Why does event data in Klaviyo look lower than in other platforms?

2 min. readlast update: 09.11.2025

When comparing event volumes across different tracking tools (such as Klaviyo, Instant, or server-side partners), you may notice that the number of events appearing in Klaviyo is lower. This is by design. Our system prioritises validated, enriched, and high-quality data instead of sending raw, unfiltered event streams.

How is your event data different?

Our approach captures more events overall compared to other providers, but only the highest-quality events are passed into Klaviyo.

  • Compared to Klaviyo’s native tracking: we capture almost 2x more events.

  • Compared to Instant: we capture about 20–30% more events.

The difference you see in Klaviyo is due to the extra steps we take before sending data:

  1. Event Validation
    Every event must contain the required details (e.g. customer identifiers, order data). If anything is missing or invalid, we exclude it, ensuring Klaviyo only receives usable data.

  2. Product Verification
    Events referencing products are checked against your live catalogue. If the product doesn’t exist, the event isn’t sent. This avoids broken flows, failed triggers, and inaccurate reporting.

  3. Data Enrichment
    We enrich events with additional product information (titles, categories, tags, etc.). This makes segmentation, personalisation, and reporting in Klaviyo much more effective.

Why does this matter?

Other platforms often send every raw event (“data inclusive”). In contrast, we filter and enrich events first. This means:

  • You’ll see fewer but higher-quality events in Klaviyo.

  • Your flows, segments, and reports are built on clean, validated data.

  • Conversion values and revenue attribution remain accurate, often more accurate than raw feeds.

Key takeaway

If your Klaviyo event numbers appear lower than in other platforms, it’s because we send only the most reliable and enriched dataset. This ensures accurate tracking, stronger lifecycle flows, and more trustworthy reporting — rather than inflated counts of unverified data.

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