Services

Retail media management, measurement, and advertising technology.

Hands-on campaign operations across Amazon Ads, Walmart Connect, Target (Roundel), and Wayfair, with measurement and technology scoped to each engagement.

Retail media management

Hands-on management across four retail media networks.

Each network has its own auction, placements, reporting, and retail signals. Incremetrix runs them as one program with one measurement approach, and with the deepest scope on Amazon Ads.

Amazon Ads

Sponsored Products, Sponsored Brands, Sponsored Display, and Amazon DSP. Campaign structure, keyword and product targeting, search-term analysis, bid management, placement strategy, budget pacing, dayparting, and portfolio organization, with reporting at the account and product level.

Amazon Ads management in detail

In scope

  • Sponsored Products
  • Sponsored Brands
  • Sponsored Display
  • Amazon DSP
  • Search-term analysis
  • Bid and placement management
  • Budget pacing and dayparting
  • Portfolio and account organization

Walmart Connect

Advertising management on Walmart Connect: campaign setup and ongoing optimization, budget and bid management, and reporting and performance analysis tied to how items actually sell on Walmart.

How campaigns are operated

In scope

  • Campaign management
  • Campaign optimization
  • Budget and bid management
  • Reporting and performance analysis

Target / Roundel

Support for Target retail media through Roundel: campaign planning, performance analysis, and reporting that sits alongside the rest of a brand’s retail media program.

How campaigns are operated

In scope

  • Campaign planning
  • Performance analysis
  • Reporting

Wayfair

Wayfair advertising management: campaign setup and optimization, budget and bid oversight, and ongoing performance monitoring for brands selling on Wayfair.

How campaigns are operated

In scope

  • Campaign management
  • Campaign optimization
  • Performance monitoring
Addresses
Running and improving paid retail media on each network in scope, from initial structure through ongoing optimization.
Deliverables
Campaign setup or restructuring; ongoing management of bids, budgets, targeting, and placements; a documented account structure and naming convention; a running change log; recurring performance reviews.
Client inputs
Advertising console access at the permission level the client chooses; product priorities and margin or target-efficiency guidance; promotional calendar; inventory visibility where available.
Decision review
Material changes are logged with their reasoning. Review cadence and approval thresholds are agreed at the start of the engagement and adjusted as the account matures.
Engagement type
Ongoing, as managed advertising. Setup or restructuring can also be scoped as a project.

Campaign operations

The levers, and what is done with each.

Campaign management is a set of specific, repeatable decisions. This is the working list, applied with the guardrails and cadence agreed for the account.

Structure
Campaign and ad group architecture that separates objectives, match types, and product groups so performance can be read and controlled.
Bids
Bid setting and adjustment by target, placement, and objective, with guardrails that keep spend inside the plan.
Targeting
Keyword, ASIN and product, category, and audience targeting matched to each product’s role in the account.
Placements
Placement performance analysis and modifiers, including top-of-search and product-page strategy on Amazon.
Search terms
Regular search-term mining: harvesting converting terms, adding negatives, and cutting spend that does not convert.
Budgets and pacing
Daily and monthly pacing against plan, with reallocation when campaigns cap out or under-deliver.
Dayparting
Schedule-based bid or budget adjustments where the data shows meaningful intraday or day-of-week differences.
Product prioritization
Deciding which products get budget and visibility based on margin, inventory, conversion, and strategic priority.
Ongoing optimization
A recurring cycle of review, change, and observation, recorded so the account’s history stays legible.
Addresses
Day-to-day control of spend, visibility, and efficiency inside the advertising accounts.
Deliverables
Changes made and logged in the account; a weekly or monthly operating summary on the agreed cadence; a maintained structure and naming convention; search-term and negative-keyword upkeep.
Client inputs
Efficiency targets or margin guidance; product launch and promotion timing; inventory and pricing changes as they happen.
Decision review
Routine changes proceed inside agreed guardrails. Changes outside them are proposed with the reasoning and approved before they are made.
Engagement type
Ongoing.

Measurement and analytics

Reporting built around decisions, with its limits stated.

Platform reporting, business data, and where possible incrementality analysis, brought together in a structure the client can question.

Performance reporting
Recurring reporting at the account, campaign, and product level, in a structure that stays consistent across networks.
Incrementality analysis
Where the account supports a sound design, tests and analyses that estimate what advertising changed rather than what it touched.
Attribution context
Platform-attributed metrics read alongside attribution windows, organic movement, and business totals, with their limits stated.
Custom dashboards
Dashboards built on the client’s data in the client’s tooling where possible, with every metric defined in writing.
Product and campaign diagnostics
Deep dives on why a product, campaign, or placement is behaving the way it is, and what change would test the explanation.
Business-level KPI interpretation
Advertising efficiency read against total sales, TACoS, margin context, and inventory reality, not in isolation.
Addresses
Turning platform data and business data into reporting that supports allocation, structure, and pacing decisions.
Deliverables
A written measurement plan; recurring performance reporting; incrementality analysis where the design supports it; custom dashboards; diagnostic deep dives; written interpretation of KPIs against business goals.
Client inputs
Platform reporting access; the sales, margin, and inventory data the client is willing to share; agreement on which KPIs matter and why.
Decision review
Reporting is reviewed with the client on the agreed cadence. Every recommendation ties to a specific metric and a specific proposed change.
Engagement type
Recurring as part of managed advertising, or project-based as a standalone audit or measurement plan.

