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

Marketing Automation

We transform your marketing with open source tools, delivering 30-50% conversions and a 70% reduction in routine. Streaming data* analytics• Work together to ensure your campaigns are accurate and effective.

Start optimizing

Your marketing is our automation

Data is the heart of marketing, but without processing, it's useless. We're introducing open source tools like this. Apache Kafka*, Matomo* SupersetInstead of spreadsheets, you get a single stream, analyzed in real time, with a single stream, which is a very simple, very simple, very simple, very simple, very simple. open rateWe reduce reporting time by 70% and increase segmentation accuracy to 95%.

Our goal is to adapt tools to your business. e-commerce* we integrated Mautic* Kafka* by automating emails based on behavior, increasing click-through rate by 22 percent. No cloud subscriptions, full control and scalability. bottlenecks* and implement Apache Airflow* ETL* providing seamless* data flow*.

How do we work?

Data audit: CRM*, the website, the social media. pipeline*: Kafka* collects events, Flink* analyzes, Superset* visualizes. B2C*--the company reduced the time from click to offer from 10 minutes to 3 seconds, increasing conversions by 18%.

Analytics: Seeing and acting

Matomo* - alternative Google Analytics*, tracks 100+ metrics: bounce rate*, traffic sources, behaviors, installed on your server, providing GDPR*-compliance and control. We integrate Matomo* WordPress* showing how 45% of organics convert to leads and optimized through A/B testing* Increases conversion by 20%.

How we use it. Matomo*

Precise segmentation

Custom segments: Users with 5+ views are labeled as “high interest” and transmitted to the public MauticFor you. B2B*-Customer This Increased Qualified Leads by 38% with Automation nurturing*.

  • Filters on geo, device, behavior.
  • Transfer of leads to CRM* with 98% accuracy.
  • ROI* Campaigns grew from 2.8x to 4.5x after mobile optimization*.

Conversions and ROI*

Matomo* tracks transactions to a cent. Setup goals* Forms increased conversion by 15% after redesign landing pageFor you. e-commerce* it gave +$50k revenue* Optimize for 65% of mobile traffic.

PostHog* product analytics*: recording user sessions* creates heatmaps*, analyzes funnelsFor you. SaaS*-client PostHog* Revealed 20% churn* step 3 onboarding* by reducing the outflow by 15%. backend* collects events (info)CTA* Clicks) and optimizes UX*, increasing retention25%.

Matomo* + PostHog* = 360-degree view. We're creating a single source of truth* where reports show how the Instagram campaign generated 10% of traffic with a conversion rate of 7.9%.

Streaming data: real time, real result

Apache Kafka* Processes 1M+ events/secs latency* <10 ms, collecting data from the website, app, 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 20k+ events/sec latencyPersonalization decreased from 4 minutes to 1.5 seconds engagement* up 42 percent.

Apache Flink* real-time analytics*: windowing* to count unique users in 5 minutes exactly-onceFor you. fintech* Flink* identified fraud* PPC*-campaigns, saving $18k/month bot traffic* >12%.

ML*-integration

Flink* TensorFlow* for onstream churn prediction*, accuracy* 90%, reduction of outflow by 20%.

Apache Spark Streaming* for hybrid batch-streaming*: micro-batches2-5 seconds for daily reports* e-commerce* Spark* Revealed 97% fraud*, defending $250k. Caching* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * compute time55%.

Apache Storm* for lightweight topologies*: alerting* traffic spikes* >180% through Slack*. Trident* Eliminates 100% duplicates email sends*. Pipeline* (Kafka* → Flink* → Spark* gives latency* <50 мс, CTR* banners increased from 2.3% to 5.1%.

Management: Orchestra without chaos

Apache Airflow* orchestrate ETL*: pull from Matomo*, transform in Spark*, load in data lake*C. Celery* Executor* handles 150+ tasks/hour, 99.8% uptimeFor the agency. reporting* decreased from 35 hours/week to 4.

How Airflow* optimize

Dynamic workflows*

DAGs* from config files* for new sources without code. onboarding* channels accelerated by 60%.

Pimcore* (PIM*/DAM* manages 15k+ products, integration with Mautic* Automate the content: inventory* <8% → promo email, +20% sales*. Faceted navigation* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * search relevance33%.

Odoo* (CRM*/ERP*): lead scoring* +15 for CTA* click), nurturing sequencesFor you. SMB* close rate* increased from 12% to 27%, 120+ KPIs* in the reports. Modularity*: Airflow* + Pimcore* + Odoo* = zero manual work*.

