Consumer app spending is up 73%.
Consumer app spending is up 73%.

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Atlas Views “Tooltips” 

Section Breakdown

  1. OmniTraffic Trends
    1. Section Overview:  Daily breakdown of top 50 most visited venues, applications and websites with category grouping and percent change month over month.  OmniTraffic trend data can be filtered by global location and demographic filters (found in the left hand bar), and local category or search filters (filters specific to charts).
      1. Top Apps:
        1. Category:  Filter, search, or hover to get the business vertical
        2. Rank: Hover over to see rank change from the previous month.
        3. Change: % change in application’s volume from most recent complete month and previous month (Example: If current date is 4/15, % change would be the prior full month (March) vs previous full month (February ))
      2. Top Websites:
        1. Category:  Filter, search, or hover to get the business vertical
        2. Rank: Hover over to see rank change from the previous month.
        3. Change: % change in application’s volume from most recent complete month and previous month
      3. Top Venues:
        1. Category:  Filter, search, or hover to get the business vertical
        2. Rank: Hover over to see rank change from the previous month.
        3. Change: % change in application’s volume from most recent complete month and previous month
  2. OmniTraffic Insights 
    1. Section Overview:  Trended and weighted daily visit data for venue, application and website aggregated by brand.  OmniTraffic insights can be filtered by global location and demographic filters (found in the left hand bar), and Grocery Retail Filters (Date, Brands).  Brands filter has a max of 5 selections at a time.  Section is broken into 3 views:
      1. Brick & Mortar: Venue visit data + median time in store
      2. App & Web:  Application & website traffic + median time online per day
      3. Combined: Total traffic (venue visits + website visits +app visits) 
  3. Consumer Sentiment
    1. Section Overview: Sentiment data from consumers exiting locations within the Grocery Brand set. Sentiment is broken into a side by side view of consumers who purchased all list items during their visit and those who did not and constitute missed opportunities referred to as ‘non-buyers’ in Views.
      1. Shopper Driver Ratio: A side by side comparison of what buyers and non-buyers rate as the most important factors of their purchase decision broken out by brand. The default view shows sentiments aggregated across products with the ability to filter insight to specific product categories provided as response options.
        1. Product Category: Consumers indicate which products they purchased during visit and rate their most important factor in that purchase.
        2. Buyer: Consumers who were able to purchase everything on their list during their visit.
        3. Non-Buyer: Consumers who were not able to purchase everything on their list during their visit resulting in missed sales.
      2. Trip Types: Insight into the consumers’ mission while visiting the store broken out by each type of trip per brand into a side by side comparison between buyer and non-buyer sentiment.
        1. Buyer: Consumers who were able to purchase everything on their list during their visit.
        2. Non-Buyer: Consumers who were not able to purchase everything on their list during their visit resulting in missed sales.
      3. Recommendation Score: A score to indicate likelihood of consumer recommendation per brand. This is based on the inference of their willingness to return to the Brand itself.
        1. Buyer: Consumers who were able to purchase everything on their list during their visit.
        2. Non-Buyer: Consumers who were not able to purchase everything on their list during their visit resulting in missed sales.

Section Dashboard Hover Tips

  1. Hover Sections
    1. Omni-Traffic Trends
      1. Application, Website, or Venue change in overall rankings between most recent full month and prior month based on volume of visits.
      2. Full name of application, website, or location.
      3. Full name of category for the respective application, website, or location.
      4. Rank change of application, website, or location.
    2. Omni-Traffic Insights
      1. Visitation Trends of Offline, Online, or a combination of both.
      2. Median Dwell Time: the Dwell time in the median, most representative, of data set for filtered data. 
    3. Shopper Driver Ratio
      1. Context: Insight into which factors are most important to consumers when shopping. By default this is aggregated across products but can be filtered by product category.
      2. Summary including: Brand, purchase driver factor and its respective ratio, Brand sample size, and total sample size.
      3. Category: product category respondents chose from in survey.
    4. Recommendation Score
      1. Summary including: brand name, recommendation score, sample size of brand, aggregate sample size of all brands
      2. Context: Recommendation Score is an inferred value based on consumers who are likely to return and recommend a brand. It is similar to, but not the same as, a Net Promoter Score (NPS).
    5. Trip Type Ratio
      1. Summary including: Brand, Trip Type, % of Total visits that Trip Type represents, Brand sample size, and total sample size.
      2. Context: Insight into the consumers’ mission while visiting the store broken out by each type of trip per brand into a side by side comparison between buyer and non-buyer sentiment.

Toolbar and Filter Tips

  1. Toolbar
    1. Pause
      1. Click here to pause the dashboard from refreshing as you make your filter selections.
    2. View Original
      1. Click here to save your personalized version of the Views dashboard. You can make as many versions as you like.
    3. Alerts – Admins only
      1. Click here to configure email alerts when data changes.Alerts will send emails to inform when data drops below a certain threshold.
    4. Download
      1. Download and share the default or personalized Views as an Image, PDF, PowerPoint, or the underlying raw ‘Data’ or ‘Cross Tab’
    5. Full Screen
      1. Enter/Exit Full Screen – switches between expanding the workbook to fill the entire screen and showing it in a window.
      2. Filters  
    6. Filters
      1. Use filters to personalize segmented Views to your specific needs.
    7. Date
      1. Select a timeframe you’d like to see the data. Supporting data has specific time frames found in the Atlas FAQ.
    8. Brands
      1. Select up to 5 brands from our grocery vertical. See more detailed information in FAQ.
    9. Locations
      1. Region – See State to Region mapping in FAQ
      2. State – The 50 United States
      3. DMA – (Designated Market Area) based on Nielson
    10. Demographics – balanced and weighted to US census
    11. Methodology Link
      1. Click here for detailed information how the Views data story is crafted
    12. Request a Survey
      1. Did an insight spark another question? Start a custom study with us to gain even deeper insights.
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