Conjura vs Daasity Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Conjura

0.0 (0 reviews)

Conjura is an e-commerce analytics platform that centralizes your data to provide actionable insights into customer behavior, inventory management, and marketing performance for faster business growth.

Starting at --
Free Trial NO FREE TRIAL
VS

Daasity

0.0 (0 reviews)

Daasity is a data analytics platform that centralizes your omnichannel retail data into a unified warehouse to provide actionable insights for scaling your e-commerce brand effectively.

Starting at $199/mo
Free Trial NO FREE TRIAL

Quick Comparison

Feature Conjura Daasity
Website conjura.com daasity.com
Pricing Model Custom Subscription
Starting Price Custom Pricing $199/month
FREE Trial ✘ No free trial ✘ No free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud saas
Integrations Shopify Amazon Google Ads Meta Ads Klaviyo Google Analytics Magento WooCommerce BigCommerce NetSuite Shopify Amazon Klaviyo Facebook Ads Google Ads Attentive Recharge Snowflake BigQuery Gorgias
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries retail consumer-goods retail e-commerce consumer-goods
Customer Count 0 0
Founded Year 2018 2017
Headquarters London, UK San Diego, USA

Overview

C

Conjura

Conjura provides a centralized hub for your e-commerce data, connecting your sales, marketing, and inventory platforms into a single source of truth. You can stop manually merging spreadsheets and start seeing a clear picture of your business performance across every channel. The platform automatically processes complex data to reveal your most profitable customers and identifies which marketing campaigns actually drive long-term value.

You can use the platform to optimize your stock levels and predict future demand with high accuracy. By surfacing deep insights into customer lifetime value and acquisition costs, it helps you make smarter decisions about where to spend your next marketing dollar. It is designed specifically for growing online retailers who need enterprise-grade data science without hiring a dedicated team of analysts.

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Daasity

Daasity is a data platform built specifically for consumer brands and omnichannel retailers. You can stop wasting hours manually exporting CSVs from Shopify, Amazon, and your marketing tools. Instead, the platform automatically pulls all your data into a centralized warehouse, giving you a single source of truth for your entire business. You can track critical metrics like Customer Lifetime Value (LTV), acquisition costs, and inventory health across every channel you sell on.

By unifying your data, you can build more effective marketing segments and optimize your spend based on real profitability rather than surface-level platform metrics. Whether you are a growing Shopify brand or a large enterprise with complex retail needs, the platform provides the infrastructure to move from basic reporting to advanced data science. You can choose between pre-built dashboards for immediate insights or customize your own SQL-based models for deeper analysis.

Overview

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Conjura Features

  • Automated Data Integration Connect your Shopify, Amazon, Google Ads, and Meta accounts instantly to see all your performance metrics in one unified dashboard.
  • Customer Lifetime Value Identify your most loyal customers and understand their buying patterns so you can focus your budget on high-value acquisition.
  • Marketing Attribution Track the true impact of your ad spend across multiple channels to see exactly which campaigns are driving your sales.
  • Inventory Optimization Monitor your stock levels in real-time and receive alerts to prevent stockouts or overstocking on slow-moving products.
  • Cohort Analysis Group your customers by their first purchase date to see how retention and spending habits evolve over time.
  • Profitability Tracking Calculate your true net profit by factoring in shipping, returns, and ad spend alongside your gross sales data.
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Daasity Features

  • Omnichannel Integration. Connect your Shopify, Amazon, retail POS, and marketing data into one unified view of your entire business.
  • LTV & Retention Tracking. Analyze customer behavior over time to identify your most profitable segments and improve your long-term retention strategies.
  • Automated Data Warehouse. Send your cleaned and transformed data directly into Snowflake, BigQuery, or Redshift without writing any custom code.
  • Marketing Attribution. See exactly which channels drive your sales by combining platform data with post-purchase surveys and clickstream tracking.
  • Inventory Analytics. Monitor your stock levels and sell-through rates across all locations to prevent stockouts and optimize your cash flow.
  • Custom SQL Modeling. Build your own data models or use pre-built schemas to answer complex business questions unique to your brand.

Pricing Comparison

C

Conjura Pricing

D

Daasity Pricing

Growth
$199
  • Standard data integrations
  • Pre-built dashboard templates
  • Daily data refreshes
  • Email support
  • Basic marketing attribution

Pros & Cons

M

Conjura

Pros

  • Consolidates multiple data sources into one clean dashboard
  • Provides deep insights into customer lifetime value metrics
  • Eliminates the need for manual reporting in spreadsheets
  • Responsive customer success team helps with data onboarding
  • Identifies wasted ad spend across marketing channels

Cons

  • Initial data mapping can take time to configure
  • Pricing may be high for very small startups
  • Requires a baseline volume of data for best results
A

Daasity

Pros

  • Deeply specialized for Shopify and omnichannel retail needs
  • Saves significant time on manual data aggregation tasks
  • Provides highly accurate Customer Lifetime Value calculations
  • Excellent customer support with deep retail data expertise

Cons

  • Initial setup requires a significant time investment
  • Advanced features have a steep learning curve
  • Pricing can scale quickly as data volume increases
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