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Best Shopping Intent Datasets, Databases & APIs

What is Shopping Intent Data?

Shopping intent data is a record that gives the level of willingness of shoppers to buy a product. It's used by the marketing and sales departments to increase revenue, share ideas and build powerful workflows. Datarade helps you get the best Shopping intent datasets and APIs.Learn more

11 Results

Stirista's Instant Intent Data

by Stirista
The most important data for driving sales is Intent Data. ... Intent data is the set behavioral signals, or actions taken, that show the intention of your prospects
Available for 1 countries
1 years of historical data
Pricing available upon request

Keyboard Inputs Data APAC - Text, Voice and Search Queries (Conversation Intent & In-App Searches, 52M records) - 1st Party Data

by AI Keyboard
Eg., intent to order food online, intent to buy a product, intent to make a payment, mood to watch a ... so on… Search queries: Search queries across all apps are captured and processed for a meaningful intent
Available for 11 countries
52 million
3 years of historical data
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
revenue share

Swash Consumer Loyalty Rewards Audience (Cryptocurrency)

by Swash
These technology-savvy consumers understand that their data is valuable and also view cryptocurrency ... By adding the Swash plug-in to their internet browser, each consumer gives permission for their data
Available for 182 countries
Pricing available upon request
Start icon5.0(1)

Amazon User / Customer / Reviewer Profile - Past Purchases & Reviews

by Unwrangle
This data can be used to track customer loyalty and target audience for any brand that distributes using
Available for 1 countries
800 records per request
10 years of historical data
90% coverage
Starts at
$10 / 10,000 credits
Free sample available

Burbio - Event Data - US Community Activity Index - Reopening Measurement

by Burbio
Hyper local community event data measuring government, library and non-profit activity in every community ... across all 3,000 US counties in the US post-COVID through an intensely local and dynamically measured data
Available for 1 countries
1.5M Events Updated Daily
4 months of historical data
Starts at
$2,000$1,800 / month
10% Datarade discount
Free sample available

PreciseTarget On-Sale Audiences | USA Audiences for over 50 Product Segments (>220 Million consumers)

by PreciseTarget
In this unique data set, we’ve assembled audiences whose purchase history shows a preference for your
Available for 1 countries
220M US Shoppers
1 years of historical data
99% US population
Pricing available upon request
Datarade discount
Free sample available
revenue share

PreciseTarget Product Taste Insights | USA Audiences for 150 Product Segments (220 Million consumers)

by PreciseTarget
Identify high-value customers most likely to purchase a specific product category. • Over 150 product segments • Product categories include: Apparel, Footwear, Cosmetics, Accessories
Available for 1 countries
220M US shoppers
5 years of historical data
99% US population
Pricing available upon request
Datarade discount
Free sample available
revenue share

PreciseTarget Customer Taste Profile | USA Audiences ranking customer preferences by 30 categories (220 Million consumers)

by PreciseTarget
PreciseTarget’s powerful Consumer Taste Profile data instantly enriches your customer database. ... consumer purchases from 3,000 brands to create profiles of 99% of apparel and footwear shoppers • Our data
Available for 1 countries
220M US Shoppers
5 years of historical data
99% US Consumers
Pricing available upon request
Datarade discount
Free sample available
revenue share

PreciseTarget Advanced TV Audience | USA Audiences based on Customer Tastes (220 Million consumers)

by PreciseTarget
We offer proven and unique TV optimized audience segments based on customer tastes, the key driver of buying decisions.
Available for 1 countries
220M shoppers
5 years of historical data
99% of US population
Pricing available upon request
Datarade discount
Free sample available
revenue share

PreciseTarget Retailer Taste Insights - USA Audiences for 70 Retailers (>220 Million consumers)

by PreciseTarget
Identify high-value customers whose taste best matches a retailer’s assortment. • Audiences for 70 retailers • Larger retailers are broken out by departments
Available for 1 countries
220M US Shoppers
5 years of historical data
99% US Population
Pricing available upon request
Datarade discount
Free sample available
revenue share
datarade.ai - AI Keyboard profile banner
AI Keyboard
Based in India
AI Keyboard
Bobble AI is transforming conversations of over 30 million users and counting. It includes speech-to-text capabilities and is accessible in approximately 100...
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Unwrangle
Based in India
Unwrangle
Scrape online reviews without worrying about crawlers, headless browsers, proxies or CAPTCHAS. Focus on your main business and use our REST api.
5000+
Records per request
99%
Accuracy
Consistent
Schema
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Stirista
Based in USA
Stirista
Stirista features a wide variety of audience types including Geolocation (Visitor Data), B2B, Consumer, Purchase-based, Online Activity, Intent, B2B Technolo...
Location
Data Updated in Real-Time
60 Million
B2B Professionals
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Swash
Based in Finland
Swash
Swash is a browser plugin that collects Search & Click Feed, Navigation Feed, Transaction Feed data across major domains. We provide zero-party consumer d...
GDPR, CCPA
Compliant
Zero-party
Collection methods
Real-time
Data
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PreciseTarget
Based in USA
PreciseTarget
PreciseTarget is the first data-science company to machine learn over 5 billion retail transactions to map the shopping Tastes of 220 million Americans. Prec...
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Burbio
Based in USA
Burbio
Burbio.com is the industry leader in aggregating school, government, library and community event information for investment decision making. Burbio’s technol...
150,000
School and Community Calendars
3,000
US Counties Measured

The Ultimate Guide to Shopping Intent Data 2022

Learn about shopping intent data analytics, sources, and collection.

