What does digital analytics do?
Digital analytics collects, measures, and interprets data from your online marketing channels—websites, social media, email, and paid campaigns. It helps businesses understand how audiences interact with their content, which campaigns drive conversions, where users drop off in the funnel, and how marketing spend is performing, enabling smarter, evidence-based decisions rather than guesswork.
What are the 4 types of digital analytics?
The four core types are: Descriptive Analytics (what happened—past performance reports and dashboards), Diagnostic Analytics (why it happened—root cause analysis), Predictive Analytics (what will happen—AI-driven forecasting models), and Prescriptive Analytics (what should you do—actionable recommendations). Codiot's analytics practice covers all four layers to give clients a complete picture of their marketing ecosystem.
What marketing channels can you track and analyze?
We can track and analyze virtually all digital marketing channels, including organic search (SEO), paid search (PPC/Google Ads), social media platforms, email marketing, affiliate programs, display advertising, and e-commerce storefronts. Our data engineering team builds unified pipelines that consolidate multi-channel data into a single, coherent reporting environment for a 360-degree view.
How do you measure marketing ROI?
We implement attribution modeling—spanning first-touch, last-touch, and multi-touch models—to accurately assign revenue value to each marketing touchpoint. Combined with custom KPI dashboards and conversion tracking, we give you a clear, auditable picture of exactly which campaigns, channels, and audiences are generating returns relative to your investment.
Do you use AI in your analytics services?
Yes. AI is central to everything we do at Codiot. We integrate machine learning models for predictive audience segmentation, anomaly detection in campaign data, automated insight generation, and spend optimization recommendations. For businesses not yet leveraging AI in their analytics stack, we provide structured onboarding to ensure a smooth and impactful adoption process.
Can you build custom analytics dashboards for our team?
Absolutely. Our Business Intelligence team designs fully custom dashboards tailored to your team's specific KPIs, reporting cadence, and data sources. Whether you need real-time campaign monitoring, executive-level summaries, or granular channel breakdowns, we build dashboards that surface the right information to the right stakeholders without unnecessary complexity.
Is your analytics service suitable for startups and small businesses?
Yes, our services are designed to scale with businesses at every stage. For startups and SMEs, we focus on establishing clean data foundations, identifying the highest-impact metrics early, and deploying cost-efficient analytics setups that grow alongside your marketing efforts. You get enterprise-grade analytical rigour without enterprise-level overhead or complexity.
How long does it take to set up a digital analytics solution?
Initial setup timelines vary by complexity. A foundational analytics implementation—including tracking setup, data pipeline configuration, and a baseline dashboard—typically takes two to four weeks. More advanced engagements involving AI model integration, multi-platform data engineering, or enterprise BI infrastructure may take six to twelve weeks. We provide a clear project timeline after the initial discovery consultation.