Services
We don't list capabilities.
We prove them.
Most agencies hand you a menu of the same services everyone offers. We run every discipline as an experiment held to one standard: incremental profit.
Service Models
Built for teams that can't move everything at once.
Leaner teams don't have the bandwidth to push paid, SEO, creative, and measurement forward at once — so most of it stalls.
Each month we throw the team's weight behind the single highest-impact workstream — chosen by expected incremental profit — while keeping the rest warm.
HOLISTIC — RECOMMENDED
One partner, rotating focus
All channels under one roof and one budget. We sequence the work so the highest-leverage lever each month gets real attention and the rest are kept warm. This is how lean teams get compounding, full-funnel gains without hiring five specialists.
CHANNEL-SPECIFIC
Drop us into one lane
Already strong everywhere but one channel? Plug us into exactly that — same experimental rigor and the River OS tooling, narrower scope. A clean way to start before going holistic.
Paid Media
We treat the feed and the SERP as a laboratory.
Anyone can launch campaigns. The difference is what we optimize toward and how fast we learn. Every dollar is governed by a testing flywheel: creative and incrementality learnings shape the next bid, audience, and asset.
What most agencies do
Chase ROAS, clicks, and last-click conversions that flatter the report
Blast generic creative to broad audiences and hope
Hyper-segment until campaigns suffocate and can't scale
Quarterly reviews; slow to react
Bid against terms you already win organically
How we run it
Optimize to incremental revenue and profit, not report-friendly ROAS
Geo-holdout & lift tests prove what's actually working
Weekly creative, bid, and audience tests on statistical significance
Custom full-funnel attribution — brand vs. non-brand, cross-channel, LTV
SEO and SEM harmonized so you never pay twice for the same demand
Paid Search
We treat the SERP as a lab. Bids are engineered for profit and incremental value — with brand and non-brand split out so you never pay to recapture demand you'd win anyway.
Geo-holdout & lift tests decide what scales — and what gets cut
Custom bidding to profit, not report-friendly ROAS
SEO + SEM harmonized; suppress terms you already own organically
Microsoft/Bing worked as an overlooked, lower-CPC channel
Paid Social
Run as a direct-response channel, not a brand-awareness play. The River OS arms Meta, TikTok, and LinkedIn with native, diverse creative so you scale past the fatigue ceiling.
Dozens of creative variants tested weekly — hooks, formats, angles
Broad, signal-rich targeting instead of hyper-segmentation that kills scale
Sequential retargeting that nurtures, not just chases the click
Cross-channel attribution for social's true influence on revenue
Programmatic / STV
Extend into programmatic and streaming/connected TV via The Trade Desk and DV360 — with upper-funnel held to the same proof standard as everything else.
Incrementality guardrails on awareness and CTV spend
Audience and inventory curation to cut wasted impressions
Creative built per placement, never just repurposed
Case Study
+150% weekly sales · +30% Google ROAS at 2x spend
We rebuilt a DTC jewelry brand’s Google Ads account, then layered in persona-driven Meta creative. Spend doubled while ROAS climbed, and weekly sales grew 150% from launch.
Website
Found by Google. Cited by AI. Built to convert.
SEO isn’t magic — it’s engineering. The River OS continuously scans the web to surface high-intent opportunity. Traditional SEO gets you found; our GEO work gets you cited inside ChatGPT, Gemini, and Perplexity.
AEO
SEO isn't magic, it's engineering. We fix the technical foundation, then chase high-intent keywords mapped to revenue. GEO then makes you the source AI engines cite.
Crawl, speed, Core Web Vitals & schema fixed before chasing rankings
High-intent, commercial keywords — not empty search volume
Fact-dense "answer blocks" + entity authority for ChatGPT, Gemini, Perplexity
LLM crawler access (GPTBot, Google-Extended) explicitly managed
CRO
Conversion gains from experimentation, not opinion. We A/B test the journey to lift conversion rate and drive CAC down — every change earns its place with data.
Continuous, statistically-valid testing
Friction & funnel analysis tied to revenue, not guesses
Winning insights fed back into paid and creative
Custom Landing Pages
High-converting pages matched to each campaign's intent and message, so the click you paid for doesn't leak on arrival.
Message-match to the exact ad that drove the visit
Built for speed and mobile-first conversion
Versioned for ongoing experimentation
Case Study
+200% product-page conversion · ROAS 0.74 to 2.27
You cannot bid your way out of a page that does not convert. A product-page rebuild took paid conversion from 0.84 to 2.05 percent on near-identical traffic, tripling the return on the same spend.
Measurement
Causation, not correlation.
"Half my ad spend is wasted; I just don't know which half." A century later, most marketers still can't answer it. We triangulate matched-market tests, conversion-lift, and media-mix modeling to prove what actually drives profit.
Analytics
Clean tracking and server-side tagging, with dashboards tied to business outcomes — the trustworthy foundation everything else is built on.
Server-side GTM + conversion APIs for durable signal
Outcome dashboards, not platform-reported credit
Cohort & retention views built in
Advanced Measurement
The enterprise stack, brought to growth-stage brands and settled with experiments. Deployed with partners like Recast and Measured — board-ready rigor.
Geo-holdouts — pause in ~20% of markets to prove causation
LTV by source: early indicators, cohorts, segmented models
Media-mix modeling + budget-optimization scenario planning
Executive, board-ready reporting
What it answers
The questions that actually drive budget decisions — answered with evidence, not faith.
Which channels drive net-new customers vs. claim existing demand?
What's true customer LTV by acquisition source?
If we pause this campaign, does revenue actually drop?
Where is the next dollar best spent?
Case Study
−80% cost per qualified lead
A law firm’s clicks meant nothing until we tied them to signed cases. Offline conversion imports let Google optimize to case value instead of call volume, and qualified-lead cost fell 80%.
Creative
Engineered to feed the algorithm — not to win awards.
When media is dialed in but costs keep rising, the culprit is creative fatigue. We replace the feast-or-famine cycle with a constant stream of net-new, data-backed assets.
Mine intelligence
Before we open a design file, the River OS mines 1P and 3P intelligence (incl. Adology) for the hooks and angles most likely to convert.
Modular variation
We separate Hook, Body, and CTA so one concept becomes dozens of variations — persona-trained agents scale it.
Ship everywhere
Assets ship in every placement spec (9:16, 4:5, 16:9) and plug straight into the buy.
Iterate fast
Hook failed? Swap the first 3 seconds. Clicks but no conversions? Rework the payoff. Winners get scaled.
Case Study
10x video sales · +300% category revenue
For an Amazon electronics seller we rebuilt creative, structure, and product pages for a dead category. Video sales grew 10x and category revenue tripled while spend scaled.
See what we'd do differently for you.
Bring your current accounts — we'll show you where the wasted spend and untapped incremental upside are hiding.
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