[{"data":1,"prerenderedAt":492},["ShallowReactive",2],{"customers-\u002Fcustomers\u002Fouttloud":3},{"id":4,"title":5,"body":6,"company":58,"description":482,"extension":483,"image":484,"meta":485,"navigation":486,"order":470,"path":487,"published":486,"segment":488,"seo":489,"stem":490,"website":55,"__hash__":491},"customers\u002Fcustomers\u002Fouttloud.md","How Outtloud recovered 29% of search budget and scaled subscription trials with myr",{"type":7,"value":8,"toc":468},"minimark",[9,14,89,92,96,100,103,110,112,116,119,132,139,142,144,148,151,165,168,214,221,223,227,234,237,252,259,261,265,274,282,293,301,309,320,322,326,329,383,390,392,396,403,406,420,422,426,429,440,442,446,453,456],[10,11,13],"h2",{"id":12},"at-a-glance","At a glance",[15,16,17,28],"table",{},[18,19,20],"thead",{},[21,22,23,26],"tr",{},[24,25],"th",{},[24,27],{},[29,30,31,43,59,69,79],"tbody",{},[21,32,33,40],{},[34,35,36],"td",{},[37,38,39],"strong",{},"Segment",[34,41,42],{},"B2C SaaS (subscription app)",[21,44,45,50],{},[34,46,47],{},[37,48,49],{},"Company",[34,51,52],{},[53,54,58],"a",{"href":55,"rel":56},"https:\u002F\u002Fwww.outtloud.com",[57],"nofollow","Outtloud",[21,60,61,66],{},[34,62,63],{},[37,64,65],{},"Product",[34,67,68],{},"Text-to-speech reader for PDF, EPUB, websites, and more. Natural voices, listening apps, flexible plans",[21,70,71,76],{},[34,72,73],{},[37,74,75],{},"Runs Google Ads for",[34,77,78],{},"App installs, free trial starts, paid subscriptions",[21,80,81,86],{},[34,82,83],{},[37,84,85],{},"Used myr for",[34,87,88],{},"Search term waste, device CPA gaps, scaling winners safely",[90,91],"hr",{},[10,93,95],{"id":94},"overview","Overview",[97,98,99],"p",{},"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.",[97,101,102],{},"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.",[97,104,105,106,109],{},"Outtloud had winning creative and strong retention among paying listeners. Google Ads drove trials, but ",[37,107,108],{},"margin disappeared into junk queries and uneven mobile performance",". The team needed always-on monitoring, not another Friday spreadsheet.",[90,111],{},[10,113,115],{"id":114},"the-business","The business",[97,117,118],{},"Outtloud serves:",[120,121,122,126,129],"ul",{},[123,124,125],"li",{},"Professionals who listen to reports and long documents on commutes",[123,127,128],{},"Students and accessibility users who prefer audio",[123,130,131],{},"Creators using voice output for drafts and content",[97,133,134,135,138],{},"Monetization is subscription-based (free trial → paid plan). The business cares about ",[37,136,137],{},"trial start → paid conversion",", not raw installs from people hunting free tools.",[97,140,141],{},"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.",[90,143],{},[10,145,147],{"id":146},"the-challenge","The challenge",[97,149,150],{},"Before myr, Outtloud's Google Ads routine looked familiar:",[120,152,153,156,159,162],{},[123,154,155],{},"Scale budget when trial CPA looked good for a week",[123,157,158],{},"Pull search terms occasionally; negatives lagged by days or weeks",[123,160,161],{},"Separate mobile and desktop campaigns in theory, unified reporting in practice",[123,163,164],{},"Heavy spend on broad match \"reading\" and \"PDF\" themes without tight negatives",[97,166,167],{},"Problems showed up predictably:",[15,169,170,180],{},[18,171,172],{},[21,173,174,177],{},[24,175,176],{},"Leak",[24,178,179],{},"What happened",[29,181,182,190,198,206],{},[21,183,184,187],{},[34,185,186],{},"Free intent",[34,188,189],{},"\"convert pdf to mp3 free\", \"text to speech no login\"",[21,191,192,195],{},[34,193,194],{},"Wrong product",[34,196,197],{},"People wanting video voiceover or TikTok tools",[21,199,200,203],{},[34,201,202],{},"Mobile UX",[34,204,205],{},"Higher trial starts but worse paid conversion on slow landing paths",[21,207,208,211],{},[34,209,210],{},"Competitor bleed",[34,212,213],{},"Brand and comparison terms with high CPC, uneven quality",[97,215,216,217,220],{},"When they doubled budget on a \"winning\" campaign, trials rose but ",[37,218,219],{},"paid subscriber CPA barely moved",". Search terms revealed the extra volume was low-intent.",[90,222],{},[10,224,226],{"id":225},"what-changed","What changed",[97,228,229,230,233],{},"Outtloud connected Google Ads to myr (read-only) and set guardrails around ",[37,231,232],{},"paid conversion CPA",", not trial volume alone.",[97,235,236],{},"Key moves:",[238,239,240,243,246,249],"ol",{},[123,241,242],{},"myr agents flagged top search terms by spend with no paid conversion within 14 days",[123,244,245],{},"Device split review surfaced mobile as higher trial volume, lower subscriber yield",[123,247,248],{},"Recommended negatives shipped as approve-lists (free, converter, video, celebrity voice patterns)",[123,250,251],{},"Budget