Agency of the Year

5.0

Enterprise Agency

Customer Behaviour Analytics for Media Platforms

Analyze viewer behavior, predict engagement trends, and optimize content with AI-driven behavioral analytics.

Agency of the Year

5.0

Enterprise Agency

8 founders booked a call this week

We’ve created products featured in

2x Cheaper

10x Faster

200+ Products Launched

100% 5* reviews on Clutch

Our Services

Audience Insight Systems

Uncover what content resonates and keeps your audience engaged.

Data Silos and Fragmentation

OTT and Media companies struggle with fragmented customer data spread across multiple platforms and tools. Manual workflows to consolidate this data are time-consuming and error-prone, leading to incomplete or inconsistent insights. Existing analytics tools often fail to integrate disparate data sources effectively, resulting in wasted resources and missed opportunities to understand viewer behaviour holistically. This fragmentation also increases compliance risks, as managing user consent and data privacy across systems becomes cumbersome and error-prone, threatening regulatory compliance and customer trust.

Inefficient Content Personalization

Personalizing content for millions of users manually or with outdated tools leads to inefficient workflows and suboptimal user experiences. Current solutions lack real-time adaptability and deep behavioural insights, causing media platforms to rely on broad segmentation rather than individualized recommendations. This results in wasted marketing spend, lower engagement rates, and higher churn. The manual processes to analyze and act on viewer data are slow, increasing operational costs and delaying time-to-market for tailored experiences that modern OTT consumers demand.

GDPR-Compliant Data Flow

With evolving data privacy regulations like GDPR and CCPA, OTT platforms face mounting challenges ensuring compliance throughout customer data workflows. Manual tracking and consent management workflows increase the risk of breaches and fines. Traditional analytics platforms often lack built-in compliance features, forcing media companies to patch together multiple tools, which adds complexity and potential vulnerabilities. This fragmented approach leads to inefficient audits, delayed responses to data subject requests, and ultimately, risks damaging brand reputation and losing subscriber trust.

Automated Trend Reporting

OTT platforms often rely on manual data aggregation and reporting to understand viewer trends and campaign effectiveness. This slows decision-making and increases the risk of errors. The lack of automation in workflows means marketers and content managers spend excessive time compiling reports instead of acting on insights. Current tools inadequately support dynamic, real-time analysis, resulting in missed opportunities to optimize content scheduling, ad placements, and user engagement strategies, ultimately impacting revenue growth and operational efficiency.

Predictive Audience Modeling

Many OTT and Media platforms use basic analytics that fail to leverage predictive modelling to anticipate customer behaviour. Without automation and AI-driven insights, workflows remain reactive rather than proactive, leading to missed chances to reduce churn or upsell effectively. Current tools often lack integration with machine learning frameworks, limiting the ability to forecast trends, segment users dynamically, or personalize experiences at scale. This shortfall results in inefficient resource allocation and lost competitive advantage in an increasingly crowded streaming market.

Ready to replace chaos with clockwork?

See How We Work

Custom internal tools & lightweight SaaS products

that actually fit your business

How We Automate

Smart Engagement Tracking

Automation connects content metrics to real-time audience actions.

Unified Data Integration and Automation

Before implementing Customer Behaviour Analytics, OTT workflows involved manual data consolidation across CRM, streaming logs, and ad platforms, causing delays and inconsistencies. Our solution automates data ingestion and normalization from all relevant sources, creating a unified, real-time customer profile. This reduces manual effort by over 70%, eliminates errors, and accelerates insight generation. Decision-makers gain a 360-degree view of user behaviour, enabling more accurate segmentation and targeted campaigns. The result is streamlined workflows that reduce compliance risks and improve operational efficiency dramatically.

Real-Time Personalization Engine

Previously, content personalization relied on static segments updated infrequently, limiting relevance and engagement. By automating behavioural data analysis with AI, our platform delivers real-time personalized recommendations tailored to individual viewing patterns. This workflow improvement boosts content engagement by 25% and reduces churn by 20%. Marketers and content teams save time on manual segmentation and can focus on strategic initiatives. The automation also enables dynamic A/B testing and rapid iteration, optimizing user experience continuously and driving measurable business growth.

Automated Compliance Tracking

Manual compliance checks and consent tracking workflows are slow and error-prone, exposing media companies to regulatory risks. Our analytics solution integrates automated compliance monitoring that tracks consent status and data usage in real-time across all touchpoints. This automation reduces audit preparation time by 60% and minimizes risk of non-compliance fines. Legal and data teams receive timely alerts on policy changes or violations, allowing proactive remediation. The streamlined workflow ensures privacy regulations are met without compromising data-driven marketing and personalization efforts.

Automated AI Reporting Dashboards

Before automation, OTT teams spent hours manually compiling reports from disparate sources, delaying decision-making. Our platform automates report generation and delivers actionable insights through dashboards powered by AI-driven analytics. This reduces reporting time by 80% and increases decision speed, enabling marketing and content teams to respond rapidly to trends. Automated workflows also provide predictive insights, helping optimize ad spend and content scheduling. The result is a more agile operational model that drives higher ROI and improves user satisfaction.

AI-powered

Predict Viewer Trends

AI models anticipate content preferences and attention drops.

Advanced Behavioural Segmentation

Leveraging AI, our platform dynamically segments users based on viewing habits, engagement, and preferences rather than static demographics. This achieves hyper-personalization at scale and integrates seamlessly with marketing automation tools. The AI-driven segmentation improves targeting accuracy by over 30%, enhancing campaign effectiveness and user satisfaction. This feature transforms traditional workflows by replacing manual segmentation with continuous, data-driven updates, enabling OTT platforms to react instantly to shifting consumer behaviours.

Anomaly Detection and Alerting

Our AI models continuously monitor customer behaviour data to detect anomalies such as sudden drops in engagement or unexpected churn spikes. Integrated into operational dashboards, these alerts enable rapid investigation and intervention, reducing churn impact by up to 20%. This automation frees analysts from routine monitoring tasks, focusing their efforts on high-value problem solving. The feature enhances workflow responsiveness and operational resilience in a fast-moving media environment.

Predictive Content Recommendation

By analyzing historical and real-time viewer data, AI generates personalized content recommendations that anticipate user interests before explicit signals appear. This capability integrates directly with OTT streaming engines to deliver seamless, relevant experiences. The result is a 25% increase in content consumption and longer session durations. Automating recommendation workflows reduces manual curation effort and improves content discovery, driving higher engagement and subscription retention.

Automated Campaign Optimization

AI continuously evaluates marketing campaign performance across channels, automatically adjusting targeting and budget allocation for maximum ROI. Integrated with ad tech and CRM systems, this feature improves campaign efficiency by up to 30%. It replaces manual A/B testing and guesswork with data-driven decisions, accelerating workflow cycles and enabling marketers to focus on strategy and creative development. This leads to better customer acquisition and retention outcomes in competitive OTT markets.

Success Stories

See How Our Custom Tools Run Real Businesses

200+ Launches. 5-Star Results. Countless hours saved for teams.

Bellmade

Legacy App Rebuilt

12h/week

Revenue Lift

+20%

A redesigned tool with clean UX saves the founder's time and earns more.

Clean UX Design

Freeholder

Platform Migration

Project Time

8 weeks

Time Saved

10h/week

From spreadsheet chaos to one clean platform. Thanks to a custom tool that was tailor-made for their workflow.

Spreadsheet to Platform

Bunker Ex

Task Automation

Delivery Time

1 Month

Time Saved

10h/week

A custom-built mobile app ended support calls and gave clients real-time status updates.

Mobile App + Real-time Updates