INSIA
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- MAP and price monitoring
- Seller analytics
- Momentum analytics
- Promotional insights
- Monitoring MAP violations
- Bringing price parity between online channels and offline channels
- Monitoring discounts by competitors
- Stock availability of your products
- Detecting unauthorized sellers
- Improving distribution
- Analyzing competing brands
- Detailed breakdown of assortments across retailers
- Monitoring demand indicators at a SKU level
- Analyzing change in assortments by competitors
- Benchmark brand product placement across retailers
- Tracking promotion effectiveness
- Discovering the brands competitors are promoting
- REST APIs
- Technical support
Pricing Info
Pricing Info
DataWeave Brand Analytics enterprise pricing information is available only upon request. Contact the company directly for your quote, or ask for more details on their product.
Integrations
Integrations
DataWeave Brand Analytics is built on Rest APIs and can integrate with any products/services that can connect with Rest APIs.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Puma
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
DataWeave Brand Analytics provides brands with insights into how their brand is being projected online.
Company Email
Contact No.
Company's Address
DataWeave Software Pvt Ltd
Sai Suvarna Arcade, No 1-10/A, 2nd Floor,
27th Cross, 2nd Main Road, 7th Block,
Jayanagar, Bangalore, Karnataka 560070
India
DataWeave Brand Analytics Comparisons
Popular DataWeave Brand Analytics Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Data Connectors
- Charts & Dashboards
- Data Stories
- Drill-Down Paths
- Guided Intelligence
- AI-Curated Analytics
- Performance Deviation Reports
- Anomaly Detection
- Feedback Loop
- Analysis Techniques
- Mobile App
- Security
- User Access Control
Pricing Info
INSIA’s enterprise pricing plan starts from $150/month. You’ll be charged based on your usage, including the volume of data, search queries, and events you process. INSIA can also be purchased and implemented as a partially managed or fully managed solution.
You can deploy the platform on your own private cloud server while the vendor handles it for you. For the second option, the vendor will host and handle the platform along with your data on their own server. Kindly contact their sales team for more details.
Integrations
INSIA integrates with:
- Facebook Ads
- LinkedIn Ads
- Google Analytics
- Google Ads
- Magento
- MS Excel
- PostgreSQL
- MySQL
- MariaDB
- MSSQL
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Scalenut, Machineries, Parapo
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
INSIA is a business analytics platform for non-technical users to quickly and proactively make better insights and decisions out of their data.
Company Email
Contact No.
Company's Address
Aramse Technologies Private Limited
No.328, 5th Cross Rd, 2nd Stage, Rajajinagar, Bengaluru, Karnataka 560010
India
INSIA Comparisons
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No Business Intelligence Software will be able to cover all the needs of a business. Though core features of DataWeave Brand Analytics and INSIA are obviously a priority you should also carefully examine the integrations provided by every product. Quote frequently your team will already be using some other B2B software in your company and it’s definitely more beneficial to select apps that integrate well with each other. That way you will be able to guarantee a reliable exchange of information between your teams and software used, which can considerably reduce time spent on migrating between one app and the other.
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