How To Use SellerSprite Ads Insights To Reverse-Engineer Competitor Amazon PPC Campaigns

Vova Even Jul 01, 2026
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How To Use SellerSprite Ads Insights To Reverse-Engineer Competitor Amazon PPC Campaigns
Table of Contents
  1. Decoding Match Types Through Search Term Volatility
  2. Verifying Ad Group Performance with Real Marketplace Data
  3. Building Winning Campaigns without Spending Blindly

Disclosure: Hi! It's Vova :) Some of the links in this article may be affiliate links. I get a commission if you purchase after clicking on the link, this does not cost you more money, and many times I can even get a nice discount for you. This helps me keep the content free forever. For you. Thank you! :) 

Trying to reverse-engineer a competitor's Amazon PPC strategy usually involves a lot of guesswork and expensive trial-and-error.

SellerSprite’s Ads Insights tool changes this by letting you look directly into the advertising structures of competing listings.

It uncovers exactly how many campaigns and ad groups a competitor is running, the match types they prefer, and the precise search terms driving their traffic.

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You can pull up this data in two different ways.

If you prefer working directly on Amazon, you can open the SellerSprite Chrome extension right on a product detail page and click the Ads Insights button.

Alternatively, you can copy the product's ASIN and paste it straight into the web app's search bar.

ASIN Input  →  Ads Insights Scan  →  Campaign/Ad Group Breakdowns  →  Search Term Volume Metrics

Once the tool finishes its scan, it maps out the competitor's ad history.

Because Amazon keeps its actual campaign names private, SellerSprite organizes this data by generation, assigning random codes like "VD" to represent individual campaign buckets.

This keeps the layout organized so you can analyze the architecture clearly.

Decoding Match Types Through Search Term Volatility

The easiest way to figure out a competitor's exact match types is by looking at the search term volume column.

The tool displays this data as visual timelines filled with small dots, where each dot represents a unique customer search term captured within a specific week or month.

1. Spotting Exact Match Campaigns: If a campaign bucket consistently shows only one or two unique search terms over a long stretch of time, you are almost certainly looking at an Exact Match campaign.

The competitor has singled out that specific phrase, and Amazon is serving ads only to shoppers typing that exact keyword.

2. Spotting Phrase Match Campaigns: When a campaign surfaces a handful of search terms that all contain the exact same core root phrase but add words before or after it, you've found a Phrase Match campaign.

3. Spotting Auto or Broad Campaigns: If a campaign's search term count swings wildly from month to month, jumping from 40 phrases down to three and back up again, it is a clear sign of an Auto Campaign or a very wide Broad Match campaign.

This tells you the competitor is letting Amazon's algorithm hunt for new traffic sources across a shifting mix of customer searches.

Verifying Ad Group Performance with Real Marketplace Data

Clicking on any campaign bucket opens a deep-dive window revealing the underlying search term metrics.

This dashboard displays the organic keyword rankings, monthly search volumes, and the exact impression trends for those phrases.

To help you calculate your margins, the software includes real-time bid estimates showing the minimum and maximum cost-per-click (CPC) ranges required to win placement on those keywords.

All of this information streams directly from Amazon's internal registry, meaning you can cross-reference the search volume and CPC ranges with your own Seller Central reports.

Search Term View  →  Amazon Registry Stream  →  Live CPC Ranges  →  Target Bid Range

The tool also builds an impression-share breakdown modeled after Amazon Brand Analytics.

It flags the top three products capturing the lion's share of clicks and conversions for that specific keyword.

It is important to note that this system tracks keyword-based advertising exclusively, covering Sponsored Products, Sponsored Brands, and Sponsored Brand Videos.

It does not track ASIN product-targeting ads or Sponsored Display banners.

Building Winning Campaigns without Spending Blindly

The biggest advantage of mapping out competitor data is that it saves you from wasting your own budget on unproven keywords.

Instead of spending hundreds of dollars letting Amazon test keyword viability for a new listing, you can use your competitors' historical data to see what already works.

By shifting the tool's timeline back to earlier months or years, you can audit how your top competitors structured their ads during past seasons.

Pay close attention to consistency: if an established competitor has kept a specific phrase running inside an Exact Match campaign for three, six, or twelve months straight, that phrase is highly functional and profitable for them.

You can take those exact, high-performing keywords and build an optimized campaign from day one, confident that you are targeting proven, high-converting search terms.

Start Researching Competitor PPC With SellerSprite

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Table of Contents
  1. Decoding Match Types Through Search Term Volatility
  2. Verifying Ad Group Performance with Real Marketplace Data
  3. Building Winning Campaigns without Spending Blindly

Disclosure:  Hi! It's Vova :) Some of the links in this article may be affiliate links. I get a commission if you purchase after clicking on the link, this does not cost you more money, and many times I can even get a nice discount for you. This helps me keep the content free forever. For you. Thank you! :)