Shopify App : Audience Insights & Analytics

Advanced Google Analytics, Know Your Customer, Demographics

About Audience Insights & Analytics

Understand Your Audience : Gain comprehensive insight into the makeup of your audience across demographics, shopping behavior, interests, hobbies, and more

Personalize Experiences : Leverage your unique audience insights to fuel more relevant products, messaging, ad campaigns, UI/UX design, style, themes, and content

Improve Marketing Strategy : Monitor the impact of campaigns and effectively allocate media spend. Uncover hidden data insights and take action via Datonics 1k+ segments

Description

Know Your Customers on Shopify

Audience Insights provides valuable data about your shoppers so you can create a more personalized shopping and marketing experience. Get to know your customers and monitor how your visitors change over time in response to marketing efforts.

Audience Insights works best for stores with 15,000+ US and Canadian monthly unique visitor — stores with fewer visitors may have a limited experience (longer wait time for segments to generate and fewer segments).

Shopping Preferences Dashboard

Learn what visitors are in the market for or if a customer has brand loyalty!

Customer Interests Dashboard

Find out your customer’s interests at a more granular level. With the interest dashboard, you can now reach people based on a holistic picture of their lifestyles, passions, and habits. Find an insight, take an action.

Advanced Demographics Dashboard

Gather demographic data that isn’t possible on Google Analytics. Basic and advanced demographic data paired with life-stage data around important life milestones, like graduating from college, moving homes, or getting married.

Customer Data

By understanding when these customer data insights and moments are taking place, you can tailor your advertising or marketing to reach the right users with the right messages.

Audience Builder

Leverage our data to build audiences that will help you drive sales

Persona Matching

Start to understand and match your audience with personas to increase personalized marketing efforts

Segment Easily

Here are some of our audience segment examples and how your site visitors index against Datonics’ 1k+ prepackaged segments:

Demographics

  • Age
  • Gender
  • Household Income
  • Marital Status
  • Home-ownership
  • Political View
  • Family Structure
  • Occupation
  • Life Events
  • more...

Interests

  • Automotive
  • Gaming
  • Hobbies
  • Travel
  • Content Consumption (TV, Movies, Social, etc…)
  • Home & Garden
  • Style & Fashion
  • more...

Shopping Habits

  • Value Shoppers, Coupon Shoppers, Brand Loyals, Impulse Buyers
  • Online vs. Retail
  • Store Visitors based on GPS Classification
  • In-market for
  • Previously Purchased
  • Advertisement Propensity
  • Green Awareness
  • Reception to Advertisement Type
  • Online Activity Levels
  • more...

Most Popular Segment

Your store's unique breakdown of the highest indexing audience profiles

Data Based Insights

Stop wondering who your customers are. Start using data based insights to better understand your customers making your business decisions clearer and more impactful.

Exportable Reports

View, customize, and export reports spanning across all audience segments

Auto-Inserting Script

No need to worry about changes to your store's theme — Audience Insights will auto-insert the necessary script for continuous analytics.

App Images
Launch date
October 16, 2020
App rating
2.3
Top features

Seamless workflow: use directly in Shopify admin

Social media links

About the Author

Matej Kontros

Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.

Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.

Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.

Visit his website at [ Web Linkedin ] or contact him at [email protected].