Google Ads Channel Context

This document provides context for all agents about Twofold Health's Google Ads channel. Read this alongside the other raw_input/ files when generating research or specs that should account for Google Ads traffic.

Why Google Ads Matters

Twofold currently acquires users through Facebook and Instagram ads that drive traffic to a quiz funnel at start.trytwofold.com. We are expanding to also optimize for Google Ads search traffic, which is a fundamentally different channel.

How Google Ads Differs from Facebook/Instagram

Dimension	Facebook/Instagram	Google Search
User intent	Low — interrupted while scrolling	High — actively searching for a solution
Browser context	In-app browser (limited OAuth, unreliable scroll, no password manager)	Full system browser (Google SSO available, standard capabilities)
Landing page needs	Hook + quiz (engagement-first, earn attention)	Answer the query + convert (fulfillment-first)
Google SSO	Unavailable in in-app browser	Available — lowest-friction signup option
Quality Score	N/A	Must optimize: ad relevance, landing page experience, expected CTR
Ejection needed	Yes — must escape in-app browser for recording to work	No — already in full browser
User knowledge	Often unaware they need the product	Actively researching solutions

Twofold's Current Google Ads Setup

Landing Pages (Working Well)

Twofold runs Google Ads pointing to content-rich landing pages on trytwofold.com, NOT the quiz page. These pages have high Quality Scores. Two templates exist:

/lp/* template (e.g., /lp/ai-therapy-notes, /lp/ai-therapy-dictation) — Keyword-swapped pages: Hero > testimonials > features > how-it-works > pricing > privacy/security > 4 FAQs > footer. ~2,500+ words, proper H1/H2, Product schema (4.9/5 rating). Server-rendered.
/specialties/* template (e.g., /specialties/behavioral-health, /specialties/psychiatry) — More differentiated. Adds 6-card feature grid with specialty-specific items, richer structured data (FAQPage, Service, BreadcrumbList schemas), more FAQs (6-9). Server-rendered.

The quiz page (start.trytwofold.com) was tried as a Google Ads destination and got a low Quality Score because it has robots: noindex, no <h1>, is pure client-side React, and has no keyword-relevant text content.

Ad Groups and Keyword Themes

From raw_input/google_ads_report_2026-04-02.csv, Twofold's active ad groups cover:

Specialty-specific:

Mental Health, Psychology, Psychiatry, Social Work (paused), Counseling, Physical Therapy

Product feature:

Therapy Dictation, Therapy Charting, Note Types (SOAP/DAP/BIRP), Progress Notes, Treatment Plans, Therapy — Note App, Therapy — Generator, Therapy — Scribe

Compliance-driven:

HIPAA

General:

Therapy (Core)

Current Performance (from ads report)

Total: 1,748 clicks, 26,856 impressions, 6.51% CTR, 7.18% conversion rate, $303.92 avg cost/conversion
Best conversion rates: Note Types (11.22%), Therapy Core (10.85%), Psychology (10.00%), Psychiatry (8.64%)
Best cost efficiency: Therapy Charting ($47.91/conv), Note Types ($198.70/conv)
Highest volume: Therapy Dictation (377 clicks, 29.5 conversions), Psychiatry (301 clicks, 26 conversions)
All ads rated "Excellent" ad strength except Psychiatry ("Good")

Target Keyword Clusters

When researching competitors and structuring recommendations, consider these keyword types:

Specialty-specific: "AI therapy notes", "psychiatry AI scribe", "psychology documentation software", "social work notes AI", "counseling notes generator", "physical therapy AI scribe"
Product feature: "AI progress note generator", "SOAP note generator", "therapy dictation software", "treatment plan generator", "AI medical scribe", "clinical documentation AI", "therapy charting software"
Compliance-driven: "HIPAA compliant AI notes", "HIPAA AI scribe", "HIPAA compliant therapy software"
Competitor targeting: "[Competitor] alternative", "best AI scribe for therapists", "[Competitor] vs Twofold"
Pain-driven: "reduce clinical documentation time", "stop spending hours on therapy notes", "therapy note taking too long"

Core Research Questions

The research pipeline should answer:

How do competitors structure their Google Ads landing pages? Do they use quizzes, content pages, comparison pages, or hybrids? What's different from their Facebook pages?
Should the quiz be part of the Google Ads funnel? For which keyword clusters does a quiz add value vs. create friction? Research shows quizzes work for "commercial investigation" queries but hurt conversion for transactional queries.
What converts best for high-intent clinical SaaS keywords? Not generic SaaS — specifically healthcare/clinical software targeting professionals.
What can we learn from competitors' Google Ads approach? Especially competitors like Freed, Nuance/DAX, Ambience Healthcare who target similar keywords.
How should the funnel differ by keyword intent? A clinician searching "AI therapy notes" has different intent than one searching "Freed alternative" or "SOAP note generator free trial."

Key Research Finding: Search Traffic Conversion

Detailed research is at outputs/search-traffic-landing-page-research.md. The most important finding for agents:

Quiz funnels show 40-60% conversion lifts overall, but paid search traffic only completes quizzes at 35-50% (vs 55-70% for organic search)
Message match (ad headline echoed in page headline) drives 20-35% higher conversion — this is the #1 optimization lever
Above-the-fold content must answer the search query within 5 seconds
For search traffic, keep pre-quiz content minimal: headline matching query, 1-2 sentence value prop, trust logos
Google SSO being available changes the signup friction equation significantly
Separate landing pages per ad group can drive +83% conversion improvement (BioRender case study)

Google Ads Context