Marketing Automation
Learn how we streamlined publisher engagement and increased profits for a top-tier US affiliate marketing network by building a recommender system.
Learn how we streamlined publisher engagement and increased profits for a top-tier US affiliate marketing network by building a recommender system.
Explore our success in deploying Business Intelligence finance reporting, streamlining complex, multinational financial consolidation for a dynamic US affiliate marketing network.
Discover how we enabled a leading Romanian car rental startup marketplace, MasiniLaCheie.ro, to transform their data analytics capabilities with MongoDB, Python, MariaDB and PowerBI.
Explore the transformative journey of a healthcare clinic as they leverage a custom-built, data warehouse on GCP BigQuery to enhance their customer segmentation and optimize their digital strategy.
Explore how Power BI transforms Amazon ad performance analytics for a leading snack manufacturer, enabling strategic marketing decisions.
Explore how Tableau enables US retailer to analyze the profitability of their multi channel sales strategy
Read how we enabled a group of email marketing publishers to efficiently manage vast amounts of email-related data.
We start from your strategic objectives and work our way back to solutions and technologies, not the other way round
Analyze profitability across industries, enabling strategic resource allocation.
Calculate and track sales team incentives based on new advertiser revenue generation.
Pinpoint high-value advertisers and publishers exceeding weekly revenue thresholds for targeted account management.
Monitor campaign performance to identify those reaching revenue milestones within specified timeframes.
Categorize advertisers, campaigns, and publishers as new, churned, or organically growing for proactive management.
Track conversion variances, rule violations, and offline conversion impact to optimize network operations.
Increase the satisfaction and earnings potential of your affiliates with personalized offer recommendations
Data Driven Customer Automation
Dynamic pricing strategies
Supply Chain Optimization based on online trends
Product Pairing Based on Online Behavior
Inventory and Product Placement Based on Online Trends
Customized In-Store Promotions and Discounts
Optimized Store Layout
Digital-Physical Hybrid Events
Localized Store Offerings
Overall equipment effectiveness reporting and analysis
Scrap analysis and reduction
Data Analysis driven root cause analysis
Data Analytics for the DMAIC process
Predictive maintenance
Resource optimization
Unified GCP data warehouses that consolidate and aggregate paid media stats from multiple platforms and accounts for transparent paid media performance monitoring and improvement
Assistance in building cross-channel digital marketing reporting for agencies lacking in-house engineering capabilities.
Transition from Google Analytics to advanced BI tools like Tableau and PowerBI for interactive, customizable dashboards and reports.
Exporting Google Analytics data to a BigQuery data warehouse to circumvent GA4 data retention policies.
Creation of intricate funnels to precisely identify and optimize for user drop-off points.
Tailor travel recommendations and experiences based on customer data analytics
Employ predictive analytics for accurate forecasting in room bookings and car rentals, optimizing pricing and availability for increased revenue.
Analyze rental patterns to streamline fleet distribution and maintenance, ensuring availability while reducing overhead costs.
Leverage data insights to improve operational processes across travel agencies, booking platforms, and hotels for superior service delivery.
Utilize advanced data analytics to gain a deep understanding of customer preferences, enabling targeted marketing and service personalization.
Apply analytics to online booking systems to provide dynamic, customized user experiences that drive higher conversion rates.
Implement data-driven marketing automation for hotels and travel agencies to deliver personalized customer journeys and enhance guest loyalty.
Creation of intricate funnels to precisely identify and optimize for user drop-off points.
Use data analytics to identify common health concerns from online trends, and communicate empathetically and clearly through digital platforms.
Create intuitive guides and resources for conditions like diabetes, using data analytics to map out patient-friendly user journeys and improve accessibility to information.
Streamline healthcare service navigation with pre-filtered options and curate care packages tailored to specific patient personnas and health goals.
Use Large Language Models (LLMs) for digital assistance, providing personalized responses and translating patient queries into actionable healthcare pathways.
Leveraging data analytics for social media outreach to raise awareness and prompt engagement in preventive care practices, such as regular check-ups and screenings.
Analysis of patient data to identify at-risk groups and offer targeted preventive care, thus fostering patient trust and expanding the clinic’s role as a comprehensive care provider.
Utilize machine learning models to predict future demand accurately, ensuring optimal inventory levels and reducing carrying costs.
Leverage advanced analytics to maintain the right stock levels, minimize waste, and reduce costs.
Implement data integration strategies to streamline operations, improve delivery times, and increase customer satisfaction.
Use data analytics solutions to assess supplier reliability, quality, and cost-effectiveness, driving better procurement decisions.
Analyze data from multiple sources to identify cost-saving opportunities in shipping and logistics operations.
Apply machine learning algorithms to segment customers effectively, enabling personalized marketing strategies and improving customer interactions.
Utilize predictive modeling to forecast customer value, focusing on retention strategies for the most profitable segments.
Employ statistical analysis to identify risk factors for churn, crafting targeted interventions to retain valuable customers.
Analyze customer behavior through surveys and feedback, generating actionable insights to enhance the customer experience.
Use artificial intelligence and recommender systems to tailor product recommendations, increasing conversion rates and customer loyalty.
Visualize data from Google Analytics and other paid media channels to track the ROI and effectiveness of marketing campaigns.
Harness big data to understand market dynamics, helping businesses adapt strategies to market changes swiftly.
Analyze the efficiency of marketing spend, optimizing budget allocation for better customer acquisition strategies.
Provide insights into customer interactions and preferences on social platforms, guiding content strategy to engage target audiences effectively.
Utilize analytics services to measure and improve the impact of SEO strategies and content marketing efforts.
Offer advanced analytics for accurate financial planning, leveraging historical data and predictive analytics for informed decision-making.
Analyze financial data to identify the most profitable products or services, advising on resource allocation for maximum return.
Implement data analytics solutions to monitor and manage cash flow, ensuring liquidity and operational stability.
Use analytics solutions to assess and mitigate financial risks, protecting against market volatility and credit risk.
Provide comprehensive dashboards that track key financial metrics, offering business users insights into financial performance and stability.
Utilize data and analytics to streamline the recruitment process, identifying the best candidates and reducing hiring times.
Deploy analytics services to monitor and enhance employee productivity, aligning workforce efforts with business goals.
Analyze HR data to ensure diversity and inclusion within the company, fostering a supportive and innovative work environment.
Leverage machine learning to predict employee turnover, implementing strategies to improve retention rates.
Use data collection and analysis to gauge employee satisfaction, creating strategies to enhance engagement and morale.
Implement data analytics tools to monitor sales performance against targets, identifying areas for improvement and growth opportunities.
Utilize data analytics solutions to improve lead conversion rates through targeted sales strategies and customer insights.
Employ predictive analytics and machine learning to accurately forecast sales trends, assisting in strategic planning and inventory management.
Analyze large volumes of transaction data to understand customer purchasing patterns, tailoring sales approaches to increase basket size.
Leverage data from various sources to evaluate the effectiveness of different sales channels, optimizing for cost-efficiency, reach and conversions.
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