Pliable E‑Commerce Analytics

Name: Pliable E‑Commerce Analytics Introduction Video
Uploaded: 2025-03-15T21:00:08Z
Duration: 1 min 33 s
Description: Simplify data management and analytics, no coding needed. Seamless Shopify integration.

Develop by Shopify

$699

/ Month

Free plan available 14 Days Free Trial

Simplify data management and analytics, no coding needed. Seamless Shopify integration.

Seamless integration

Automatic syncing

No-code automation

Data orchestration

Schema unification

About Pliable E‑Commerce Analytics

Launched Mar 12, 2025

Built by Shopify

Address

99 Wall Street, New York, NY, 10005, US

Website Support Portal Privacy policy Tutorial FAQ Document

Claim Offer

Zotabox Contact Form Builder

(132 Reviews)

Claim Offer

Sponsored

Add multiple, embeddable contact forms to your website.

Introduction Video

Description

Effortlessly track profit and loss, growth channels, customer LTV and behavior all-in-one app.

Pliable equips consumer brands with insights and reports for critical business decisions to scale growth. Track sales across platforms, profit, calculate precise lifetime value (LTV) and marketing analytics, and identify patterns in customer purchase behavior. Comprehensive integrations pull the metrics that matter into one app, with an automated P&L dashboard, ad spend and revenue attribution, shareable email reports, CAC payback tools, and industry-leading cohort analysis.

P&L- Make decisions with key metrics on one real-time dashboard (Shopify+Amazon)
LTV insights- Measure CLTV for audience segments for long term growth
Channel Analytics - Attribution overview, anomaly detection, campaign drill down
Product Analytics- Analyze product trends across marketplaces and by category.
Campaign Analysis- see CAC & Revenue trends for channel and audience segments

Pros

No coding required, making it accessible for non-technical users.
Seamless integration with Shopify, ensuring data is up-to-date automatically.
Runs on Snowflake, providing a robust, scalable backend infrastructure.
Simplifies complex data tasks like schema unification, deduplication, and normalization.
Semantic layer supports custom reporting, enhancing data-driven decision-making.

Cons

May have a learning curve for users unfamiliar with data management concepts.
Could be limited in customization options compared to bespoke solutions.
Reliant on Shopify and Snowflake for full functionality, may not suit organizations using different platforms.