Portfolio structure without data leakage
Keep organizations, connections, profiles, jobs, and entitlements scoped to the correct client. A user must not gain access merely because the agency manages another account.
Amazon PPC software for agencies
Standardize account reviews without flattening every client into one workflow.
SellerPilot is designed to help Amazon PPC agencies review authorized accounts through a consistent control framework while preserving organization, connection, profile, marketplace, currency, and subscription boundaries. Current capabilities focus on secure synchronization, deterministic reporting, and budget pacing. Multi-account operating tools, explainable recommendations, and approval workflows are being developed or planned with tenant safety at the center.
Designed for the operating reality
Control starts with the right context.
SellerPilot keeps account scope, reporting windows, currencies, permissions, and evidence visible so a useful signal is not mistaken for a guaranteed outcome.
A repeatable review cadence
Use the same freshness checks, metric definitions, pacing method, and evidence standards across accounts while respecting each client's objectives.
Permissions before scale
Planned approvals will distinguish viewing, proposing, approving, and executing. Account ownership and role boundaries remain more important than workflow speed.
A reviewable workflow
From authorized data to an accountable decision.
- 01
Create the correct organization boundary
Place users, Amazon connections, billing entitlements, and advertiser profiles inside the client or agency structure that is authorized to use them.
- 02
Connect and verify each account
Use Amazon-hosted OAuth, discover permitted profiles, and confirm marketplace and currency context. Do not collect or share a client's Amazon password.
- 03
Run a consistent evidence review
Check sync health and data freshness before comparing spend, attributed sales, ACOS, ROAS, CTR, conversion rate, campaign structure, and pacing.
- 04
Communicate status accurately
Tell clients which observations come from synchronized Amazon reports, which are SellerPilot calculations, and which capabilities remain in development or planned.
01 / Operating guide
Reduce operational repetition while protecting client boundaries
Agencies often repeat the same export, cleanup, and calculation work for every account. SellerPilot centralizes authorized campaign and reporting data and applies a consistent analytical model, reducing the opportunity for formulas and filters to drift between account reviews. The selected profile, reporting window, currency, sync state, and data-through date remain visible.
Efficiency cannot come at the cost of isolation. SellerPilot's data model scopes organizations, memberships, Amazon connections, accounts, profiles, synchronization jobs, campaign records, reports, and billing entitlements. Server-side authorization must validate the relevant organization and resource on every protected operation. Interface hiding alone is not an access control.
- Organization and membership checks on protected resources
- Encrypted refresh credentials and revocable OAuth access
- Per-profile synchronization and freshness state
- Plan limits for one, three, or ten connected accounts
02 / Operating guide
Create a defensible client-review standard
A strong agency review begins by verifying the data, not by looking for a dramatic recommendation. Operators should confirm the account, profile, date window, currency, attribution state, and reporting completion before interpreting a metric. SellerPilot makes these checkpoints part of the workspace so an agency can build a repeatable quality standard.
The software does not make every client objective identical. A launch, profitability program, inventory reduction, branded defense strategy, or seasonal push may require different thresholds and evaluation windows. Planned wasted-spend logic will therefore consider evidence and configurable context instead of applying one universal rule. Agencies remain responsible for aligning decisions with the client's authorized objectives.
- Consistent metrics with client-specific interpretation
- Budget pacing used as an attention signal
- No guarantee of sales, rank, ACOS, ROAS, or profit
- Transparent incomplete-data and error states
03 / Operating guide
Scale recommendations only after governance is ready
An agency workflow can create material risk if a broad role or automation rule applies an unintended change across clients. SellerPilot plans to introduce proposals and approvals in stages. A proposal should identify the affected account, campaign, ad group, target, current value, proposed value, evidence, rationale, uncertainty, and applicable guardrails.
Execution will remain distinct from approval. Required Amazon API access, account eligibility, permission checks, budget limits, idempotency controls, rate limits, error handling, and confirmed response status all matter. Autonomous optimization is not currently offered. External AI or MCP account review is also not live and would require a separately approved, minimally scoped, customer-authorized design.
- Action-type permissions and change limits are planned
- Locked objects and client exclusions are planned
- Attempted and confirmed actions remain distinguishable
- Agency efficiency never overrides provider policy
Capability boundary
Analysis is not the same as an executed campaign change.
SellerPilot currently supports secure Amazon authorization, advertising profile discovery, campaign and reporting synchronization, deterministic analytics, and budget pacing. Wasted-spend review is in development. Explainable recommendations and customer-approved write actions are planned and remain dependent on required access, validation, and safeguards. Autonomous optimization and external AI or MCP account review are not live features.
Read the full status matrixBuild a consistent agency operating system, account by account.
Compare the three- and ten-account plans, verify each authorized connection, and use the current reporting and pacing layer while the governed recommendation workflow is developed.