Digital Marketing Automation
All abbreviations, tool names and terms marked *Click on them to go to the detailed decoding at the bottom of the page.

Digital Marketing Automation

We optimize your marketing with open source tools, increasing your ROI* up to 5x and reducing the routine by 70%. Mautic* Kafka* Provide seamless* campaigns with CTR* up to 5.1 per cent.

Start optimizing

Effective marketing without routine

Digital marketing requires speed and precision. We use it. Mautic* Automating email marketing and Matomo* для анализа поведения users, обеспечивая рост конверсий на 30-50%. Наши решения на базе Apache Kafka* Apache Airflow* data pipelines* Reducing the time for analytics from 10 hours to 1 hour.

For e-commerce*-platforms we've integrated Mautic* Odoo*, automatized lead nurturing* based on data from Yandex.Metrics.It's increased. open rate28% and sales* by 22 percent. We minimize manual work* providing 152-FZ*-compliance and full control of data.

How do we work?

Audit: Analyzing data from CRM*, websites, social networks. pipeline*: Kafka* collects events, Flink* Analyzes in real time, Superset* visualizes. B2C*-In business, this reduced the time from click-to-offer from 8 minutes to 2 seconds, increasing conversions by 20%.

Analytics: Data for Growth

Matomo* Local alternative to analytics, tracking 100+ metrics bounce rate*, traffic sources, behaviors. Installing on your server guarantees 152-FZ*-compliance. We integrate. Matomo* Bitrix24* Showing how 40% of the traffic is Yandex.Direct.* Convert to leads and optimize through A/B testing* Increases conversion by 25%.

How we use it. Matomo*

Precise segmentation

Create segments: users with 3+ visits are labeled as “high interest” and transmitted to the public. MauticFor you. B2B*-companies that increased qualified leads by 35% with automation lead nurturing*.

  • Filters by regions of the Russian Federation, devices, behavior.
  • Integration with CRM* (Bitrix24*) with an accuracy of 98%.
  • ROICampaigns grew from 2.5x to 4.8x after mobile optimization*.

Conversions and ROAS*

Matomo* tracks transactions to the accuracy of the ruble. goals* Forms increased conversion by 18% after redesign landing pageFor you. e-commerce* it gave +2.5 million ⁇ revenue* Optimize for 70% of mobile traffic.

PostHog* product analytics* creates heatmaps*, analyzes funnelsFor you. SaaS*-startup PostHog* Revealed 22% churn* on stage onboarding* by reducing the outflow by 15%. VK* Telegram* collects events (info)CTA* Clicks, optimizing UX* that increased retention20%.

Streaming data: Speed and accuracy

Apache Kafka* Processes 1M+ events/secs latency* <10 ms, collecting data from websites, apps, CRMFor the retailer. pipeline* Kafka* recommendation engine* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * cross-sell30%.

How we implement Kafka*

Scalability

cluster partitioning* user ID* Provides ordered processingFor a media company with 15k+ events/sec latencyPersonalization decreased from 3 minutes to 1.2 seconds engagement* up 40 percent.

Apache Flink* real-time analytics*: windowing* для подсчета уникальных users за 5 минут с exactly-onceFor you. fintech*-startup Flink* fraud* PPC*-campaigns, saving 1.2 million ⁇ /month bot traffic* >10%.

ML*-integration

Flink* TensorFlow* churn prediction*, accuracy* 91%, 18% reduction in outflows.

Campaign Management: Orchestrating Without Errors

Apache Airflow* orchestrate data pipelines*, integrating Matomo*, Bitrix24* and Telegram*C. Celery* Executor* We handle 150+ tasks/hour with uptime99.9% Automation for the agency reporting* reduced the time from 30 hours/week to 3.

How we implement Airflow*

Dynamic workflows*

DAGs* for new sources without code. 10 campaigns in VK* onboarding*Channels accelerated by 55%.

Odoo* CRM* lead scoring*+10 for CTA* TelegramFor. SMB* close rate* increased from 10% to 25%, 100+ KPIs* in reports. Integration with Pimcore* (PIM*/DAM*) automates content by increasing sales20%.

Visualization: Data that sells

Apache Superset* dashboards* KPIs*: ROAS*, CAC*, LTVFor the marketplace. Superset* Revealed a 15% drop in funnels*, increasing revenue• 25% after optimization.

How we use it. Superset*

Interactive BI*

Semantic layer* for uniform metrics. Drill-down* In the regions of the Russian Federation accelerates insights65%. Caching* shorten query time* up to 1.5 seconds on 2M rows*.

Grafana* monitor time-series*, sending alerts* Telegram* anomalies* (>160% spikes). fintech* it's cut down fraud* 90% saving 3 million ⁇ Redash* ad-hoc queries* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * CTR* VK20%.

