How we work with Amazon brands & agencies

Three ways to engage – from diagnosis to ongoing optimization.

Radar Audit

One-time AMC-powered Sponsored Ads audit.

  • Full AMC pull focused on Sponsored Ads & DSP interaction.
  • Search term profitability + funnel leakage analysis.
  • NTB & brand halo scan across your hero ASINs.
  • Prioritized list of “cut / fix / double-down” actions.

Best for: brands testing AMC for the first time or before big events (Prime Day, Q4).

Radar Program

Recurring AMC analysis & optimization support.

  • Monthly (or quarterly) AMC refresh and executive summary.
  • Ongoing budget reallocation & funnel health monitoring.
  • NTB & halo tracking vs targets for key campaigns.
  • Slack/email support for questions and what-if scenarios.

Best for: brands with $30k+ monthly ad spend who want stable, profitable growth.

Custom Lab Engagement

Deep dives into specific problems or opportunities.

  • Funnel Synergy Blueprint for DSP ↔ Sponsored Ads alignment.
  • Pixel Funnel Audit for off-Amazon journeys and DTC impact.
  • NTB Growth Lab for launch-heavy or brand-building portfolios.
  • Bespoke AMC modules for unique questions from leadership.

Best for: complex setups, multi-country brands, or agencies with multiple accounts.

Sponsored Ads Performance Lab

“PPC audit & rebuild, but powered by AMC.”

Core questions this Lab answers

  • Which search terms are profit engines vs silent cash burners?
  • Where exactly do we leak between impression → click → DPV → ATC → purchase?
  • Should SP, SB or SD own specific queries and intents?
  • Which campaigns deserve more budget, and which should be cut or restructured?

What’s included

  • Cross-ad-type search term profitability view (SP/SB/SD).
  • Search term funnel leak map by query and ASIN.
  • Campaign & target ranking by profit potential vs waste.
  • Concrete restructure & budget reallocation recommendations.

NTB Growth Lab

“CMO-level view of new-to-brand and brand halo.”

Core questions this Lab answers

  • Which campaigns and ASINs actually grow the customer base?
  • How much halo value do hero products create across the catalog?
  • Are we over-optimizing for ROAS at the expense of brand growth?
  • Where is it rational to accept higher ACOS because NTB + halo pay back?

What’s included

  • NTB & halo leaders by campaign, query and ASIN.
  • Campaign tagging into acquisition vs harvesting roles.
  • Hero vs supporting SKU role definition based on halo patterns.
  • Suggested NTB and halo KPIs to add to reporting.

Funnel Synergy Blueprint

“How DSP & Sponsored Ads really work together.”

Core questions this Lab answers

  • What share of conversions involve DSP + SA vs SA-only?
  • Do DSP-assisted paths deliver better CVR, AOV or NTB share?
  • What happens if we cut DSP or change frequency caps?
  • Which sequences (e.g. DSP view → SBV → SP click) are most valuable?

What’s included

  • Path-type breakdown: DSP-only, SA-only, DSP + SA assist.
  • Time-to-conversion curves by channel mix.
  • Scenario commentary for budget shifts between DSP and SA.
  • Actionable recommendations on roles of each channel in your funnel.

Pixel Funnel Audit

“Make off-Amazon journeys and DTC traffic pay back properly.”

Core questions this Lab answers

  • What does our off-Amazon funnel look like (homepage → cart → success)?
  • Which campaigns drive DTC signups and conversions that don’t show in console?
  • Where do users drop before they ever reach Amazon PDPs?
  • Which landing pages and sites should we fix, clone or kill?

What’s included

  • Pixel funnel analysis by campaign and site.
  • Blended view of on-Amazon and off-Amazon conversion value.
  • Prioritized CRO and landing page improvement backlog.
  • Recommendations for aligning DTC and Amazon media strategies.

Not sure where to start?

We typically start with a Radar Audit, then turn the most impactful modules into a recurring Radar Program. You keep control of execution; we give you the analytics “brain”.

Talk about your setup We’ll review your current ad spend and see if Radar makes sense.