ORCA Analytics

Develop by Shopify

$599-$999

/ Month

14 Days Free Trial

Optimize growth with ORCA: unified analytics for advertising and sales insights.

Unified analytics platform

Track goals pacing

Forecast revenue trends

Analyze customer journey

Ltv by channel

About ORCA Analytics

Launched Jul 02, 2025

Built by Shopify

Address

Albuquerque, NM, US

Website Support Portal Privacy policy Tutorial FAQ Document

Claim Offer

ZB: WhatsApp & Messenger Chat

(16 Reviews)

Claim Offer

Sponsored

Support your customers quickly using Facebook Live Chat.

Description

Dashboards to track pacing against goals, forecast revenue, & analyze LTV by channel & product

ORCA helps brands understand business and channel level performance by combining ad platform data, attribution, and sales. Track pacing vs. goals, forecast revenue using cohorts, benchmarks, and seasonal trends, analyze customer journey by product, and LTV by channel. ORCA gives clarity to your growth strategy, without switching between dashboards.

Set revenue & CAC/MER targets and track pacing of actuals vs targets
Attribution to understand incremental impact of ad spend across channels
Creative performance to see which ads drive the highest CTR/CPA/ROAS
View LTV and customer journey by product or acquisition channel
Sync all your data into Google Sheets for custom modeling and forecasting

Pros

Unified analytics for advertising and sales insights, eliminating the need to switch between different dashboards.
Comprehensive tracking and forecasting features, including revenue forecasting using cohorts, benchmarks, and seasonal trends.
Ability to analyze customer journey by product and calculate lifetime value (LTV) by channel.
Set and track revenue and CAC/MER targets effectively.
Attribution feature helps understand the incremental impact of ad spend across different channels.
Creative performance analysis to determine which ads drive the highest click-through rate (CTR), cost per acquisition (CPA), and return on ad spend (ROAS).
Option to sync data into Google Sheets for custom modeling and forecasting.

Cons

Steep learning curve for users unfamiliar with analytics tools.
Potential data privacy concerns when integrating with multiple ad platforms.
Might require extensive data integration setup, which can be time-consuming for smaller businesses.
Complexity in customization may require additional support for optimal use.