increases allowed only on campaigns myr scored \"clean\" for 7+ days",[97,253,254,255,258],{},"They stopped scaling like a light switch. They scaled campaigns that passed ",[37,256,257],{},"search term + device + tracking"," checks.",[90,260],{},[10,262,264],{"id":263},"how-they-run-it-with-myr","How they run it with myr",[97,266,267,270,273],{},[37,268,269],{},"Morning triage (5 minutes)",[271,272],"br",{},"\nOpen myr portfolio view: any campaign with spend up and paid conversions down in 48 hours goes first.",[97,275,276,279,281],{},[37,277,278],{},"Agent recommendations (daily)",[271,280],{},"\nExamples Outtloud acts on:",[120,283,284,287,290],{},[123,285,286],{},"\"Add 12 negatives from last 72h search terms ($840 spend, 0 paid conv)\"",[123,288,289],{},"\"Mobile CPA 2.1× desktop on Brand+Reader campaign. Check LP speed before bid change\"",[123,291,292],{},"\"Campaign pacing 100% by 2pm. Consider schedule adjustment or budget cap\"",[97,294,295,298,300],{},[37,296,297],{},"Human approval",[271,299],{},"\nGrowth lead approves negatives and pauses. Optional autopilot only for pre-approved negative patterns after trust built.",[97,302,303,306,308],{},[37,304,305],{},"Scale playbook",[271,307],{},"\nIncrease budget ~20% every 3–4 days on campaigns where myr reports:",[120,310,311,314,317],{},[123,312,313],{},"Junk search term share under threshold",[123,315,316],{},"Stable paid conversion CPA",[123,318,319],{},"No tracking anomalies",[90,321],{},[10,323,325],{"id":324},"results","Results",[97,327,328],{},"After ~10 weeks with agents monitoring (illustrative rollout figures):",[15,330,331,341],{},[18,332,333],{},[21,334,335,338],{},[24,336,337],{},"Metric",[24,339,340],{},"Impact",[29,342,343,351,359,367,375],{},[21,344,345,348],{},[34,346,347],{},"Search spend on zero-paid-conv terms",[34,349,350],{},"Down ~29%",[21,352,353,356],{},[34,354,355],{},"Paid subscriber CPA (Search)",[34,357,358],{},"Down ~18%",[21,360,361,364],{},[34,362,363],{},"Trial-to-paid rate from Search traffic",[34,365,366],{},"Up ~11% relative",[21,368,369,372],{},[34,370,371],{},"Campaigns safely scaled (>2× original daily budget)",[34,373,374],{},"2 core winners",[21,376,377,380],{},[34,378,379],{},"Manual audit time",[34,381,382],{},"~2.5 hrs\u002Fweek → ~40 min\u002Fweek",[97,384,385,386,389],{},"The bigger win was confidence. Outtloud could increase spend during promo windows because agents caught bleed ",[37,387,388],{},"the same day",", not at month-end.",[90,391],{},[10,393,395],{"id":394},"why-it-works","Why it works",[97,397,398,399,402],{},"B2C subscriptions fail on Google Ads when teams optimize for top-funnel trials alone. Outtloud aligned ads with ",[37,400,401],{},"subscriber economics"," and used myr to enforce that daily.",[97,404,405],{},"What mattered most:",[120,407,408,411,414,417],{},[123,409,410],{},"Search term discipline at scale (agents + approval)",[123,412,413],{},"Device-level truth before bid changes",[123,415,416],{},"Scaling rules tied to cleanliness, not excitement",[123,418,419],{},"Plain-English alerts a founder can act on without hiring an agency",[90,421],{},[10,423,425],{"id":424},"whats-next","What's next",[97,427,428],{},"Outtloud is testing:",[120,430,431,434,437],{},[123,432,433],{},"Seasonal creative rotations with agent anomaly detection on CPA swings",[123,435,436],{},"Separate campaign hygiene scores for iOS vs web trial paths",[123,438,439],{},"Deeper integration between myr alerts and weekly growth standups",[90,441],{},[10,443,445],{"id":444},"the-takeaway","The takeaway",[97,447,448,449,452],{},"Outtloud did not fix Google Ads with a new bid strategy. They fixed ",[37,450,451],{},"what they were willing to pay for",".",[97,454,455],{},"myr helped them cut subscription-hostile queries, protect mobile economics, and scale the campaigns that actually produced paying listeners.",[97,457,458,461,462,464,467],{},[37,459,460],{},"Business type:"," B2C SaaS · Mobile + web subscription",[271,463],{},[37,465,466],{},"Best for:"," Apps with trial funnels and messy consumer search intent",{"title":469,"searchDepth":470,"depth":470,"links":471},"",2,[472,473,474,475,476,477,478,479,480,481],{"id":12,"depth":470,"text":13},{"id":94,"depth":470,"text":95},{"id":114,"depth":470,"text":115},{"id":146,"depth":470,"text":147},{"id":225,"depth":470,"text":226},{"id":263,"depth":470,"text":264},{"id":324,"depth":470,"text":325},{"id":394,"depth":470,"text":395},{"id":424,"depth":470,"text":425},{"id":444,"depth":470,"text":445},"B2C reading app used myr to cut junk search terms, fix mobile CPA gaps, and scale winning Google Ads campaigns.","md",null,{},true,"\u002Fcustomers\u002Fouttloud","B2C SaaS",{"title":5,"description":482},"customers\u002Fouttloud","q_6cVqumDq36-eCI-KH-HgBFaEIz8NGqWdR5SQoylr0",1784137534115]