Advertising technology

Integration, reporting infrastructure, and automation, scoped per client.

Technology work supports the operating loop. It is built for each engagement and documented so the logic stays visible, and it uses AI-assisted analysis where that speeds up review without replacing it.

APIs
Integration support for advertising and retail data sources under the client’s own accounts and agreements.
Reporting pipelines
Scheduled retrieval, normalization, and preparation of reporting data so it arrives in the same shape every time.
Campaign automation
Rule-based bid, budget, and monitoring workflows with written rules, logged changes, and operator review.
Monitoring
Alerts on pacing, spend anomalies, traffic and conversion shifts, and campaign settings that drift from the plan.
Data QA
Completeness, freshness, and reconciliation checks so decisions are not made on partial or duplicated data.
Custom workflows
Client-specific processes for recurring operational work, documented so anyone on the account can follow them.
Addresses
Repeatable, error-prone, or data-heavy parts of advertising operations that benefit from integration or automation.
Deliverables
Scoped integrations with advertising and retail data sources under client agreements; reporting pipelines and dashboards; rule-based automation with operator review; monitoring and alerting; documentation of the logic.
Client inputs
Access to the client’s own accounts, data sources, and tools at the level the work requires; agreement on rules, thresholds, and review points.
Decision review
Automated actions follow rules the client can read. Changes are logged and reviewable, and any rule can be paused.
Engagement type
Project-based build, optionally followed by ongoing maintenance.

How technology work is scoped

Engagement model

Three ways to work with Incremetrix.

Managed advertising, strategy and measurement, or data and automation. Most engagements start with one and add the others as the account needs them.

Ongoing

Managed advertising

Hands-on campaign management and optimization across the retail media networks in scope: structure, bids, budgets, targeting, placements, pacing, and recurring performance reviews.

For accounts that want the day-to-day operation handled, with every material change logged and reviewed.

Project-based or recurring

Strategy and measurement

Focused analysis and decision support: account audits, measurement planning, incrementality analysis, reporting design, and recommendations that arrive with the changes already scoped.

For teams that run their own campaigns and want an outside read, a measurement plan, or a second set of eyes on the numbers.

Scoped per engagement

Data and automation

Client-specific reporting pipelines, API integration support, dashboards, and rule-based workflow automation, documented so the logic stays visible to the people accountable for the account.

For advertisers with repeatable, data-heavy operational work that should run the same way every time.

Typical engagement flow

  1. Understand the account and objectives

    Products, margins, inventory, current structure, and what the business needs the advertising to do.

  2. Establish measurement and operating priorities

    Which metrics matter, how they will be read, what the review cadence is, and where the guardrails sit.

  3. Execute or implement

    Run the campaigns, deliver the analysis, or build the workflow, with changes logged as they happen.

  4. Review results and iterate

    Read what changed against the plan, decide the next move, and record why.

Scope, cadence, and approval thresholds are agreed in writing at the start of each engagement.

Questions

Frequently asked questions

What types of companies does Incremetrix work with?

Brands, manufacturers, and sellers that advertise on Amazon, Walmart, Target, or Wayfair, and the teams that support them. Engagements are scoped to the account and the decisions it needs to make, not to a company size.

Which retail media platforms does Incremetrix support?

Amazon Ads (Sponsored Products, Sponsored Brands, Sponsored Display, and Amazon DSP), Walmart Connect, Target retail media through Roundel, and Wayfair. Amazon Ads has the deepest scope; see the dedicated Amazon Ads page for detail.

Does Incremetrix manage campaigns directly?

Yes. Managed advertising engagements are hands-on: Incremetrix makes the changes in the client’s advertising accounts, logs them, and reviews results with the client on the agreed cadence. Strategy and measurement engagements can also be advisory only.

How does Incremetrix approach measurement?

Measurement is planned before spend moves. Platform-attributed metrics are reported in context alongside business-level outcomes, and incrementality is treated as a question to answer with a suitable test or analysis where the account supports one. Where it does not, the reporting says so.

Does Incremetrix provide automation or API integration work?

Yes, as client-specific work scoped to each engagement: reporting pipelines, integration support under the client’s own agreements, dashboards, and rule-based automation with operator review, delivered as client-specific work rather than a software product.

Does Incremetrix use AI?

Yes, as a tool for operators rather than as a product. AI-assisted analysis helps with report summaries, anomaly and pattern detection, search-term and product classification, campaign QA, and data preparation. An operator reviews the output before it informs a change. Campaign changes are not automated by AI, and there is no proprietary Incremetrix AI model.

Does Incremetrix replace a brand’s existing team or tools?

No. Incremetrix works alongside existing teams, agencies, and tools. Scope is defined at the start: full campaign management, a defined part of it, or analysis and technology support around the team already in place.

Make the next advertising decision with better information.

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