Visualization: Data that speaks

Apache Superset* BI*: connects to 35+ sources (Kafka*, PostgreSQL*). Dashboards* 60+ charts* are updated every 4 minutes. Superset* Revealed 22% drop in funnel*, +25% revenue* after the fix.

How we use it. Superset*

Interactive BI*

Semantic layer* for consistent metrics*. Drill-down* by region accelerates insights65%. Caching* shorten query time* up to 1.8 seconds on 2M rows*.

Metabase* for non-tech users*: ad-hoc queries* without SQL*. e-commerce* ROAS* Up to 5.2x, +35% in targeted ads* Slack* alerts* ROI* <1.8x.

Grafana* time-series*: monitoring Kafka* events, alerting* anomalies* (>170% spikes). SaaS* churn prediction* 89% accuracy*, +21% retention*. Redash* for collaborative SQL*, geo-maps* for ads* CTR* +23%.

Dashboards* actionable insights*: CAC* $40, LTV* $350, breakdown (email 48%, social 29%). ROI* BI* 6x+ through fast decisions*.

Decoding of terms

  • Apache KafkaA real-time streaming data processing platform that scales to millions of events per second with minimal latency.
  • MatomoOpen source web analytics tracks user behavior, conversions, and traffic metrics by storing data on your server.
  • Apache SupersetBusiness Analytics Tool for Creating Interactive Dashboards with Support for 35+ Data Sources
  • MauticA platform for marketing automation, including email, lead scoring and behavior-based campaigns.
  • Apache AirflowSystem for orchestrating ETL processes and automating complex workflows using DAGs.
  • Apache Spark StreamingA tool for processing big data in micro-batches, suitable for hybrid batch-streaming tasks.
  • SparkBig data platform optimized for analytics and machine learning.
  • Apache StormA system for processing data streams with low latency, suitable for alerting and topologies.
  • TridentApache Storm layer for transaction processing with the guarantee of eliminating duplicates.
  • PimcoreProduct and Digital Asset Management (DAM) System for Directories and Content.
  • OdooERP/CRM system for managing business processes, including sales, marketing and accounting.
  • PostHogProduct analytics tool that analyzes user behavior through heatmaps and funnels.
  • GrafanaTime series visualization platform, supports monitoring and alerting.
  • RedashA tool for collaborative SQL queries and data visualization, including geo-maps.
  • Metabase: BI-tool for non-tech users, supports ad-hoc queries and simple dashboards.
  • ETLThe process of extracting (Extract), transforming (Transform) and loading (Load) data for analytics.
  • CRMCustomer relationship management system, automates sales and marketing.
  • B2BA business model that focuses on working with other companies.
  • B2CA business model that is focused on end users.
  • GDPR: EU data protection regulation ensuring confidentiality.
  • ROIReturn on Investment: Return on Investment Metrics, which measures cost effectiveness.
  • bounce ratePercentage of users leaving a website after viewing a single page.
  • A/B testingA method of comparing two versions of a page or campaign to choose the best one.
  • open rate: Percentage of users who opened email.
  • e-commerce: E-commerce, online sales of goods and services.
  • heatmapsHeat maps showing user activity areas on the site.
  • funnelsSales funnels that display the stages of user conversion.
  • churn: The outflow of users who have left a product or service.
  • CTACall to Action – a call to action, such as a “Buy” button.
  • UXUser Experience: User experience that affects product usability.
  • retention: Retention of users, reduction of outflow.
  • latency: Data processing delay, measured in milliseconds.
  • cross-sellCross-selling, offering additional products.
  • throughput: System bandwidth, volume of processed data.
  • event replayReproducing events for analysis or testing.
  • backtestingTesting strategies on historical data.
  • upliftImprove metrics after optimization, such as conversions.
  • PPCPay-Per-Click is a payment model for advertising per click.
  • fraudFraudulent activity, such as fake clicks.
  • MLMachine Learning is machine learning for forecasting and analytics.
  • TensorFlow: A framework for developing machine learning models.
  • churn predictionPredicting the outflow of users using ML.
  • accuracyAccuracy of model forecasts, measured as a percentage.
  • micro-batchesSmall data packets for stream processing.
  • compute time: Time spent on calculations.
  • alerting: An event or anomaly notification system.
  • email sends: The process of sending emails.
  • pipelineConveyor of data processing from collection to visualization.
  • CTRClick-Through Rate – Percentage of clicks on ads or links.
  • DAGsDirected Acyclic Graphs are directed graphs for orchestrating tasks.
