How Hector Turns Amazon Marketing Stream Hourly Data into Dayparting Precision

Hourly Data from Amazon Marketing Stream is like having 168 chances a week to win big. Are you making the most of it?

We built one of the most actionable visualization screens for Amazon Marketing Stream data at Hector after multiple sprints and deep dives into what really matters.

So, why is hourly data so special?

Because the first step of dayparting isn’t changing bids or budgets. It’s knowing exactly when your keywords are converting.

Here’s where most people go wrong with Exact Match dayparting:

• Relying on a single metric like ROAS
  
  

• Analyzing campaigns with multiple keywords
  
  

• Using Broad or Phrase Match (not meant for this)
  
  

• Mixing Brand, Competitor, and Generic keywords
  
  

• Ignoring placement-level data
  
  

• Not separating BAU and Event days
  
  

• Judging product keywords together (Hair Serum ≠ Hair Shampoo)
  
  

• Only using last 30 days data (90+ days gives better trends)
  
  

At Hector, we obsessed over these nuances and built a dayparting tool that respects every one of them.

Here’s how we look at hourly performance:

• We analyze Exact Match keywords only
  
  

• Break it down by placement (Top of Search, Rest, Detail Page)
  
  

• Split analysis for Brand vs Generic vs Competitor
  
  

• Separate views for Event vs BAU days
  
  

• Look at metrics like ROAS and Orders across 168 hourly slots
  
  

This way, you know exactly when to scale, pause, or push - without making assumptions.

We’ve redefined what dayparting means for Amazon Ads by truly harnessing what Amazon Marketing Stream can offer. And this is just the beginning.

Want to see how dayparting can transform you ads? Let’s talk.

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