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Tool ComparisonDec 01, 20246 min read

Bustly vs Peel Insights: Feature Comparison for Shopify Stores

Bustly Team
Bustly TeamDec 01, 2024
Bustly vs Peel Insights: Feature Comparison for Shopify Stores

A merchant-first breakdown (what’s the same, what’s different, and who should pick what)

If you’re evaluatingBustly andPeel Insights, you’re already past “do I need analytics?”—you’re asking a better question:

Which tool helps me understand my store faster and make better decisions every week?

Both products aim to reduce dashboard chaos and turn data into insight. The difference ishow they get you there—and what workflows they’re built around.


TL;DR

ChoosePeel Insights if you want a guided, pre-built analytics experience focused on diagnosing performance and common ecommerce questions quickly.

ChooseBustly if you want a unified BI layer that connects Shopify + ads + traffic + pixel, makes “what changed” obvious, and supports templated dashboards + AI-driven querying and insight.


What they’re optimized for

Peel Insights (optimized for “guided diagnosis”)

Peel is known for helping merchants answer questions like:

  • Why did revenue drop?
  • Which channel/products drove growth?
  • Is this a conversion issue, traffic issue, or AOV issue?

It’s often structured aroundpre-built insights and analysis paths, so you don’t need to build dashboards from scratch.

Bustly (optimized for “full picture + change + action”)

Bustly is designed around four core ideas:

  • Business intelligence
  • See the full picture
  • Know what changed
  • Get the insights that matter

Bustly aims to bring Shopify + ads + traffic + pixel signals into one place, highlight change explicitly, and let users ask questions in context.


Side-by-side comparison (merchant use cases)

1) “I want to understand what happened this week”

Peel: Strong—built around quick diagnosis and curated views.

Bustly: Strong—focuses on change indicators + AI prompts like “Summarize what happened recently” and “What should I pay attention to?”

If you want the fastest guided analysis: Peel

If you want analysis + action workflow: Bustly

2) “My numbers don’t match (Shopify vs Ads vs Pixel)”

Peel: Typically Shopify-first; may not fully solve cross-source variance depending on setup.

Bustly: Designed to connect multiple sources and explain differences, so mismatches don’t become a weekly argument.

Best fit: Bustly (especially for multi-channel brands)

3) “I want dashboards I can tailor by store stage”

Peel: More standardized experience; great if you want one structured approach.

Bustly: Built for prebuilt templates + dashboard editing + versioning so you can ship different “first dashboards” for different merchant tiers.

Best fit: Bustly


Feature-level comparison (high-level)

Data scope

  • Peel: Strong Shopify-centric reporting and insight flows
  • Bustly: Shopify + Ads + Traffic + Pixel + benchmarking/attribution concepts

Insight model

  • Peel: Guided insight paths, structured analysis
  • Bustly: Change-first dashboards + AI Q&A + in-context chart insights

Dashboard model

  • Peel: Less “build your own,” more “use the product’s analysis views”
  • Bustly: Dashboard as the home base + templates + editable layouts + versioning

Which one should you choose?

Choose Peel if…

  • You want a Shopify-first tool that answers common ecommerce questions fast
  • You prefer guided analysis over building dashboards
  • Your workflow is mostly inside Shopify metrics and standard store reporting

Choose Bustly if…

  • You want one place for Shopify + ads + traffic + pixel
  • You want “what changed” to be instantly visible (not hidden in analysis steps)
  • You need templated dashboards for different merchant stages / industries
  • You want AI as a daily workflow: query data, explain charts, surface insights

A simple decision test

Ask yourself:

Do I want a tool that guides me through analysis, or a tool that becomes my operational dashboard and tells me what changed?

  • “Guide me through analysis” →Peel
  • “Be my business intelligence layer” →Bustly
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