Dashboards* actionable insights*: CAC* 3000 ₽, LTV* 25000 ₽, revenue+30% due to point optimization.

Decoding of terms

  • MauticMarketing automation platform for email, lead scoring and campaigns.
  • MatomoOpen source web analytics tracks traffic and behavior metrics.
  • Apache Kafka: A platform for processing streaming data with high bandwidth.
  • Apache AirflowA tool for orchestrating data pipelines through DAGs.
  • OdooCRM/ERP system for sales and marketing management.
  • Apache Superset: BI tool for interactive dashboards.
  • PostHogProduct analytics tool, analyzes heatmaps and funnels.
  • Grafana: A platform for time-series data visualization and alerting.
  • RedashA tool for joint SQL queries and visualization.
  • PimcoreProduct Management System (PIM) and Media (DAM)
  • TensorFlow: A framework for developing ML models.
  • Bitrix24CRM system for managing leads and sales.
  • Yandex.Metrica.: An analytics service to track traffic.
  • Yandex.Direct.: A contextual advertising platform.
  • VKSocial network for promotion and analytics.
  • TelegramMessenger for campaigns and notifications.
  • ROIReturn on Investment – Return on Investment.
  • CTRClick-Through Rate – Percentage of clicks on ads.
  • ROASReturn on Advertising Spend – Return on Advertising Spending
  • CACCustomer Acquisition Cost – Cost of attracting a customer.
  • LTVLifetime Value is the lifetime value of the customer.
  • bounce rate: Процент users, покинувших сайт после одной страницы.
  • A/B testing: Comparison of page versions or campaigns.
  • open rate: Percentage of email openings.
  • e-commerce: E-commerce, online sales.
  • lead nurturingEngage leads through personalized campaigns.
  • product analytics: Анализ поведения users в продукте.
  • heatmaps: Тепловые карты активности users.
  • funnels: Sales funnels for conversion analysis.
  • churn: Отток users или клиентов.
  • onboarding: Процесс внедрения users в продукт.
  • CTACall to Action – Call to Action.
  • UXUser Experience – User Experience.
  • retention: Удержание users, снижение оттока.
  • data pipeline: Data processing pipeline.
  • latency: Delayed processing of data.
  • recommendation engine: A system of personalized recommendations.
  • cross-sellCross-selling of additional products.
  • partitioning: Separation of data for parallel processing.
  • user ID: Unique user ID.
  • ordered processing: Orderly processing of data.
  • engagement: Вовлеченность users в продукт.
  • horizontal scaling:Scaling the system through adding nodes.
  • event replayReproduction of events for analysis.
  • backtesting: Testing on historical data.
  • upliftImprove metrics after optimization.
  • fintechFinancial technology, including payments.
  • fraudFraudulent activity, such as fake clicks.
  • PPCPay-Per-Click – Pay for Clicks.
  • bot trafficTraffic from bots.
  • MLMachine Learning is machine learning.
  • churn prediction: Прогноз оттока users.
  • accuracy: Accuracy of model predictions.
  • Celery: A system of tasks queues for parallel execution.
  • uptime: The system's uninterrupted operation time.
  • reporting: Creating reports for monitoring KPI.
  • dynamic workflowsFlexible processes without code.
  • DAGsDirected Acyclic Graphs are graphs for orchestrating tasks.
  • XCom: The mechanism for data exchange in Airflow.
  • MTTRMean Time to Resolve – Time to Resolve Errors
  • Kubernetes: Platform for orchestrating containers.
  • PIMProduct Information Management – Product Data Management.
  • DAMDigital Asset Management – Media Management.
  • close rate: Percentage of closing transactions.
  • KPIsKey Performance Indicators: Performance Indicators.
  • salesSales measured in volume or income.
  • interactive BIInteractive business analytics.
  • semantic layer: Data layer for unification of metrics.
  • drill-down: Details of data.
  • insights: Useful conclusions from the data.
  • caching:Caching data for acceleration.
  • query time: Time of execution of requests.
  • rows: Data lines in analytics.
  • time-series: Data ordered over time.
  • anomaliesAnomalies in the data.
  • ad-hoc queries: Data requests on demand.
  • revenueSales revenue.
  • seamlessSmooth flow of data or processes.
  • 152-FZ: The Russian law on the protection of personal data.
  • B2C: A business model for end users.
  • B2B: A business model for companies.
  • SMB: Small and medium-sized businesses.
  • mobile optimization: Optimization for mobile devices.
  • goals: Conversion goals, such as completing a form.
  • landing page: Landing page for leads.
  • manual workManual processes that are subject to automation.
  • cost savings: Cost savings.
  • real-time analytics: Real-time analytics.
  • windowing: Processing data in time windows.
  • exactly-once: Guarantee of single processing.
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