Distribution

Where the traffic actually comes from

Investor / advisor · 2026-05-10

The operational answer to «where do new creators and users come from?». Reels-led IG/TikTok content + ~50 onboarded micro-influencers + Mark on-camera. Two viral Reels delivered most of recent traction. ~370 sign-ups → ~13 paying in the past month from cold IG. The next leg is productising the influencer pool into a marketplace.

The structural flywheel, apps feeding users feeding apps, is in positioning. This paper is the operational layer: the human-and-content pipeline that delivers new sign-ups and purchases day-to-day in 2026. It is working but small. Honest framing.

The current operational pattern

Reels-led content
       ↓ (viral hit on Instagram / TikTok)
Cold visitor lands on Apps Pro / portfolio app
       ↓ (Telegram-auth registration)
Sign-up
       ↓ (Mark / support catches them in DMs for fastest market signal)
Engaged user
       ↓ (pricing-page tier purchase OR partner-program activation)
Paying customer
       ↓ (their content / their own apps reinforce the loop)

Recent numbers

Past ~30 days:

Metric	Value
Total visits	~1,500
Sign-ups	~370
Pro purchases (cumulative recent)	~13
Daily Pro purchases (current baseline)	~3 / day
Reels that drove the surge	2 viral
Total Reels views (current pipeline)	600–700K cumulative
Single campaign: viewers → interest in training	230 → 50 (~24%)

These are small absolute numbers. They're also the first week with credit-based pricing live and almost entirely cold IG traffic. The point is the conversion shape, not the magnitude, sign-up → paid at ~3.5% from cold is solid for early-stage B2B SaaS at this price point.

The micro-influencer pipeline

Anton (Head of Bloggers) runs an onboarding pipeline that has produced:

~50 micro-influencers onboarded total
~20+ bloggers in the past week alone
Standard commission: 30% blogger / 20% manager / 50% platform for Apps Pro deals
Geographic spread: UA, IN, RU, global

Per-influencer experiment data (sampled):

Source	Views	Sign-ups	Premium / configured	Purchases
Single micro-influencer (Notspy)	~60K	~100	40 premium / 21 configured	1
Big blogger (Notspy)	,	~2,000	,	~10
Ukrainian blogger (Notspy)	,	~176	9 premium	,

Geographic premium constraint is real. Audiences in UA / IN register but rarely convert to Telegram Premium (a precondition for some monetisation paths). Approximation methodology exists (in-Telegram purchase amounts per country) but isn't yet productionised.

Reels production pipeline

Daily target: minimum 10 Reels / day across the pipeline. Each Reel may be re-cut, re-cropped, re-coloured to bypass IG's duplicate-content detection and re-posted multiple times.

Content style that's currently winning:

Vibe-coding hooks, «250K rubles for a weekend» style. The hook is licensed; the payload is honest. Apps Pro Academy is the legitimate education behind the hook.
Process-driven content, «look at how I'm building this app», not «look at this product». Less direct ad, more «here's how it works».
Founder-credibility content, Mark on camera explaining how the stack works.

Content guardrails

Do: - Lead with «here's how / here's what's happening» content (process) - Show real people using Apps Pro (case studies) - Position Apps Pro as the missing piece for vibe-coders shipping in Telegram - Use «make money» hooks at the top, back them with real outcomes (Academy, mechanics)

Don't: - Direct «look at this cool product» ads, low conversion in tests - Co-brand with third-party «info-business» courses, known scam adjacency - Promise outcomes the Academy or tool can't deliver

Two-product inbound split

The same Reels pipeline feeds both Apps Pro (B2B SaaS supply) and portfolio apps like Notspy (consumer demand). Different conversion patterns:

Apps Pro inbound: colder, slower, higher LTV. Better suits «process / Mark-led» content. ~3.5% sign-up → purchase from cold IG.
Portfolio inbound (e.g. Notspy): larger top-of-funnel, faster conversion to free user, lower per-user revenue. Better suits «here's a cool app» direct-engagement content.

Anton decides the split per-influencer per-campaign.

Productising the pipeline into a marketplace

The natural next step (engineering side in next-week pipeline): take the ~50 onboarded influencers and make them available to other apps in the catalog as an in-Apps-Pro feature. This is revenue stream #4 in the business model, when productised, the inbound flywheel scales beyond Anton's single-team capacity. Every customer app on the catalog can tap our pool, paying us a marketplace fee.

Risks and fragility

Single-channel dependency. Most current flow is IG Reels → cold traffic. If IG algorithm shifts, top-of-funnel drops. Diversification to TikTok, YouTube Shorts, and TG channels is in progress.
Manual ops bottleneck. Pipeline currently needs Anton's daily attention. Productisation is the answer; requires engineering bandwidth.
Quality drift on the «250K rubles» hook. Hooks of this style have to be backed by real Academy outcomes. If the Academy isn't ready to back them, the hook becomes a brand liability.
Geographic premium constraint. UA / IN convert but rarely to premium. Need alternative monetisation paths for non-premium-heavy regions.
Mark-as-personal-support is unscaling. Every new buyer flows into Mark's DMs for fastest market signal. The Support module is the long-term answer; short-term, this is a known burnout vector.