What is Shopping Intent Data?

Shopping intent data is a collection of a buyer’s purchase behavior that provides you with the ability to gauge and predict customer intent. Shopping intent data helps you identify active customers and reach the right prospect at the right moment with the right message. It is related to the browsing activity of an individual or a company whose interests can be depicted via caches or a recent online footprint.

Shopping intent data covers online research of actual customers’ journeys and draws a purchase intent signal from those. It creates the most accurate way to predict who is in the market for your product.

How is Shopping Intent Data collected?

The process of shopping intent data collection falls in one of two main sections, each of which best serves a separate purpose:
1: Internal intent data (also known as first-party data) is the activity in which companies capture data on its website through its marketing automation software or through weblogs. With the help of this, companies will come to recognise highly predictive buying signals, as the content is related to the purchase decision.
2: External intent data (or third-party data) is obtained by publisher networks, either at the IP level or by user registration and cookies. Data from these sites shows the blogs a user reads, the content they download, their site searches and possibly even comments they drop.

What are the attributes of Shopping Intent Data?

The three major attributes of shopping intent data are: 1st -party, 2nd-party and 3rd -party.

  1. FIRST-PARTY SHOPPING INTENT DATA: This is the type of shopping intent data that is collected from known contacts and visitors. It covers everything from prospect communications with your website to emails and social media. It is used to share ideas, build workflows, helps in advertising and in increasing sales.

  2. SECOND-PARTY SHOPPING INTENT DATA: Second-party shopping intent data is the data is collected by another company. Sources of second-party shopping intent data usually cover review sites or publishing networks. The user grants the company authority to share or sell their behaviour — sometimes with their contact details.

  3. THIRD-PARTY SHOPPING INTENT DATA: Third-party shopping intent data is the data is gathered from all over the internet, although some models only monitor a network of websites. This type of shopping intent data is usually mined using three methods: reverse IP lookup, information from ad networks and widgets, and media exchange/publishing members.

What is Shopping Intent Data used for?

Shopping intent data is used to inform sales and marketing departments when their high-value accounts are in buying mode for a specific solution. Shopping intent data is also used to increase conversions and sales.

Here are some common uses of shopping intent data:

  • To build targeted audience lists – Sales and marketing teams can dynamically refine their leads lists to prioritize users that show an active interest in their products.
  • Account-based marketing (ABM) – Sales and marketing teams can choose ABM accounts based on their level of interaction, analysis and account-wide intent.
  • Personalization – Sales teams can better personalize the fundamental outreach with the resources that meet whatever the accounts team is already looking for.
  • Targeted advertising – Shopping intent data is used to produce more targeted ads to both known and anonymous prospects via programmatic adverts.

How can a user assess the quality of Shopping Intent Data?

The quality of shopping intent data is dependent completely on how it’s used – marketers have to create workflows and campaigns based on a wide range of data, including demographic and firmographic factors. Another key point to remember about shopping intent data monitoring is that its purpose is to find actionable trends in literally billions of data points on user buying intent. So the quality of the data is linked closely to the data accuracy and its breadth of coverage.

Here are some questions you should think of while applying the shopping intent data to your marketing strategy.

  1. How is the data checked for accuracy?
  2. What technologies are used to gather the shopping intent data?
  3. How this data can be used to trigger programmatic ads?
  4. What are the formats is the data available in?

    Where can I buy Shopping Intent Data?

    Data providers and vendors listed on Datarade sell Shopping Intent Data products and samples. Popular Shopping Intent Data products and datasets available on our platform are Stirista’s Instant Intent Data by Stirista, Keyboard Inputs Data APAC - Text, Voice and Search Queries (Conversation Intent & In-App Searches, 52M records) - 1st Party Data by AI Keyboard, and Swash Consumer Loyalty Rewards Audience (Cryptocurrency) by Swash.

How can I get Shopping Intent Data?

You can get Shopping Intent Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Shopping Intent Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Shopping Intent Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Shopping Intent Data?

Shopping Intent Data is similar to Purchase Intent Data, Online Purchase Data, Purchase Panel Data, Purchase History Data, and Purchase Behavior Data. These data categories are commonly used for Purchase Intelligence and Intent Based Marketing.

What are the most common use cases for Shopping Intent Data?

The top use cases for Shopping Intent Data are Purchase Intelligence and Intent Based Marketing.