How Outtloud recovered 29% of search budget and scaled subscription trials with myr
B2C reading app used myr to cut junk search terms, fix mobile CPA gaps, and scale winning Google Ads campaigns.
outtloud.comAt a glance
| Segment | B2C SaaS (subscription app) |
| Company | Outtloud |
| Product | Text-to-speech reader for PDF, EPUB, websites, and more. Natural voices, listening apps, flexible plans |
| Runs Google Ads for | App installs, free trial starts, paid subscriptions |
| Used myr for | Search term waste, device CPA gaps, scaling winners safely |
Overview
Outtloud turns documents and web pages into natural audio so people can listen instead of read: PDFs, EPUBs, articles, OCR scans, hundreds of voices, optional voice cloning, and flexible pricing from weekly to annual plans.
Consumer reading apps live in a brutal auction. Competitors like Speechify and NaturalReader bid on the same keywords. Search terms fill up with "free" intent, comparison shoppers, and people who want a one-time file converted, not a subscription.
Outtloud had winning creative and strong retention among paying listeners. Google Ads drove trials, but margin disappeared into junk queries and uneven mobile performance. The team needed always-on monitoring, not another Friday spreadsheet.
The business
Outtloud serves:
- Professionals who listen to reports and long documents on commutes
- Students and accessibility users who prefer audio
- Creators using voice output for drafts and content
Monetization is subscription-based (free trial → paid plan). The business cares about trial start → paid conversion, not raw installs from people hunting free tools.
Paid search focuses on high-intent phrases: read PDF aloud, text to speech reader, listen to documents, accessibility reading apps, and competitor-adjacent terms where Outtloud wins on voice quality and plan flexibility.
The challenge
Before myr, Outtloud's Google Ads routine looked familiar:
- Scale budget when trial CPA looked good for a week
- Pull search terms occasionally; negatives lagged by days or weeks
- Separate mobile and desktop campaigns in theory, unified reporting in practice
- Heavy spend on broad match "reading" and "PDF" themes without tight negatives
Problems showed up predictably:
| Leak | What happened |
|---|---|
| Free intent | "convert pdf to mp3 free", "text to speech no login" |
| Wrong product | People wanting video voiceover or TikTok tools |
| Mobile UX | Higher trial starts but worse paid conversion on slow landing paths |
| Competitor bleed | Brand and comparison terms with high CPC, uneven quality |
When they doubled budget on a "winning" campaign, trials rose but paid subscriber CPA barely moved. Search terms revealed the extra volume was low-intent.
What changed
Outtloud connected Google Ads to myr (read-only) and set guardrails around paid conversion CPA, not trial volume alone.
Key moves:
- myr agents flagged top search terms by spend with no paid conversion within 14 days
- Device split review surfaced mobile as higher trial volume, lower subscriber yield
- Recommended negatives shipped as approve-lists (free, converter, video, celebrity voice patterns)
- Budget increases allowed only on campaigns myr scored "clean" for 7+ days
They stopped scaling like a light switch. They scaled campaigns that passed search term + device + tracking checks.
How they run it with myr
Morning triage (5 minutes)
Open myr portfolio view: any campaign with spend up and paid conversions down in 48 hours goes first.
Agent recommendations (daily)
Examples Outtloud acts on:
- "Add 12 negatives from last 72h search terms ($840 spend, 0 paid conv)"
- "Mobile CPA 2.1× desktop on Brand+Reader campaign. Check LP speed before bid change"
- "Campaign pacing 100% by 2pm. Consider schedule adjustment or budget cap"
Human approval
Growth lead approves negatives and pauses. Optional autopilot only for pre-approved negative patterns after trust built.
Scale playbook
Increase budget ~20% every 3–4 days on campaigns where myr reports:
- Junk search term share under threshold
- Stable paid conversion CPA
- No tracking anomalies
Results
After ~10 weeks with agents monitoring (illustrative rollout figures):
| Metric | Impact |
|---|---|
| Search spend on zero-paid-conv terms | Down ~29% |
| Paid subscriber CPA (Search) | Down ~18% |
| Trial-to-paid rate from Search traffic | Up ~11% relative |
| Campaigns safely scaled (>2× original daily budget) | 2 core winners |
| Manual audit time | ~2.5 hrs/week → ~40 min/week |
The bigger win was confidence. Outtloud could increase spend during promo windows because agents caught bleed the same day, not at month-end.
Why it works
B2C subscriptions fail on Google Ads when teams optimize for top-funnel trials alone. Outtloud aligned ads with subscriber economics and used myr to enforce that daily.
What mattered most:
- Search term discipline at scale (agents + approval)
- Device-level truth before bid changes
- Scaling rules tied to cleanliness, not excitement
- Plain-English alerts a founder can act on without hiring an agency
What's next
Outtloud is testing:
- Seasonal creative rotations with agent anomaly detection on CPA swings
- Separate campaign hygiene scores for iOS vs web trial paths
- Deeper integration between myr alerts and weekly growth standups
The takeaway
Outtloud did not fix Google Ads with a new bid strategy. They fixed what they were willing to pay for.
myr helped them cut subscription-hostile queries, protect mobile economics, and scale the campaigns that actually produced paying listeners.
Business type: B2C SaaS · Mobile + web subscription
Best for: Apps with trial funnels and messy consumer search intent