DevPilot

DTC-Brand

DMs, die sich selbst verkaufen

Aus 500 DMs/Monat mit 4% Conversion wurden 11% und 6× Umsatz.

Ergebnis
000×
Zeitrahmen
ROAS ×6.2
Kategorie
DTC-Brand
Was war

500 DMs/Monat manuell, 4% Conversion, Manager schaffen die Peak-Hours nicht.

A DTC clothing brand received 500 Instagram DMs per month: sizing, price, stock and shipping questions.

The manager couldn't physically keep up at peak hours. Purchase conversion was 4%, and some leads bled to competitors.

Their CRM (Bitrix24) wasn't integrated with Instagram — requests got lost, no follow-ups.

Was wir gemacht haben

TG-Bot qualifiziert, bucht den Call oder schließt mit Promocode ab. Conversion auf 11% gestiegen.

  1. 01

    Built a Telegram bot with Instagram integration through a ManyChat-style pipeline on n8n.

  2. 02

    The bot qualifies on size / budget / timing. Based on customer type, it picks a path: book a consult, send a promo code, or hand off to a manager.

  3. 03

    GPT-4 answers off-script questions from the store knowledge base (200 SKUs + return policy).

  4. 04

    Each lead lands in Bitrix24 with tags and pipeline stage. The manager sees the full context and a draft reply.

Was sich geändert hat

Ergebnis

Purchase conversion: 4% → 11%

ROAS up from 1.8× to 6.2× in 2 months

Bot paid for itself on day 9 after launch

The bot now handles 1,200 DMs/month without growing the team

Stack
AiogramGPT-4Bitrix24MakePython

Nächster Case

Support, der nicht ausbrennt

Logistics

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