KwickMetrics Ads provides a complete advertising management and automation system for Amazon sellers. It is designed to help sellers reduce wasted ad spend, improve advertising performance, and save significant manual effort by managing, optimizing, and automating ads from a single platform.
This article gives a high-level overview of all Ads modules available in KwickMetrics and explains what each module does and when sellers should use it.
KwickMetrics Ads is built around five core modules:
Each module solves a specific operational or performance challenge in Amazon advertising.
Key capabilities include bulk updating campaign budgets, bids, states, and placements; managing ad groups, keywords, targets, and product ads at scale; adjusting placement bidding for Top of Search, Product Pages, and Rest of Search; adding negative keywords and negative product targets; viewing performance reports and search term data; tracking all changes through a full changelog and audit history; and analyzing performance using hour-wise and day-wise heatmaps.
Sellers should use Campaign Manager when managing large numbers of campaigns or keywords, making account-wide optimizations quickly, analyzing performance trends by time or placement, and reducing manual work in day-to-day ad operations.
Campaign Launcher enables sellers to create complete Amazon ad campaign structures in a single workflow.
It allows sellers to create Sponsored Products and Sponsored Display campaigns, add ad groups, products (ASINs or SKUs), keywords, and targets together, configure auto and manual targeting, set bids, budgets, placements, and portfolio assignments, add negative keywords and negative targets during creation, attach automation rules at launch, validate data before submission, and handle partial failures without stopping the entire process.
Sellers should use Campaign Launcher when launching new products or campaigns, avoiding setup errors, standardizing campaign structures, and saving time compared to manual setup in the Amazon advertising console.
The Suggestions module analyzes campaign performance data and provides actionable optimization recommendations.
Suggestions are grouped into categories such as wasted spend identification, new keyword and product target opportunities, bid optimization, budget optimization, placement optimization, dayparting opportunities, and low inventory alerts.
From Suggestions, sellers can add negative keywords or targets, add new keywords or product targets, increase or decrease bids, adjust budgets, and link campaigns to Dayparting strategies.
Sellers should use Suggestions to identify wasted ad spend, discover new scalable opportunities, optimize campaigns without manual analysis, and improve overall advertising efficiency.
Ruleset allows sellers to automate ad optimizations using if-then logic based on performance metrics.
It supports automation rules for campaigns, keywords, targets, and placements using more than 40 performance metrics such as ACOS, ROAS, CPC, CTR, and conversion rate. Rules can run daily, weekly, monthly, or once, and can analyze data across configurable lookback periods. Built-in safety controls help protect budgets and placements, and sellers can choose notification-only, execute-only, or execute-and-notify modes with detailed execution reports.
Sellers should use Ruleset to automate repetitive optimization tasks, manage ads at scale, maintain consistent performance, and reduce dependency on manual monitoring.
Dayparting automatically adjusts campaign budgets, bids, and placement bidding based on the time of day and day of week.
It supports budget-based, bid-based, Top of Search placement, and Product Page placement strategies. Sellers can configure hour-by-hour schedules, visualize performance using heatmaps, apply strategies at campaign, keyword, or target level, and rely on real-time, timezone-aware execution. All adjustments automatically revert to base values when Dayparting ends.
Sellers should use Dayparting to reduce spend during low-conversion periods, increase visibility during high-performing hours, run time-based promotions safely, and improve ROAS using historical performance patterns.
KwickMetrics Ads is designed as a connected system. Campaign Launcher helps build campaigns correctly, Campaign Manager enables control and analysis, Suggestions highlight optimization opportunities, Ruleset automates decisions, and Dayparting optimizes spend by time. Together, these modules help sellers move from manual ad management to intelligent automation.
KwickMetrics Ads provides Amazon sellers with centralized ad management, data-backed optimization insights, safe and scalable automation, time-based spend control, reduced wasted ad spend, and significant savings in manual effort. This modular approach allows sellers to start simple and progressively automate as their advertising operations grow.