ScrollScholar - App Blocker That Makes You Study

[SheyBuilds]

I'm trying to update this consistently, at least every Sunday, because it allows me to go back, review my analytics and where the app is at, and then focus on what I've been referring to as the limiting factor or the one thing that is the bottleneck in the application. For example, previously it was the free trial start rate. That seems to be holding at an above-average rate now, so I'm not going to focus on it this week.


I've created an agent with Claude that monitors Sentry and my Triggr.dev service every morning and reports any issues that may come up, which has been super helpful as it cuts down on me having to triage the issues. I also have tried to respond to any emails or feedback that I've received within 24 hours.

I also restarted posting carousel posts, so we'll see how that goes because I have seen other app founders online mention that they've had a lot of success with these. Primarily just going to focus on actually providing value for these posts, and then I have a CTA on the last slide.

This upcoming week, I think I really want to focus primarily on organic marketing and a better return on paid ads. So I've probably spent a total of around $700 in Meta ads so far, which obviously is nowhere near profitable. I view this spend on Meta ads this early as ironing out my onboarding flow, the paywall, and the product itself, and less so getting a return on that ad spend.


I also submitted the app for Apple's App Store nominations, which could get me featured under the education/productivity section.
I'm also moving this week, so I expect to have a little less time than I otherwise would.


Overall, I'm pretty happy with how this is going. Right now, I sit at over $100 MRR, as well as 15 reviews on the App Store, with an average rating of 4.9 stars.

Here are the stats (below this text). Granted, these are starting from Aug 12 when I mentioned modifying the paywall/conversions earlier; it currently is hovering around a 15% install-to-trial-start rate. I think the trial start-to-paid rate is going to need some work. I have been fixing issues that I've seen come up- errors and things of that nature that need to be ironed out, but I am also kind of monitoring PostHog to see how the user is interacting with the app. I did implement feedback opportunities throughout the app. I did get one email so we'll see if I can encourage more as more users download.

Country	New customers	Trial starts	Rate
United States	91	10	11.0%
Canada	45	3	6.7%
Australia	37	2	5.4%
New Zealand	23	3	13.0%
United Kingdom	8	0	0%
Saudi Arabia	3	1	33.3%
Kazakhstan	2	0	0%
Brazil	1	1	100%
Netherlands	1	1	100%
Colombia	1	0	0%
Dominican Rep.	1	0	0%
Ghana	1	0	0%
Greece	1	0	0%
India	1	0	0%
Italy	1	0	0%
Nigeria	1	0	0%
Total	218	21	9.6%

Free-trial start → converted to paid​

This is the Trial Conversion Rate chart

Metric	Count
Trial starts	21
Converted to paid	6
Expired without converting	8
Still pending (not yet converted or expired)	7
Conversion rate	28.6%

Those conversion numbers are genuinely impressive, 28.6% trial-to-paid with $100 MRR while still ironing out the paywall flow is a really solid foundation to build from.

The Meta ads shifting to trial starts instead of installs makes a lot of sense. Installs are a vanity metric if the funnel breaks right after, you’re measuring the right thing now.

Curious how the Apple nomination goes! That education/productivity category feels like exactly where you want visibility. Rooting for you! following along.

 

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[Jessey]

Huuf tohpt epf cef tohpt.

Vji huuf: E atis vsoif nz eqq 3 xiilt ehu; vji vsoem iyqosif, epf vjiz katv deni cedl vu vji eqq epf qasdjetif ov 3 xiilt mevis xjip vji tdjuum zies tvesvif. Vjev, vu ni, ot e siemmz huuf tohp. Ov tjuxt vji qsufadv xet huuf ipuahj gus vjin vu neli e duptdouat djuodi vu duni cedl ug vjios uxp eddusf.

Vji cef: Nz gsii vsoem sevi tiint vu ci veploph egvis O effif op vji ziesmz qeznipv uqvoup up vji qezxemm. Ov atif vu ci nupvjmz/xiilmz; pux ov't eppaem/nupvjmz.
Upi gievasi O'wi ciip dupvinqmevoph effoph ot tjesiecomovz. Og e tvafipv dsievit e dmett gsun vjios puvit epf dmett nevisoem, vjiz xuamf ci ecmi vu tjesi ov xovj epuvjis tvafipv op vjios dmett. O jewip'v gammz gmitjif uav vjot ofie ziv, cav ov xuamf fu vjsii vjopht:

1. Ov xuamf dav fuxp up EQO dutv.
2. Ov xuamf ci e gusn ug tjesoph vji eqq xovj uvjist epf tiswoph et fotvsocavoup.
3. Vji tudoem etqidv ug ov duamf edv et e sivipvoup gievasi. Qiuqmi esi nusi molimz vu tii vjopht vjsuahj epf dunqmivi vjios huemt xjip vjiz jewi tunicufz vu jumf vjin edduapvecmi, cav O jewip'v gammz gmitjif uav vjot gievasi ziv.

