End-to-End Analytics Setup

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.
Development and maintenance of all types of websites:
Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:
Development stages
Latest works
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    822
  • image_crm_chasseurs_493_0.webp
    CRM development for Chasseurs
    847
  • image_website-sbh_0.png
    Website development for SBH Partners
    999
  • image_website-_0.png
    Website development for Red Pear
    451

Setting Up End-to-End Analytics for Your Website

End-to-end analytics links advertising spend to actual sales. You see: the Yandex.Direct ad campaign brought 50 leads, of which 15 made purchases totaling 450,000 RUB with 30,000 RUB spent. ROAS = 15. Without end-to-end analytics, you only see clicks or lead counts, not revenue.

Components of End-to-End Analytics

Ad spend tracker — retrieves cost data from Yandex.Direct, Google Ads, VK, Facebook via their APIs.

Call tracking — replaces phone numbers with unique ones for each source to track inbound calls.

CRM — stores deals linked to lead source.

BI/Dashboard — combines everything into one view: spend → visits → leads → sales → revenue.

Ready-Made Solutions

Roistat — Russian end-to-end analytics platform. Embedded via script, integrates with Direct, Google Ads, amoCRM, Bitrix24. Suitable for most small/medium businesses.

Calltouch — call tracking + basic end-to-end analytics.

CoMagic — similar solution with call tracking.

Custom implementation — needed if ready-made solutions don't cover your specific requirements or are too expensive for large volumes.

Custom End-to-End Analytics: Architecture

Ad Systems (API)
    → ETL Service (Python/Go)
        → Data Warehouse (ClickHouse / PostgreSQL / BigQuery)
            → BI Tool (Redash / Metabase / Superset)
                → Dashboard

Website (UTM + cookies)
    → Backend
        → Data Warehouse

CRM
    → Data Warehouse

Retrieving Data from Ad Systems

# Yandex.Direct: get costs for period
import requests

headers = {'Authorization': f'Bearer {YANDEX_TOKEN}', 'Client-Login': CLIENT_LOGIN}
report_body = {
    'params': {
        'SelectionCriteria': {
            'DateFrom': '2024-03-01', 'DateTo': '2024-03-31'
        },
        'FieldNames': ['Date', 'CampaignName', 'Impressions', 'Clicks', 'Cost'],
        'ReportName': 'Cost Report',
        'ReportType': 'CAMPAIGN_PERFORMANCE_REPORT',
        'DateRangeType': 'CUSTOM_DATE',
        'Format': 'TSV',
        'IncludeVAT': 'YES'
    }
}
response = requests.post(
    'https://api.direct.yandex.com/json/v5/reports',
    headers=headers,
    json=report_body
)

Linking Leads to Ad Sources

-- Table for storing sessions with UTM parameters
CREATE TABLE sessions (
    session_id   UUID PRIMARY KEY,
    user_id      BIGINT REFERENCES users(id),
    utm_source   VARCHAR(100),
    utm_medium   VARCHAR(100),
    utm_campaign VARCHAR(200),
    referrer     TEXT,
    created_at   TIMESTAMP
);

-- Leads linked to session
CREATE TABLE leads (
    id         BIGINT PRIMARY KEY,
    session_id UUID REFERENCES sessions(session_id),
    phone      VARCHAR(20),
    type       VARCHAR(50),  -- 'form' | 'call' | 'chat'
    created_at TIMESTAMP
);

-- Orders linked to lead
CREATE TABLE orders (
    id       BIGINT PRIMARY KEY,
    lead_id  BIGINT REFERENCES leads(id),
    total    INTEGER,
    status   VARCHAR(20),
    created_at TIMESTAMP
);

Main End-to-End Analytics Report

SELECT
    s.utm_source,
    s.utm_campaign,
    COUNT(DISTINCT s.session_id)    as visits,
    COUNT(DISTINCT l.id)            as leads,
    COUNT(DISTINCT o.id)            as orders,
    SUM(o.total) / 100.0            as revenue,
    SUM(rc.cost) / 100.0            as ad_spend,
    ROUND(SUM(o.total) / NULLIF(SUM(rc.cost), 0), 2) as roas
FROM sessions s
LEFT JOIN leads l ON l.session_id = s.session_id
LEFT JOIN orders o ON o.lead_id = l.id AND o.status = 'completed'
LEFT JOIN ad_costs rc ON rc.utm_source = s.utm_source
    AND rc.utm_campaign = s.utm_campaign
    AND DATE_TRUNC('day', rc.date) = DATE_TRUNC('day', s.created_at)
WHERE s.created_at >= CURRENT_DATE - INTERVAL '30 days'
GROUP BY s.utm_source, s.utm_campaign
ORDER BY revenue DESC NULLS LAST;

Call Tracking in Custom Implementation

To track phone calls, integrate with Calltouch or CoMagic. They dynamically replace the phone number on your site based on traffic source. When a call is made, they send UTM parameters via webhook.

An alternative is custom call tracking via SIP provider: a pool of virtual numbers where each visitor gets a unique number from the pool.

Dashboard in Metabase

Metabase connects directly to PostgreSQL and builds dashboards without code. For non-technical marketers, it's the optimal choice.

Development time: 4–6 weeks for custom implementation with ETL, data warehouse, and dashboard. Using Roistat — 1–2 weeks for integration.