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Question

Sudden spikes in event traffic – how are you handling this in Klaviyo?

  • January 27, 2026
  • 2 replies
  • 21 views

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Hi everyone,

We’re using Klaviyo to track user events and trigger flows, and most of the time things run smoothly. However, during certain campaigns or promotions, we see sudden spikes in events being sent to Klaviyo (for example after emails or social pushes), and it sometimes creates delays or unexpected behavior in flows.

I’m trying to understand how others deal with this in real setups:

  • Do you batch or throttle events before sending them to Klaviyo, or send everything in real time?

  • Have you run into flow delays or missed events during high-traffic moments?

  • Any best practices you’ve picked up for keeping tracking reliable when volumes jump suddenly?

Would love to hear how people are handling this in production, especially from those running larger lists or frequent campaigns.

Thanks in advance!

2 replies

cadence
Expert Problem Solver III
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  • Expert Problem Solver III
  • January 28, 2026

@danielmartinhq, can you share a bit more detail on the delays and unexpected behavior you’re seeing in flows? Curious to learn more about what you’re seeing here.

I have seen some larger brands use Segment as an intermediary between their site and Klaviyo to throttle / limit the total volume of events that hit Klaviyo at any point in time.

Cadence / Book a demo


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  • Author
  • Problem Solver I
  • January 31, 2026

Thanks for the follow-up, Kim — happy to add more detail.

The delays we’ve noticed usually happen right after a big outbound push (email + social at the same time). What we see is that profile events do arrive, but some flow actions (especially conditional splits and time-sensitive triggers) fire later than expected, sometimes minutes behind the actual user action.

 

One thing that made this more visible for us is testing traffic from less “standard” clients during QA. For example, when simulating edge-case behavior from modified YouTube clients or third-party apps (we used sources like YTModz purely for testing request patterns), the event bursts tend to be less evenly distributed compared to official apps. That helped surface timing issues we wouldn’t normally notice with clean, steady traffic.

 

We’re currently experimenting with light filtering on non-critical events and reviewing which events actually need to hit Klaviyo in real time vs. being deferred or dropped during spikes. Segment as an intermediary is also something we’re evaluating, mainly for smoothing bursts rather than heavy transformation.

Curious if others have noticed similar flow timing quirks when traffic comes in waves instead of a steady stream.