Datadrew : AI Ads Co‑Pilot vs ORCA Analytics & MA Service
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Oct 23, 2026 for Datadrew, Oct 14, 2026 for ORCA Analytics & MA Service.
The short answer
- Only Datadrew lists a free plan. Paid plans start at $99/month for Datadrew and $584/month for ORCA Analytics & MA Service.
- Datadrew lists 11 features ORCA Analytics & MA Service’s listing doesn’t mention, including Analytics dashboard, Benchmarking, Data export.
Head to head
(Free) Analyse your customers like a data scientist
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Free
- · 10 Users
- · Access to Prompt library for MCP(Claude)
- · Basic Customer Segments
- · Blended Ads Summary
- · Historical Data - Last 3 months
- · LTV Cohort Analysis
Essentials
- · Acquisition - Meta, Google ads and GA4
- · Claude, ChatGPT, N8N, Manus - Drew MCP
- · Drew AI Analyst with AI credits
- · Everything in Free, Plus
- · Historical Data - All time
- · Multi-Store and Unlimited Ad Accounts
Pro
- · Automations - AI Reports
- · Drew AI Analyst - 2x AI credits
- · Everything in Essentials, plus
- · Product Ads and Performance cohorts
- · Product Basket Analysis
- · Product Intelligence
Free Plan
- · 30-day full-feature trial (starting from the installation date). Data updates will be unavailable after expiration. See more details below.
Monthly plan
- · Complete sales analysis(incl. LRFM)
- · Customer retention & churn analysis
- · Full feature access:
- · GA4 data integration
- · Marketing Automation tools
Yearly charge
- · Complete sales analysis(incl. LRFM)
- · Customer retention & churn analysis
- · Full feature access:
- · GA4 data integration
- · Marketing Automation tools
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureTrusted by 1025+ Shopify brands, Datadrew AI transforms your raw data into AI powered insights, and into data driven decisions to accelerate customer acquisition and retention and improve product merchandising. Our platform help founders and CMOs increase paid ads ROAS/MER - reduce adspend wastage, out-of-stock products in ads, reduce creative fatigue. Spot website conversion drops & product baskets increasing AOV.
As an e-commerce operator, are you facing rising ad costs, declining traffic, relying solely on loyalty cards, or planning marketing by intuition? In the big data era, precise segmentation is essential. ORCA analyzes customer behavior, building LRFM models and segments. It calculates key metrics and finds the best product bundling, high-value customers, and conversion opportunities.
- Cohort Analysis: Unlock 90-day LTV and Retention insights.
- Product Analytics: Discover retention-boosting products to drive repeat purchase
- Industry Benchmarking: Measure up against your competition.
- Marketing Analytics: Optimize Facebook ads & reduce CAC.
- 行銷數據概覽：從特定的時間區間，檢視 LRFM、會員分群及交易行為之相關指標，包括：滲透率、會員屬性交叉分析、每人平均購買量、客單價、交易次數…等。
- 商品搭售建議：在特定時間區間內，分析出兩種商品的銷售表現及其覆蓋率，進而規劃搭售行銷活動。
- 商品開發策略建議：分析特定時間區間內，各商品分類與上個同段時間區間(季、年)的流失率、留存率、新客率、重複率、移轉率，參考分析結果來進行商品開發策略。
- 強化個人化商品推薦：分析特定 BU 或子品牌中，全部產品分群組合的相關性分析，以此分析結果來向顧客推薦高關聯性商品，增加消費者購買與個人化行銷體驗。
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  Datadrew |  ORCA Analytics & MA Service |
|---|---|---|
| Detected stores | Not published | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | Datadrew | ORCA Analytics & MA Service |
|---|---|---|
| App Store rating | 5.0 ★ | Not published |
| App Store reviews | 30 | Not published |
| New reviews, 28 days | 2 | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | Datadrew | ORCA Analytics & MA Service |
|---|---|---|
| Free plan | Yes | Not listed |
| Lowest paid monthly plan | $99/month(ahead) | $584/month |
| Longest free trial | 7 days | 30 days |
| Plans listed | 3 | 3 |
Listing
| Measure | Datadrew | ORCA Analytics & MA Service |
|---|---|---|
| Shopify category rank | #59 | #1016 |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Feb 12, 2021 | Dec 20, 2023 |
| Languages | 3 | 2 |
| Developer | Datadrew AI | 潮網科技 |
FAQ
Datadrew and ORCA Analytics & MA Service: common questions
- Is Datadrew or ORCA Analytics & MA Service cheaper?
- Only Datadrew lists a free plan. Paid plans start at $99/month for Datadrew and $584/month for ORCA Analytics & MA Service. Shoplist compares base prices only between monthly plans in the same currency; usage charges and annual plans vary, so check each plan’s limits.
- What features does each app list that the other doesn’t?
- Datadrew lists 11 the others don’t mention, such as Analytics dashboard, Benchmarking, Data export, Funnel analysis. ORCA Analytics & MA Service lists 2 the others don’t mention, such as Checkout analytics, Custom reports. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Oct 23, 2026 for Datadrew, Oct 14, 2026 for ORCA Analytics & MA Service; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Oct 23, 2026 for Datadrew, Oct 14, 2026 for ORCA Analytics & MA Service. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.