Mediamath's programmatic media platform for DTC ecommerce brands. Scale D2C manages MediaMath campaigns with data-driven strategy, precision targeting, and full-funnel optimisation — turning programmatic spend into profitable, scalable DTC growth.
We don't just run campaigns — we build programmatic infrastructure. Our MediaMath specialists understand the enterprise programmatic DSP enabling omnichannel media buying with advanced audience management and attribution capabilities and how to use it to find and convert your best customers at profitable scale.
We layer first-party customer data, lookalike modelling, and MediaMath's native audience tools to reach high-intent buyers across the full funnel — from cold prospecting to high-purchase-intent retargeting.
Every MediaMath campaign comes with full transparency — impression-level data, viewability scores, brand safety reports, and ROAS attribution tied directly to your ecommerce platform.
Programmatic creative makes or breaks performance. Our in-house creative team produces dynamic, data-driven ad units specifically designed for MediaMath's formats and audience contexts.
We integrate MediaMath into your full media mix — coordinating with Meta, Google, TikTok, and email to eliminate frequency overlap, reduce CAC, and maximise LTV across every touchpoint.
Our proprietary AI models continuously optimise MediaMath bid strategies, audience segments, and creative rotation — outpacing manual optimisation by 3-4x in efficiency gains.
150+ DTC brands scaled. $2B+ in tracked client revenue. Our MediaMath campaigns consistently deliver 30-50% lower CPAs and 2-3x ROAS improvement within the first 90 days.
End-to-end MediaMath campaign architecture — audience mapping, bid strategy design, supply-path optimisation, brand safety setup, and measurement framework configuration before a single dollar is spent.
First-party data activation, customer match uploads, lookalike seed building, and DMP audience integration within MediaMath — ensuring every impression reaches your highest-value potential customers.
Programmatic creative production and DCO setup — serving personalised ad creative based on audience segment, funnel stage, browsed products, and contextual signals in real-time.
Multi-touch attribution, incrementality testing, and cross-channel measurement — proving the true contribution of MediaMath to your overall DTC revenue, beyond last-click.
Weekly bid adjustments, audience expansion testing, creative refresh cycles, supply quality monitoring, and viewability optimisation — continuous improvement driving compounding performance gains.
Custom dashboards, weekly performance reports, and monthly strategic reviews connecting MediaMath performance to business outcomes — revenue, customer acquisition, LTV, and payback period.
We audit your current programmatic setup, define KPIs, map your audience, and build a MediaMath-specific strategy aligned to your DTC growth goals.
First-party data activation, pixel deployment, audience segment creation, and production of MediaMath-optimised ad creative across all formats.
Campaign launch with real-time monitoring. Daily bid adjustments, supply quality filtering, and creative rotation in the first 30 days to establish baseline performance.
Once profitable unit economics are proven, we scale systematically — expanding audiences, increasing budgets, and coordinating MediaMath with your full media mix.
A MediaMath agency manages your programmatic campaigns on the platform end-to-end — audience setup, bidding strategies, supply path optimisation, creative rotation, and attribution. Scale D2C runs MediaMath as part of a full-funnel DTC media strategy, ensuring every impression works toward measurable revenue.
MediaMath has specific strengths in inventory type, audience data quality, and targeting precision. Scale D2C evaluates the right DSP mix per brand — many DTC advertisers run 2–3 DSPs simultaneously for reach efficiency. We recommend MediaMath when its audience targeting or supply relationships match your customer acquisition goals.
Most DTC brands need $5,000–$15,000/month on MediaMath to generate statistically meaningful data and exit the platform learning phase. Scale D2C recommends a 60-day test period before scaling budget, with agreed ROAS targets set before spend begins.
Scale D2C measures MediaMath performance through view-through and click-through attribution, incrementality testing, cost per acquisition, and ROAS. All MediaMath data integrates into your unified marketing dashboard alongside Meta, Google, and email for full cross-channel reporting.
MediaMath works best for DTC brands with defined first-party audience segments and a clear retargeting or prospecting strategy. Scale D2C conducts a paid media audit to determine whether MediaMath fits your current funnel stage before recommending any DSP investment.
Tell us about your brand and we'll show you exactly how we'd use MediaMath to scale your customer acquisition. Free strategy consultation — no commitment.