AURA Ecommerce OS

Results & Case Studies

AURA is built to move revenue, profit and workload – not vanity dashboards. Here’s how the OS performs across real ecommerce brands.

Multi-store operators £50k–£500k/mo bands SEO • Email • CX • Ops
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Every engagement is scoped with a baseline and target. We track impact using simple, shared numbers: revenue, MER, repeat rate, AOV, ticket volume and hours saved.

What we measure
Proof without the noise

Every AURA deployment starts with a baseline and a small, agreed set of metrics. No black-box “AI scores” — just the numbers your finance and performance teams already care about: revenue, margin, retention and hours saved.

Example outcomes
Snapshots from recent builds

Results vary by store, margin profile and how hard you let AURA run. These examples show the kind of movements we optimise for once the OS is live.

Brand A • Beauty
SEO + content + feeds
+34% organic revenue
6 months • £80k → £107k/mo.
  • Blog & Content Engine + Product SEO Engine + Schema.
  • SEO clicks up 29%; conversion rate stable.
  • Manual content hours cut from ~40h/mo to ~14h/mo.
Brand B • Apparel
Email & retention layer
+18% repeat revenue
90 days after rollout.
  • Abandoned Checkout & Winback AI + Klaviyo Flow Automator.
  • LTV bands and churn segments piped into flows.
  • Net new revenue from flows: +9–12% of monthly store revenue.
Brand C • Multi-store
Ops + CX + CFO pack
–24% support load
Across 3 regions.
  • AI Support Agent + Returns/RMA + Daily CFO Pack.
  • Tickets per order down while NPS and CSAT stable or higher.
  • One clear “morning brief” for owners across all stores.
Attribution & reporting
How we show impact to your team

Simple, shared reporting

  • Baseline vs. post-launch views for each system we deploy.
  • Clean separation between “organic improvements” and AURA-driven changes.
  • Measurement windows agreed upfront (e.g. 30 / 60 / 90 days).
  • Exports into Sheets / Notion so your own team can slice the data further.

Where the numbers come from

  • Data sourced from Shopify, GA4, ad platforms and email tools you already use.
  • No new dashboard to learn unless you want one — everything stays in your stack.
  • Optional “proof layer” systems like Rank & Visibility Tracker if you need more detail.
  • Clear assumptions documented so your analysts aren’t guessing.
Fit & expectations
When AURA tends to over-deliver

Best-fit brands typically…

  • Have proven product/market fit and a healthy baseline of traffic and orders.
  • Are already investing in SEO, email, content and CX — but execution is patchy.
  • Run multiple stores/markets or have a strong roadmap but limited ops capacity.
  • Care about compounding improvements, not just one-off “campaigns”.

What we commit to

  • Clear expectations and timelines before we start wiring anything in.
  • Honest view if a system is unlikely to move the needle for your current stage.
  • Regular check-ins to keep systems tuned to your offers and calendar.
  • Easy off-ramp: you keep the workflows even if we stop working together.
Want to see what AURA might do for your numbers?
We’ll run a quick baseline using your current data, then map which systems are likely to have the biggest impact in the next 90 days.