

Last updated July 4, 2026

Marketing thatturns trialsinto MRR.

Technology & SaaS Marketing Agency

Results, measured in the metrics your board reads

The numbers a SaaS plan has to clear

Four things we hear before we hear anything else

“Signups are up and revenue isn't moving”

“Google Ads costs more every quarter and converts worse”

“ChatGPT recommends our competitors and skips us”

“Product-qualified leads sit in a queue until they go cold”

Five services, priced in trial math

Web Development

SEO

Paid Ads

Email Marketing

AI Automation

Who we work with

PLG & self-serve products

Sales-led & enterprise SaaS

Developer tools

Vertical & agtech SaaS

Central Coast software companies

Seed to Series B teams

AI Search Visibility for SaaS

The GTM engine behind $2.5M ARR in six months

How we work

Audit the funnel

Fix conversion before buying traffic

Scale what pays back

The Technology & SaaS Marketing Playbook

Own the comparison SERP before you scale ad spend

Pick your trial model before you optimize the funnel

Put the onboarding budget where the churn is: days 1-90

Cut paid search to the keywords that survive payback math

Get cited by the chatbot that writes the shortlist

Run G2 and Capterra like a channel with a quota

Define a PQL before you hire another SDR

Sell vertical SaaS at the pace the vertical buys

Report CAC payback weekly, or the board will report it to you

Explore adjacent verticals

Tech

AI

B2B

Let's move your trial-to-paid number before the next board deck goes out