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Snag uses Google’s data visualization tool, Looker, to manage reporting for all program data. Using Looker lets us ship faster by removing the need to build every reporting feature as a separate dev task. Historically, dashboards were shared via custom links per project. Moving forward (as of November ’25), all partners will use a single shared dashboard link, with data automatically isolated by partner instance and permissioned based on your email: https://lookerstudio.google.com/u/0/reporting/d2b6a810-d985-4226-9c02-bc3666a1f263/page/tEnnC 

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How to Use Looker / Best Practices

These are the two most frequent issues users run into:
  1. Filters are case-sensitive and require lowercase entries - This is especially important for wallet addresses. Before entering an address into a filter, convert it to lowercase. You can use: https://convertcase.net/ to quickly convert upper + lower case addresses to lowercase.
  2. Downloading data uses the hidden “three dots” - Downloads are accessed from the hover-only three dots inside each table or chart, not the three dots at the top of the view next to “Edit.” Hover → click the three dots → choose your export format. Note: Downloads are capped at 750k rows. For exports larger than 750k rows, either:
    • Split the download using filters, or
    • Use our APIs.
Looker1 Pn
Looker2 Pn

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Available data

Below is a summary of the available views in Looker and their core use cases.
  1. Transactions: used to look at raw loyalty transaction data for every quest completed. This includes multipliers applied to the transaction, but multipliers themselves aren’t includes as ‘rows’ only points earned. 
    • You can also find poll and text entry response submissions for polls and text entry response quests here. 
  2. Accounts: This is your CRM with an overview of associated wallet addresses, social profiles, and email addresses. 
  3. Referral Scoreboard: Look at top referrers, with summary statistics for number of a users referrals completing account set up and the ability to filter by referrer.
  4. Referred Users: Deep dive into all of the referred addresses from any specific referring user. 
  5. Transaction Counts: Overview of quests completed by quest type and distribution of points distributed + quests completed by wallet address. 
  6. Point Distributions: Overview of points distributed, outstanding, and spent over time. 
  7. Minting: All contracts created and assets minted via our minting + rewards shop platform with summary’s of both contracts created and specific assets minted. 
  8. Burn Data: A summary of all information collected from both our burn to redeem and collect user information flows in our minting + rewards shop. 
  9. Auction Data: A summary of all auctions data and auction winners from our minting + rewards shop. 
  10. Loyalty Badges: An overview of all badges rewarded to users. 
  11. Sweepstakes: A detailed export of every sweepstakes entry and status. (Winner / not winner) 
  12. Sweepstakes Summary Data: An overview of number of entries + unique users for each sweepstakes. 
  13. Rule Usage: A deep dive into all quests created on the platform and the % of users engaging with each. 
  14. First + Last + IP: An overview of user first + last transaction dates, IP addresses, and any location data based on IP. 
  15. Social Posts: Post text and metadata for tracked X + TikTok posts rewarded via Snag social quests (New Post + Impression quests).