Eva AI Advertising​

Most ad platforms optimize bids
Eva optimizes capital

Advertising intelligence that connects bids, ranking, inventory, and profit managed by AI, executed by experts.

Layer 1 (70)
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The Problem

Why Most Amazon Ad Accounts Underperform

Layer 2 (7)

Bidding on yesterday's data

Standard tools and most agencies adjust bids on daily or weekly batch cycles. Your competitor’s AI is
making decisions every hour. By the time you react, the auction has already shifted.

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Spend disconnected from ranking

A keyword at position #12 and a keyword at position #3 require completely different bid logic. Most systems don’t know the difference. They treat both identically.
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Ads running against low- stock ASINs

Inventory drops. Ad spend continues. Sales rank erodes. By the time anyone notices, the ASIN has lost
its ranking momentum and recovery costs double what prevention would have.

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Keyword structure built on guesswork

Without continuous search term harvesting and disciplined match type isolation, converting terms stay
buried in broad campaigns. Budget bleeds. Scale stalls. The account looks active but isn’t progressing.

The Problem

Why Most Amazon Ad Accounts Underperform

Layer 2 (7)

Bidding on yesterday's data

Bids re-evaluated every hour against conversion signals, ranking position, and inventory status. Not daily . Not weekly .
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Ranking-Aware Capital Deployment

Every ASIN classified by ranking stage. Budget allocation adapts automatically — launch, defense, or harvest.
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Search Term & SQP Intelligence

Continuous harvesting from Search Query Performance data. Converting terms promoted, irrelevant terms negated. Always on.
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Dynamic Day-Parting

Budget concentrated in peak-conversion windows, weighted by category behavior and ASIN performance.

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Keyword Isolation & Match Type Architecture

Exact-match campaigns built from proven terms. Cannibalisation prevented. Bid precision protected.
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Inventory & Profit-Aware Scaling

Spend pulls back on low-stock ASINs automatically . Scale only where unit economics support it.
FULL-FUNNEL STRATEGY & AMAZON MARKETING CLOUDt

Most Accounts Are Overfunded at the Bottom,
Invisible at the Top

When every dollar chases conversion, new customer acquisition stalls and organic rank depends entirely on paid spend. Eva uses Amazon Marketing Cloud to rebalance the funnel — and keep it balanced.

Path-to-purchase

Which ad exposures, in what sequence, actually drive conversion

New-to-brand attribution

How much revenue is genuinely new customers

Audience overlap

Where DSP, Sponsored Products, and organic interact for the same buyer

Cohort LTV

Which acquisition sources produce the highest long-term value
AMC = Intelligence. DSP = Activation. Eva = Decision.
How Eva Is Different

Not Campaign Management
Advertising Intelligence

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Layer 2 (1)
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Capability

Eva Commerce

Agencies

Automation Tools

Bid frequency
Hourly, dynamic

Daily/weekly reviews

Rules-based automation

Ranking awareness

Core to every decision

Not integrated

None

Inventory logic

Automated suppression

Manual

None

Keyword architecture

Continuous SQP-driven harvesting and isolation

Manual, periodic

Partial automation

Day-parting 

Dynamic, signal-based

Rarely applied

Static rules

AMC intelligence 

Funnel allocation engine

Occasional reporting

Not available

Full-funnel balance 

AMC-driven top, mid, and lower funnel coordination

Lower-funnel bias

Not managed

Profit control 

Margin-aware by ASIN

ACOS-focused

Not integrated

Primary goal 

Rank. Spend smart. Profit.

Lower ACOS

Reduce manual work

TECHNOLOGY + OPERATORS

AI Runs the System
Experts Run the Strategy

The AI handles hourly bids, search term harvesting, budget reallocation, day-parting, and inventory suppression — continuously, on every ASIN. Your dedicated team handles competitive positioning, launch sequencing, AMC audience strategy , and the decisions that determine scale.

Dedicated Specialist

Amazon Advertising Specialist

Campaign architecture, keyword strategy , SQP analysis, full-funnel coordination.

Strategic Partner

Brand Manager

Your omnichannel P&L owner — connecting advertising to ranking, inventory , and margin targets.

