ThoughtSpot for
Retail Analytics

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What if your merchants were their
own data analysts?

With ThoughtSpot, anyone can simply search to analyze billions of rows of data from any source - from online sales to social media conversations, inventory sales, and even in-store sensors - in seconds.

Example Search #1: Sales Growth by Category

Example Search #2: SpotIQ Sales Trends Insights

Example Search #3: Retail Sales Performance Pinboard

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Now everyone can make faster decisions and
improve the shopping experience.

Whether you’re in e-commerce, merchandising, finance or store operations, you
can get instant answers with ThoughtSpot. Below are a few use cases by role.

Merchandise Planners

Improve planning and optimize every store inch with instant access to sales and warehouse inventory levels across thousands of SKUs.

Brand Managers

Get instant answers about product, customer, and sales data to deliver personalized experiences across every channel.

Operations Managers

Maximize efficiency with instant access to store staffing data and hourly order volumes to improve employee productivity.

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"Timely access to information is extremely important, so that we're not starting to make wrong day-to-date decisions just because everything is changing so fast. And that's where ThoughtSpot is so, so crucial to me."


SKU-Level insights for Retailer and
CPGs with Search & AI

In the News

Pin-board wizards at TCC Wireless tilt to ThoughtSpot for data analytics

Read the article

Text-based Sentiment Analysis
with Snowflake Snowpark

With ThoughtSpot’s custom text-based sentiment analysis function, written in Java and loaded to Snowflake with Snowflake Snowpark, you can get instant insights into the reviews and comments your customers leave online. Sentiment analysis enables retailers to get ahead of emerging trends and understand changes in their customers’ preferences. By combining Live Analytics from ThoughtSpot with text data in Snowflake and the ability to execute custom analytics code with Snowflake Snowpark, sentiment analysis is just a live query away.

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ThoughtSpot for Retail & E-Commerce

Learn how leading merchandisers drive revenue with instant answers on all their data with search & AI-driven analytics.

Launching a Winning Cloud Analytics Strategy

Learn how innovative organizations are incorporating cloud technologies into their analytics strategies to get a 360 degree view of their customers and products.

Live Query Azure Synapse with ThoughtSpot Embrace

See how ThoughtSpot Embrace lets you run queries directly in your Synapse cloud data warehouse to give you the most up-to-date insights.

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The best companies use ThoughtSpot

Frequently asked questions

What is retail analytics?

Retail analytics is the process of analyzing data from a retail business in order to glean insights from patterns and trends to inform business decisions and drive actions. Retail analytics solves challenges like understanding what customers want, knowing what price points customers are willing to pay, matching inventory to demand, managing a supply chain, and more. It’s an incredibly helpful tool for all types of retail organizations, from the smallest to largest operations. Whether operating physical brick and mortar stores, an online presence, or both, both brand new businesses or centuries-old mainstays can leverage retail analytics to operate their business as effectively as possible.

Why is retail analytics important?

Financial analytics is critical to a business, as it informs and shapes the vast majority of business functions. Done correctly, financial analytics not only helps organizations control costs and operate efficiently, Retail analytics is important because it helps retailers make better business decisions. It enables them to gain data-driven insights into customer behaviors and preferences, product performance, store operations, and more. By leveraging retail analytics, businesses can build customer loyalty and improve marketing campaigns to drive sales growth.

Additionally, retail analytics can help retailers analyze the effectiveness of their promotions, determine the effectiveness of their store layouts, and identify areas of improvement in customer service. Retail analytics also helps retailers optimize pricing and inventory levels to ensure they are meeting customers’ needs with the right products at the right prices. For example, with retail analytics from ThoughtSpot, Canadian Tire, one of the largest retailers in Canada, was able to boost sales during the pandemic by 20% despite closing 40% of their brick and mortar stores. Learn more here .

What are some popular retail analytics software features?

Popular retail analytics software features can help retailers to make informed decisions and optimize their operations. These features typically include the ability to track customer behavior, analyze sales performance, and generate data-driven insights.. Through detailed real-time reporting, businesses can gain insights into which items are selling well and which ones need more attention.

They can also identify opportunities for promotional activities, such as cross-selling, upselling, and discounts. Additionally, retail analytics software can offer insights into inventory management, forecasting, and pricing strategies. Companies beating their competition with retail analytics software are doing so because they’ve picked a tool that extends the value of this retail data and insights to every business user, from merchandisers to marketers to pricing specialists without requiring extensive training or technical know-how. insights created can also be pushed directly into other applications, like marketing apps and CRM systems, so insights can be operationalized at scale.

What are the benefits of using ThoughtSpot for retail analytics?

ThoughtSpot offers a number of advantages when it comes to retail analytics. It is designed to help retailers uncover insights from their data quickly and easily. Using ThoughtSpot, retailers can directly connect to all their cloud data in their cloud data platform and instantly make it accessible for every kind of business user. Because ThoughtSpot was architected from inception for cloud data volumes, retailers can look at all their data instead of aggregates, summaries, or cubes.

Users can answer questions on the fly, or build interactive Liveboards to share collections of insights with others. These Liveboards are interactive, meaning whoever they are shared with can also ask questions or drill down to the finest level of detail needed.

ThoughtSpot also leverages AI, helping retailers detect trends or anomalies in their data without even needing to ask a question. This can help them tap into unknown opportunities or avoid potential obstacles that would otherwise remain undiscovered.

How does ThoughtSpot’s pricing work?

ThoughtSpot Team Edition is available at a flat $95 monthly subscription. You can easily sign up from our Free Trial and pay using a credit card. Once you subscribe, you will be billed $95/month until you cancel.

For other product editions, ThoughtSpot uses a consumption-based pricing model that lets you pay for what you use. Your annual contract consists of a base package that includes a set of credits that lets you execute a certain number of queries against a data source. You can purchase additional credits as part of your contract if you need more.

Is there a seat license limit for ThoughtSpot?

No. Unlike other products, our pricing model uniquely lets an unlimited number of users access ThoughtSpot.

Is there an annual subscription option for Team Edition?

You are billed a flat $95 monthly fee for Team Edition. There is no annual subscription option for Team Edition. Other ThoughtSpot product editions are licensed via annual contracts.

Have another question?

Contact us and tell us what you need and we can help you find the right solution.

Insights at the speed of thought.