# Daymark
> Daymark is an AI analytics workspace for GTM, ecommerce, product, and revenue teams. It connects tools like HubSpot, Google Analytics, Google Ads, Meta Ads, Google Search Console, Shopify, PostgreSQL, Google Sheets, and CSVs so teams can ask plain-English questions, analyze data across sources, and turn answers into shareable dashboards. The metrics library supports this product, but Daymark's main product is cross-source analytics, reporting, and decision support.

## Product overview
- [Homepage](https://www.usedaymark.io/): Overview of Daymark's core product, including plain-English analytics, cross-source analysis, shareable dashboards, and AI safety safeguards.
- [Integrations](https://www.usedaymark.io/integrations): Connect data sources in minutes, keep access read-only, and ask questions across your stack without building custom pipelines.
- [Pricing](https://www.usedaymark.io/pricing): Plan details, collaboration limits, connector availability, and AI/data handling safeguards.
- [Connect Daymark to Slack](https://www.usedaymark.io/connect-to-slack): Ask Daymark questions inside Slack threads and bring answers from connected data sources directly into team conversations.
- [Shopify Dashboard](https://www.usedaymark.io/shopify-dashboard): Product page focused on store analytics, profit analysis, refunds, repeat purchases, and ad performance for Shopify teams.

## Main product capabilities
- Ask questions in plain English and get charts, tables, and summaries without needing SQL.
- Combine answers across CRM, analytics, ads, search, ecommerce, spreadsheets, and database sources in one workspace.
- Save query results to dashboards and share them with teammates so everyone works from the same numbers.
- Use Daymark for store conversion analysis, GA4 funnel analysis, paid ads ROI, SEO opportunity discovery, pipeline analysis, and revenue reporting.
- Connect sources with read-only permissions; Daymark does not modify production systems.

## Common use cases
- [SEO Opportunities from Search Console](https://www.usedaymark.io/usecases/search-console-seo-opportunities): Connect Search Console and conversion data to find pages and keywords most likely to win more clicks.
- [Google Analytics Growth and ROI Analysis](https://www.usedaymark.io/usecases/google-analytics-growth-roi-analysis): Find which traffic sources, landing pages, devices, and funnels actually convert instead of just sending visits.
- [HubSpot Pipeline Revenue Analysis](https://www.usedaymark.io/usecases/hubspot-pipeline-revenue-analysis): See where leads and deals slow down, which stages leak, and what blocks revenue.
- [Ads ROI Analysis](https://www.usedaymark.io/usecases/ads-roi-analysis): Compare Google Ads and Meta Ads performance to find the campaigns worth more budget.
- [Cross-Integration Attribution Analysis](https://www.usedaymark.io/usecases/cross-integration-attribution-analysis): Connect ads, analytics, search, and CRM data to measure true campaign ROI and cost per outcome.
- [SaaS Growth Metrics Analysis](https://www.usedaymark.io/usecases/saas-growth-metrics-analysis): Track signups, activation, paid conversion, churn, and recurring revenue from product and database data.

## Shopify and ecommerce use
- Track conversion of your Shopify store by landing page, source, product, device, and campaign.
- Improve store conversion by finding where shoppers drop off between landing page, product page, cart, checkout, and repeat purchase.
- Connect Shopify with GA4 and ad platforms to see which campaigns bring profitable orders and repeat customers.
- Understand refunds, discounts, shipping, product mix, and returns so revenue and profit decisions are based on real margin.

## GTM and revenue use
- Find insights from your GA4 funnels, paid ads, CRM pipeline, and revenue data in one place.
- Separate high-volume traffic from high-converting traffic so budget and optimization decisions are based on outcomes.
- See how marketing, sales, and product data connect when diagnosing CAC, conversion, pipeline coverage, churn, retention, or expansion.
- Use shared dashboards and Slack delivery to keep teams aligned on what changed and what to improve next.

## Metrics library
- [Metrics Library](https://www.usedaymark.io/metrics): Reference content covering metric definitions, formulas, worked examples, benchmarks, mistakes, and dashboard guidance.
- [Activation Rate](https://www.usedaymark.io/metrics/activation-rate): Example of product and funnel metric guidance used by growth teams.
- [Customer Acquisition Cost](https://www.usedaymark.io/metrics/customer-acquisition-cost): Example of cost-efficiency reporting tied to ads, funnels, and revenue.
- [Lead-to-Customer Conversion](https://www.usedaymark.io/metrics/lead-to-customer-conversion): Example of sales-funnel conversion reporting across stages and sources.

## Key facts
- Daymark is a product analytics and GTM analytics tool, not just a metrics glossary.
- The product is built for answering business questions across connected systems, especially where the answer does not live in one tool.
- Typical workflows include Shopify performance analysis, GA4 funnel analysis, paid ads optimization, SEO reporting, HubSpot pipeline analysis, and SaaS growth reporting.
- Daymark uses read-only connectors, minimum-permission access, and does not use customer data to train AI models.
- Teams can move from question to answer to dashboard without building a custom reporting pipeline first.