Outcomes

What Changes

TACOS

-8% → -22%

Ranking-aware allocation + waste isolation

CTR

+5% → +18%

Main image and search positioning optimization

Conversion Rate

+6% → +18%

Detail page, A+ hierarchy, ranking lift

Ranking Position

Top 10 → Top 3

Velocity-driven keyword expansion

New-to-Brand Rate

+15% → +40%

AMC-directed DSP and Sponsored Brands investment

Contribution Profit

+2 → +7 pts

Margin-protected scaling, pricing architecture

Observed across active implementations.

Case Studies

View All Case Studies

Hear from the brands growing

90-day
Activition Roadmap

Disciplined execution compounds ranking, lowers TACOS, and protects profit.

We’ll review your current setup and show how we would manage and scale your growth.

Days 0-30

Analyze

Days 31-90

Architect

Days 91-180

Accelerate

Proven Results Across the Eva Growth System

Real outcomes from brands using Eva across Amazon, Shopify, and TikTok

Revenue Driven
Across Channels
$ 1 B+
Ad Spend Optimized
with Profit Focus
$ 0.3 B+
Avg. Profit Increase
in 6 Months
0 %
Reduction in
Operational Costs
0 %
Avg. Revenue Growth
in 6 Months
0 %

Based on aggregated performance across Eva-managed brands

Frequently Asked Questions

How is hourly bid optimization different from Amazon's automated bidding?

Amazon’s dynamic bidding adjusts within a percentage range around a bid you set. Eva’s hourly optimization is a separate decision layer — it re-evaluates the economics of every bid independently, incorporating ranking position, conversion signals, day-part performance, inventory status, and contribution margin. It is not a modifier on top of Amazon’s system. It operates in parallel, at a resolution Amazon’s native tools do not offer.

Every ASIN sits at a different stage in its ranking trajectory, and each stage demands different bid logic. An ASIN entering a competitive keyword cluster for the first time needs aggressive velocity spend to build ranking momentum. An ASIN defending a top-3 position needs precision efficiency to protect rank without over-spending. An ASIN losing rank needs repositioning logic, not more budget. Eva classifies each ASIN by stage and deploys capital accordingly — not by campaign budget caps.

Seller Central shows you last-click attribution — the final ad the customer clicked before buying. AMC shows you the full path: every ad exposure, in sequence, across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP, before the purchase. It also shows you how much of your revenue is genuinely new-to-brand customers vs. existing buyers you already own, which cohorts have the highest LTV, and where ad types overlap for the same customer. Without AMC, budget allocation is guesswork. With AMC, it is a data-driven decision.

Eva uses AMC data to diagnose the balance problem before making changes. If new-to-brand rate is falling and repeat-buyer rate is stagnant, the account is over-indexed on lower funnel — DSP and Sponsored Brands investment is increased. If retargeting pools are healthy but conversion rate is lagging, the problem is mid-funnel — audience sequencing and Sponsored Display structure are refined. The allocation decision is always driven by AMC signal, not by gut feel or conventional budget splits.

Before spend scales on any ASIN, Eva checks stock velocity. If an ASIN is projected to reach a stockout threshold within a defined window, spend is suppressed automatically. This prevents one of the most common and costly errors in Amazon advertising — spending to drive rank on an ASIN that cannot fulfill the demand, which burns budget and collapses the ranking momentum you just paid to build.

Yes. Eva manages the full Amazon advertising suite — Sponsored Products, Sponsored Brands, Sponsored Display, and DSP — as an integrated system with defined roles at each funnel stage, not as isolated campaigns with separate budget logic.

When converting search terms stay inside auto or broad campaigns, you lose bid control. Eva continuously identifies which terms are converting and migrates them into managed exact-match campaigns where bids can be set with precision. Simultaneously, irrelevant terms are negated before they continue consuming budget. This is the structural discipline that separates efficient accounts from costly ones — and it runs continuously, not monthly.

Your ads should be making capital allocation decisions.
Right now, most of them aren't.

We’ll audit your account, classify your ASIN ranking stages, and show you exactly where spend is working — and where it isn’t.