BusinessClient projectArchive project · 2024–2026
amoCRM lead-source reportWhich ads bring sales, not just leads: a source report for amoCRM
Marketing saw hundreds of leads in amoCRM but could not say which channel brings money: tags got lost and the funnel was counted by hand. It needed a report that follows every source all the way to sales in tenge.
- funnel steps: lead, check-in, sale
- 3funnel steps: lead, check-in, sale
- attribution modes: UTM or tags
- 2attribution modes: UTM or tags
- minutes — webhook health check
- 5minutes — webhook health check
What we built
- An amoCRM webhook on deal creation and stage changes
- Source by UTM tag or by deal tags with a configurable dictionary
- The lead → check-in → sale funnel with tenge totals and conversions
- Metric stages are picked from the client's amoCRM pipelines
- A UTM builder for ad specialists
- Since 2026 — an event queue and automatic webhook recovery
Stack
- Python
- FastAPI
- Flask
- Redis
- MongoDB
- amoCRM API v4
The marketer sees sales in tenge for every channel over any period — without counting the funnel by hand.
Questions
amoCRM lead-source report in brief
Who built the product, what it does and how to order something similar.
Who built amoCRM lead-source report?
amoCRM lead-source report was designed and built by 105, a Kazakhstan IT company ("105kz" LLP, Almaty, Astana Hub resident) for the project owner.
What does amoCRM lead-source report do?
Which ads bring sales, not just leads: a source report for amoCRM. Key features: an amoCRM webhook on deal creation and stage changes; source by UTM tag or by deal tags with a configurable dictionary; the lead → check-in → sale funnel with tenge totals and conversions; metric stages are picked from the client's amoCRM pipelines.
Can we order a similar system for our company?
Yes. 105 builds ERP, management accounting and CRM systems around a specific business: a 1–2 week problem review, a clickable prototype in 2–4 weeks, then iterative development. Source code and documentation stay with the customer. Contact: info@105.kz, +7 (771) 803-44-47.
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- Double-entry ledger
- 90-day forecast
- Personal · family · business
Isra
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- Live webinars
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- Cash desk & deposits
- Doctors' payroll
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- Payroll at 2026 rates
- Invoices with VAT
- Filing calendar
FamAI
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- Relationship warmth
- AI reply drafts
Kemel
Kemel is a multi-tenant ERP for holdings: data is isolated between holdings, and inside each one accounting runs by company and department with four access roles. A fast operations register, cash-flow and P&L reports, a group dashboard, a deal kanban with B2B and B2G tender pipelines and import of Bitrix24 exports, sales plans per manager and plan-vs-actual budgets that pick up payroll and payroll taxes automatically. The stack is FastAPI, MongoDB and Next.js 16.
- Holding dashboard
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Expert request router
A Telegram bot in Kazakh and Russian that takes consultation requests and distributes them across a network of experts. A request goes to an available expert who speaks the client's language and has waited longest for a lead; the expert accepts with a button, the client immediately gets the contacts, and the deal status is updated with buttons in Telegram. The admin panel has a lead kanban, expert cohorts, 26 editable message templates, broadcasts and conversion and NPS reports for every expert.
- Routing by language
- Kanban and templates
- Expert NPS
Auto-calls and SMS from amoCRM
An auto-dialling and SMS service for amoCRM deals that we developed from 2023. On a schedule it pulls every deal from the chosen pipeline stage, normalises Kazakh phone numbers and sends them in one request to a Zvonok call campaign or an SMSC.kz mailing. Requests to amoCRM are capped at seven per second, runs missed during downtime are not replayed after the fact, and results roll up into statistics by day and channel. The first version reacted to amoCRM webhooks and sent a report to Telegram.
- Pipeline stage → calls
- Zvonok and SMSC
- Daily statistics
Next step
Discuss a pilot project
Tell us about your task — we'll come back with a data audit plan and an effect estimate within two business days.
- 1A 30-minute call: the task, your current systems, who makes the decision
- 2A review of data and processes, a staged plan with time and cost ranges
- 3A 2–4 week prototype or an 8–12 week pilot with success criteria agreed upfront
NDA from the first contact
Reply within one business day