How our Services are Applied
At Advance Adtech, we take a consultative approach to every project. That means we don’t force one-size-fits-all frameworks — instead, we define the best-fit solution for your business, balancing the most robust methodologies with the most cost-efficient path. By combining human expertise with AI-powered techniques, we deliver insights faster, more accurately, and at a lower cost than traditional methods. Whether it’s research, marketing effectiveness, or digital analytics, our approach ensures every recommendation is both strategically sound and practically actionable.
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We design research programmes that maximise insight while minimising cost. We first scan existing sources (secondary data, industry benchmarks), then deploy AI-optimised qualitative and quantitative methods. This approach shortens timelines, reduces costs, and ensures your study delivers high-quality findings quickly — without unnecessary expense.
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Our approach to Marketing Mix Modelling (MMM) is redefined with AI. Traditional models are static; our AI-driven models are updated in real time, producing insights based on fresh, continuously flowing data. This delivers greater precision, sharper attribution across channels, and enhanced forecasting capabilities to support smarter planning and budget allocation.
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Proving uplift has never been faster. Using our systems, we can deploy digital testing across audiences and regions in days, not weeks, measuring incremental impact with confidence. This allows us to quickly identify what works, avoid wasted spend, and ensure every campaign contributes measurable value.
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We go beyond surface-level metrics by converting creative assets into data. Using AI, we analyse messaging, formats, and design elements to determine which components truly drive engagement and conversions. This enables rapid creative testing, optimising campaigns to increase impact and resonance with your target audience.
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Through advanced funnel analysis, A/B testing, and conversion tracking, we optimise your web and product experiences. By layering AI-driven diagnostics on top of analytics, we can pinpoint friction points with greater accuracy and recommend changes that directly enhance customer experience and conversion rates.