Low Conversion Logic Tree

Low conversion logic tree

This logic tree separates a conversion decline into traffic quality and the purchase flow. A shift in channel mix can lower conversion even if the site itself has not changed. If traffic is stable, funnel data can show whether the failure occurs on the landing page, product page, checkout, or payment step. The tree also keeps shipping cost, stock, and offer clarity visible as distinct explanations. Use comparable cohorts and dates when testing the branches, because seasonality and campaigns can distort headline conversion. The output should be a short list of supported hypotheses ready for experiments or fixes. It gives readers a concise reference they can reuse when discussing the result with colleagues.

類型 決策樹標準 Howard-Raiffa / CART-sklearn / taxonomy引擎 schematex-decisiontree更新時間 2026/9/24

需求

“A logic tree for falling ecommerce conversion: split into Traffic quality and Purchase flow, with channel mix, landing pages, checkout completion, payment errors, shipping costs, price, stock, and product pages.”

接著試試Add a mobile performance branchSplit payment errors by payment method

這張圖裡有什麼

看懂背後的決策。

01Traffic

Check whether visitor intent changed.

02Flow

Locate the funnel stage with the largest drop.

03Offer

Test price, stock, and message only after the data supports it.

Use to structure a conversion-rate investigation before selecting experiments.

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常見問題

What is traffic quality?

How closely visitors match the audience and intent likely to purchase.

Why use cohorts?

They separate changes in visitor mix from changes in site performance.

What is a purchase-flow check?

Comparing completion rates at each step from landing to payment.