Amazon PPC Bidding Strategies Explained: Match Types, Suggested Bids & Optimization Tips
About this video
Amazon PPC Bidding Strategies Explained: Match Types, Suggested Bids & Optimization Tips - In this detailed Amazon PPC tutorial, we explore advanced strategies for managing bids, match types, and overall bid management within your Amazon advertising campaigns. This session is packed with tactical advice for Amazon sellers and PPC managers looking to improve ad performance, reduce wasted spend, and increase ROI through smart, data-driven decisions.
## What We Cover in This Video
We begin by highlighting how often bid management is neglected in the broader Amazon advertising strategy. With tools like Helium 10 and DataRova becoming more popular, sellers have more access to competitive keyword data—but understanding how to apply that data with effective bidding strategies is crucial.
We walk through keyword research methods that go beyond the basics, such as multiverse async lookup via Helium 10’s Cerebro, and how to use these insights to guide your initial bid decisions when launching new products or keywords. Whether you want to start aggressively or conservatively, this video outlines how to determine the best approach based on past performance and category competition.
## Amazon Match Types Explained in Depth
We break down the core match types in Amazon PPC—broad, phrase, and exact—and their strategic use in different campaign types such as Sponsored Products and Sponsored Brands. You’ll learn:
▪️ Why suggested bid values vary across match types. ▪️ When to choose phrase or broad over exact. ▪️ How to use broad match effectively without wasting ad spend. ▪️ The dangers of ignoring broad match types and the potential hidden value they carry.
We also address how Amazon’s changes to Sponsored Brand match types have impacted performance, specifically how “exact match” no longer behaves as expected.
## Broad Match Modifier (BMM) – The Overlooked Match Type
This video introduces Broad Match Modifier (BMM), a powerful and underutilized match type. We explain how to format BMM using the plus (+) sign, and how it differs from traditional broad. BMM ensures that each term in your keyword is present in the customer’s search, giving you more control while still capturing long-tail search variations.
## Bid Optimization Strategy and Best Practices
We cover a practical framework for bid optimization based on data volume rather than time alone. Learn how to evaluate performance using search term reports and conversion metrics, and why adjusting bids based solely on keyword-level data can lead to poor decisions. Important points include:
▪️ Using click thresholds (e.g. 20–30 clicks without a conversion) to decide on bid changes. ▪️ Why evaluating search terms is more accurate than focusing on keywords alone. ▪️ Gradual bid adjustments—why you should avoid large bid swings. ▪️ Seasonal trends and account size considerations when scaling or optimizing.
Contents: 0:00 - Introduction to bid management and match types 0:55 - Keyword research fundamentals for bidding decisions 2:15 - Determining initial bid levels for new products 3:05 - Examining Amazon's suggested bids across match types 4:36 - Understanding the value of broad match with proper negative keywords 5:32 - Why exact match works differently in Sponsored Brand campaigns 7:23 - Campaign organization strategies by keyword groups 8:02 - Choosing match types based on campaign objectives 8:42 - Introduction to broad match modifier with the plus (+) sign 10:08 - When and how to optimize bids based on data volume 11:19 - Search term level analysis vs. keyword level analysis 12:48 - Making incremental bid adjustments for optimal results 14:44 - Conclusion and preview of upcoming advanced topics
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Transcript
Frequently asked questions
How should you determine your starting bid when adding new keywords to a campaign?
The starting bid depends on two inputs: the data you have from similar past products and how aggressively you want to enter the auction. Amazon's suggested bid for each keyword, visible when you add keywords in Campaign Manager, gives a useful reference point and is typically sorted by order volume, meaning keywords with higher suggested bids tend to have stronger buying intent. Tools like Helium 10, DataRova, and Product Opportunity Explorer provide additional competitive context. If a similar product in your catalog previously suffered from unsustainably high CPCs, starting below the suggested bid and increasing gradually based on click volume is the safer approach. If you are launching in a new category with no prior data, starting at or near the suggested bid and adjusting based on the first few days of performance is a reasonable entry point.
When should you use broad match, phrase match, or exact match in Amazon Sponsored Products campaigns?
The choice depends on the campaign's purpose. Exact match is the right choice for ranking campaigns where you want impressions and clicks concentrated on a specific search term, with no variation. Phrase match is useful for research and discovery campaigns where you want to capture long-tail variations of a core term while maintaining relevance to the root phrase. Broad match has the widest reach and will match against the most varied search terms, which makes it the highest-risk and highest-potential match type. It works well for discovering search terms you would not have thought to target, but only when paired with aggressive negative keyword management to prevent spend from leaking into irrelevant queries. Using all three simultaneously in separate campaigns with consistent negation practices gives the most complete keyword coverage.
What is broad match modifier and how does it differ from standard broad match?
Broad match modifier, formatted by adding a plus sign before each word in the keyword, is a fourth match type that sits between broad and phrase. A standard broad match keyword will match against any search query Amazon considers related, including synonyms and loosely associated terms. A broad match modifier keyword requires that every word preceded by a plus sign must appear somewhere in the customer's actual search query, though the words can appear in any order. For example, the modifier keyword +mechanical +pencil will only trigger on search terms that contain both the word mechanical and the word pencil, whereas standard broad match could trigger on crayons or art supplies. This gives meaningfully more control over which searches trigger the ad while still capturing long-tail variations that exact match would miss.
Why should bid optimization be based on click volume rather than time elapsed?
Evaluating a keyword after a fixed number of days, such as one week, ignores the fact that different keywords accumulate clicks at very different rates depending on their search volume and bid competitiveness. A high-volume keyword may receive 50 clicks in two days while a long-tail keyword collects the same 50 clicks over three weeks. The relevant threshold is whether you have enough clicks to draw a statistically meaningful conclusion. A practical rule of thumb is to use double your expected conversion rate as the click threshold: if your account converts at 5%, you expect one sale per 20 clicks on average, so waiting for 30 to 40 clicks before acting gives you confidence that the absence of a conversion reflects a genuine performance issue rather than normal variance.
Why is it more accurate to evaluate performance at the search term level rather than the keyword level?
A single keyword in broad or phrase match can generate dozens of different actual customer search queries. If a keyword has 40 clicks and no conversions, it looks like the keyword is underperforming. But if 30 of those 40 clicks came from one irrelevant search term that should be negated, the remaining 10 clicks across two or three relevant search terms have not accumulated enough data to evaluate at all. Making a bid decision based on the keyword-level total would mean either lowering the bid on a potentially viable keyword or keeping an irrelevant search term active. Pulling the search term report and reviewing which queries generated the clicks is the only way to understand whether the issue is the keyword itself or the search terms it is matching against.
How large should bid adjustments be, and why does the size of the account matter?
Small, incremental adjustments are consistently safer than large ones, and the larger the sales volume of a campaign the smaller the increment should be. In high-volume campaigns, a bid change of even one cent can produce a measurable shift in traffic over time. In those accounts, adjustments of more than five cents can cause significant drops in impression share or unexpectedly large increases in spend. For lower-volume campaigns, five-cent adjustments are a reasonable standard. The principle is to treat bidding like steering a vehicle gradually rather than making sharp turns: small corrections in the right direction, monitored over enough clicks to see the effect, will reach the target ACoS more reliably than large changes that overshoot and require repeated correction in the opposite direction.
