Official
Partner
Most ecommerce brands aren't short of data. They're short of people who know what to do with it. VALDA sits between your numbers and your decisions. Across marketing, margin, inventory, operations and everything in between.
Your ROAS looks fine. Your margins don't. That's usually not a marketing problem, it's a fulfilment cost, a returns rate, or a dead SKU eating working capital. We look at the full picture because that's where the real answer usually is.
Valda gives you the outside perspectives to grow with Dema AI without any snow-blinded bias of being in the business day to day.
We help you make every decision the most optimal one.
Make data driven decisions on where to spend the next 100K. Don’t make multi-million pound decisions on partial or channel biased decisions. Cookie data and tracking is becoming more limited and will be the biggest factor in stunting growth. Turn a 100K bet into a forecasted data backed return.
We will redeploy your current budgets to increase incremental revenue by 15-20%
Backed marketing teams for decision making:
“If ROAS ≥ target, scale spend”
Often leads to overscaling channels that are already saturated or just recapturing existing customers. Limited ability to forecast: teams can’t confidently say what +20% or −20% spend will do to total revenue.
Uses marginal ROI curves and saturation insights to decide where the next £100k/£500k has the highest incremental return. Scenario planning: can simulate “what if we move 15% of budget from channel A to B” and estimate impact before spending
Traditional scaling grows what looks good on dashboards and hides waste; MMM plus incrementally grows what actually moves total revenue and lets us cut or redeploy 10–20% of budget with confidence.
Tests are often adhoc, short, and judged by platform metrics; many “winners” are just noise or attribution artefacts. Geo tests / holdouts are rare because they’re seen as disruptive and hard to design, so teams default to small A/Bs inside platforms.
MMM gives a macro view over 1–3 years of data and is updated on a rolling basis, turning it into an ongoing optimisation tool rather than a once a year study. Incrementally runs as structured experiments (geo holdouts, budget step tests, on/off) with defined durations and readouts, often in weeks, creating a continuous test and learn loop.
Without lift tests, brands routinely over invest in high attribution, low incrementally campaigns, leading to ongoing hidden waste.
MMM highlights channels and spend levels where marginal ROI collapses (saturation), enabling cuts or caps. Incrementally tests show cases where 70–80% of attributed conversions would have happened without the ads, unlocking budget that can be redeployed to real growth activity.
Relies on attribution and blended KPIs; assumes attributed = incremental.
Separates baseline vs incremental sales; tests whether a channel actually changes behaviour.