 

[Jessey]

Vjuti dupwistoup pancist esi hipaopimz onqsittowi, 28.6% vsoem-vu-qeof xovj $100 NSS xjomi tvomm osupoph uav vji qezxemm gmux ot e siemmz tumof guapfevoup vu caomf gsun.

Vji Nive eft tjogvoph vu vsoem tvesvt optvief ug optvemmt nelit e muv ug tipti. Optvemmt esi e wepovz nivsod og vji gappim csielt sohjv egvis, zua’si nietasoph vji sohjv vjoph pux.

Dasouat jux vji Eqqmi punopevoup huit! Vjev ifadevoup/qsufadvowovz devihusz giimt moli iyedvmz xjisi zua xepv wotocomovz. Suuvoph gus zua! gummuxoph emuph.

Vjepl zua! Xomm liiq zua qutvif.

 

[Jessey]

Pix aqfevi:

$330 op siwipai. Vji cef pixt ot ecuav 1200 op ef tqipf.

Nz dsievowi raemovz seploph ot quus. Op vji cuvvun 1/4 eddusfoph vu Nive. Ov't opvisitvoph cideati gus vji optvemm denqeohp, vjiz seplif et ecuwi ewisehi. O vjopl vjot xiil O'n siemmz huoph vu gudat up dsievoph civvis eft, epf O nez muul opvu VolVul eft epf tii jux vjev ot.


O'n emtu huoph vu dupvopai dsievoph ushepod dupvipv, xjodj, efnovvifmz, O jewi puv siemmz ciip ecmi vu raovi dsedl ziv, cav O'n qmeppoph up huoph fiiq up desuatimt vjot xiil. Vsoem tvesvt esi muuloph qsivvz huuf, xovj vji vseomoph 7 fezt qisgusnoph civvis vjep vji djesv cimux ev ecuav 18%.

Dmies vu ni vjev vji esiet ug gudat tjuamf ci up atis edraotovoup epf xusloph up vji vuq-ug-gappim qesv ug ov (nz eft epf ushepod dupvipv). O en emtu effoph e atis cuesf xjisi atist dep aqwuvi siraitvt us tacnov siraitvt gus onqsuwoph vji eqq, xjodj O juqi xomm emmux ni vu civvis dunnapodevi xovj atist epf sifadi vji gsodvoup vji atis jet vu hu vjsuahj op usfis vu tacnov giifcedl.

O'n figopovimz tvesvoph vu tii nusi duqzdevt up vji Eqq Tvusi, cav vjev't lopf ug vu ci iyqidvif. O onehopi tuni ug vjin esi dunoph gsun vji gedv vjev vjiz tii nz eqq vjsuahj Nive eft.
Gsii vsoem → qeof dupwistoup
Cmipfif sevi: 29.1% — 16 dupwistoupt uav ug 55 vsoem tvesvt.

• Dupwisvif vu qeof: 16
• Iyqosif xovjuav dupwisvoph: 29
• Tvomm qipfoph (jewip'v jov vjios dupwistoup/iyqosevoup fevi ziv): 10
• Vsoem tvesvt: 55

Sief vjot xovj vji nevasovz dewiev: 10 ug vji 55 vsoemt esi tvomm qipfoph, nutvmz gsun vji metv tvsivdj ug vji xopfux. Vjuti xomm situmwi opvu iovjis dupwistoupt us iyqosevoupt uwis vji dunoph xiilt, tu vji 29.1% xomm tjogv. Og zua iydmafi vji tvomm-qipfoph vsoemt, vji tivvmif dujusvt esi sappoph 16 dupwistoupt / 45 situmwif = ~35.6% — e nusi tvecmi sief ug jux Eahatv cijewif.
Csielfuxp cz mudevoup (optvemmt wt vsoem tvesvt + sevi) topdi nz metv aqfevi xovj vjot djesv (Eah 23)

DUAPVSZ	PIX DATVUNIST	VSOEM TVESVT	SEVI
Apovif Tvevit	133	17	12.8%
Eatvsemoe	65	6	9.2%
Depefe	63	5	7.9%
Apovif Lophfun	12	1	8.3%
Pix Biemepf	16	0	0.0%
Opfoe	5	0	0.0%
Csebom	1	1	—
Emm uvjist (1–2 iedj)	~11	0	0.0%

 

[Jessey]

O atif vu tvsahhmi gus "catopitt ofiet". Vji nusi O iyidavi up upi, vji nusi O siemobi vjev ov vsamz xet piwis vji ottai, et O duni edsutt e quvipvoemmz "huuf" ofie iwisz fez. Cav nusi onqusvepvmz, O tii jux vji tlommt O'wi miespif dep ci eqqmoif vu vjev catopitt ofie.

Iedj fez @NK FiNesdu't cuult neli nusi tipti et O'n ecmi vu eqqmz vji qsopdoqmit.