  • XComCross-Communication is a mechanism for exchanging data between tasks in Airflow.
  • MTTRMean Time to Resolve is the average time to resolve errors.
  • Kubernetes: A container orchestration platform that automates scaling.
  • PIMProduct Information Management – Product Information Management.
  • DAMDigital Asset Management – Digital Asset Management.
  • inventoryStocks of products tracked for marketing.
  • faceted navigation: Facet navigation to improve search.
  • search relevanceRelevance of search results to users.
  • lead scoringEvaluate leads by their potential for conversion.
  • nurturing sequencesAutomated sequences for engaging leads.
  • SMBSmall and Medium Business is a small and medium-sized business.
  • close rate: Percentage of successful closing of transactions.
  • KPIsKey Performance Indicators: Key Performance Indicators.
  • BIBusiness Intelligence is a business intelligence for decision making.
  • PostgreSQLOpen source database, supports complex queries.
  • dashboardsInteractive panels for data visualization.
  • semantic layer: Data layer for unification of metrics in BI.
  • drill-downDetailing the data for in-depth analysis.
  • insightsUseful conclusions from data for decision-making.
  • query time: Time of execution of analytical queries.
  • rowsData strings in database or analytics.
  • ROASReturn on Advertising Spend – Return on Advertising Spending
  • time-seriesData ordered over time for monitoring.
  • anomaliesAnomalies in data that require attention.
  • ad-hoc queries: Data requests executed on demand.
  • CACCustomer Acquisition Cost – Cost of attracting a customer.
  • LTVLifetime Value is the lifetime value of the customer.
  • actionable insights: Conclusions that can be applied to improve the business.
  • streaming dataData processed in real time for instant analytics.
  • analyticsAnalysis of data to identify trends and make decisions.
  • bottlenecksBottlenecks in processes that reduce efficiency.
  • seamlessA smooth, uninterrupted flow of data or processes.
  • data flowData flow through the system, from collection to use.
  • single source of truthA single source of reliable data for analytics.
  • product analyticsAnalysis of user behavior in the product for optimization.
  • user sessions: User interaction sessions with the product.
  • nurturingThe process of engaging leads through personalized campaigns.
  • mobile optimizationOptimize websites and campaigns for mobile devices.
  • goals: Conversion goals, such as completing a form or buying.
  • landing page: Landing page to attract leads or sales.
  • revenueIncome derived from sales or services.
  • SaaSSoftware as a Service is software provided as a service.
  • onboarding: The process of introducing users into the product.
  • backend: The server part of the application that processes data.
  • recommendation engine: A recommendation system based on user data.
  • partitioning: Separation of data for parallel processing.
  • user ID: Unique user ID in the system.
  • ordered processing: Orderly processing of data by sequence.
  • engagementThe level of user engagement in a product or campaign.
  • horizontal scaling:Scaling the system by adding nodes.
  • cost savings: Cost savings through process optimization.
  • real-time analytics: Real-time data analytics.
  • windowing: Processing data in time windows for streaming analytics.
  • exactly-once: Guarantee of single data processing without duplication.
  • fintechFinancial technology, including payments and analytics.
  • bot trafficTraffic generated by bots, not real users.
  • batch-streamingHybrid processing of data in packets and threads.
  • caching:Caching data to speed up processing.
  • topologies: Data processing structures in streaming systems.
  • traffic spikes: Sharp spikes in traffic that require monitoring.
  • SlackMessenger for team communication and notifications.
  • data lakeCentralized storage of raw data for analytics.
  • Celery: A system of tasks queues for parallel execution.
  • uptime: The system's uninterrupted operation time.
  • reportingCreation and analysis of reports for monitoring KPI.
  • dynamic workflowsFlexible processes that are customizable without code.
  • auto-scaling: Automatic scaling of resources under load.
  • compute costs: Costs of computing resources.
  • salesSales measured in volume or income.
  • modularityModular architecture for system flexibility.
  • manual workManual processes that can be automated.
  • Google Analytics: A popular web analytics platform from Google.
  • WordPressCMS for creating and managing websites.
  • interactive BIInteractive business analytics with drill-down capability.
  • fast decisions: Quick decision-making based on data.
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