Amazon AMC & Delayed Retail Halo
How SpotLift Pro captures television's delayed sales halo on Amazon and audits Sponsored Brands PPC cannibalization.
SpotLift Pro Feature
Amazon Marketing Cloud (AMC) clean-room telemetry ingestion, 36-hour distributed lag modeling, and PPC cannibalization auditing are premium capabilities exclusive to SpotLift Pro.
The Omnichannel Reality of Linear TV
For consumer brands selling on both direct-to-consumer (DTC) websites and Amazon, 30% to 50% of TV-stimulated consumer interest navigates directly to Amazon rather than visiting the brand's URL.
Attribution models that only measure Google Analytics 4 suffer from severe blind spots:
- Understated Campaign ROI: Offline broadcast media gets under-credited because marketplace sales are unaccounted for.
- Penalized Daytime & Weekend Flights: Daytime and weekend airings often drive mobile Amazon app searches rather than immediate desktop web sessions.
- PPC Budget Drain: TV-stimulated shoppers searching for the brand on Amazon are often intercepted by internal Sponsored Brands campaigns, inflating paid search costs.
Dual-Stage Amazon Response Dynamics
Unlike web sessions that spike within 120 seconds of broadcast, Amazon response exhibits a dual-stage temporal curve:
Web Visits (GA4): [Spike: 1-6 min] ──────────► Back to baseline
Amazon Search: [Impulse: 0-2 hours] ──────► Search halo
Amazon Purchases: [Lagged peak: 4-36 hours] ─► Multi-day retail halo- Stage 1 — Immediate Intent (0 to 2 hours): Branded search query volume and Product Detail Page (PDP) glance views surge on Amazon.
- Stage 2 — Delayed Conversion (4 to 36 hours): Purchases and ordered units peak several hours later as consumers compare variants, add items to cart, and checkout upon returning home.
What SpotLift Pro Unlocks for Amazon
Upgrading to SpotLift Pro provides complete, turnkey Amazon measurement without needing to write custom clean-room pipelines:
1. Curated AMC Clean Room SQL Suite
SpotLift Pro includes tested, production-grade Amazon Marketing Cloud (AMC) queries designed to extract:
- Hourly ordered units and gross merchandise value (GMV).
- New-to-Brand (NTB) purchase share stimulated by broadcast flights.
- Brand search impressions and detail page view surges.
2. 36-Hour Distributed Lag Convolution
Applies econometric distributed lag models across hourly Amazon conversion streams, estimating the exact total sales multiplier generated per television rating point (GRP).
3. Sponsored Brands PPC Cannibalization Audit
Automatically measures the Cannibalization Index:
- Identifies hours where TV-stimulated organic shoppers clicked on expensive internal Sponsored Brands or Sponsored Products ads.
- Recommends exact daypart bidding reductions to prevent wasting PPC budget on consumers who were already planning to purchase.
Two Distinct AMC Data Structures
Because Amazon Marketing Cloud (AMC) operates as a privacy-preserving SQL clean room on AWS Athena/Presto, advertisers cannot export raw minute-by-minute user logs. SpotLift supports both standard enterprise AMC export architectures:
Architecture A: Per-Spot Pre/Post Windowed Funnel (amc_spot_conversions.csv)
Queries AMC conversion tables in paired observation windows around each broadcast spot (e.g., 60 minutes pre-spot baseline vs. 15 minutes post-spot response) across three marketplace funnel stages:
pageViewStarts/detailPageView(DPV): Shopper views the product detail page on Amazon.addToCart(ATC): High-intent mid-funnel cart addition.order: Completed Amazon purchase.
import spotlift as sl
from spotlift_pro.amc_ingestion import analyze_amc_spot_conversions
# Generate synthetic US Omnichannel + AMC benchmark (400 spots)
airings_df, ga4_df, amc_conv_df, amc_hourly_df = sl.generate_omnichannel_amc_dataset()
# Analyze per-spot AMC pre/post funnel response
amc_audit = analyze_amc_spot_conversions(
conversions_df=amc_conv_df,
airings=airings_df,
before_minutes=60,
after_minutes=15,
)
print("Total DPV Lift:", amc_audit["total_dpv_lift"])
print("Total AddToCart Lift:", amc_audit["total_atc_lift"])
print("Total Order Lift:", amc_audit["total_order_lift"])
print("AMC Funnel CR (Orders / DPV):", f"{amc_audit['cr_mean']:.2%}")Example AMC Clean-Room Channel Efficiency (generate_omnichannel_amc_dataset):
| Network | Spots | Net Spend | DPV Lift (pageViewStarts) | AddToCart Lift | Order Lift | AMC CPIV (DPV) | AMC Cost / Order |
|---|---|---|---|---|---|---|---|
| Bravo | 87 | $176,917 | +4,420.8 | +728.5 | +236.0 | $40.02 | $749.65 |
| Hulu-CTV | 66 | $183,443 | +3,514.0 | +581.2 | +115.5 | $52.20 | $1,588.25 |
| ESPN | 86 | $305,762 | +5,252.8 | +874.0 | +268.0 | $58.21 | $1,140.90 |
| NBC | 79 | $434,614 | +6,303.0 | +1,045.8 | +272.5 | $68.95 | $1,594.91 |
| CBS | 82 | $423,280 | +5,737.8 | +956.0 | +200.3 | $73.77 | $2,113.76 |
Architecture B: Hourly Marketplace Stream (amc_hourly_marketplace.csv)
With SpotLift Pro, you can also pass continuous hourly Amazon telemetry (amz_ordered_units, amz_ordered_gmv, amz_sponsored_brand_clicks, amz_sponsored_brand_spend) alongside minute-level GA4 web telemetry into analyze_omnichannel_pro():
import spotlift as sl
airings = sl.load_airings("tv_schedule.csv")
web_telemetry = sl.load_telemetry("ga4_sessions.csv")
amz_telemetry = sl.load_telemetry("amc_hourly_units.csv")
# Run omnichannel attribution in SpotLift Pro
report = sl.analyze_omnichannel_pro(
airings=airings,
web_telemetry=web_telemetry,
amazon_telemetry=amz_telemetry,
window_minutes=8,
export_html="omnichannel_audit_q4.html",
export_excel="omnichannel_audit_q4.xlsx",
)
# Access omnichannel summaries
print("Total Web Lift:", report["spots_df"]["incremental_lift"].sum())
print("Amazon Units Halo:", report["spots_df"]["amz_incremental_units"].sum())
print("Amazon GMV Halo:", report["spots_df"]["amz_incremental_gmv"].sum())Unlock Amazon Telemetry with SpotLift Pro
Ready to measure your Amazon retail halo and eliminate PPC waste?
- Single Flight Pass (€249): 30 days of full Pro access for single campaign audits.
- Pro Agency Subscription (€499/mo): Unlimited client analyses and continuous updates.
👉 Get SpotLift Pro via Polar.sh Checkout or view full details in the SpotLift Pro Guide.