“Our collaboration has been nothing short of a revolution. Dema's solution is now the beating heart of our operation and we'll keep evolving and growing together.”
Elin Glommen
CEO
Integrations
Your stack.
Working together.
Connect the sources behind your commercial decisions and the tools where work happens. Explore data connectors, file inputs and agent tools in one place.
Your tools, working together
Shopify
Google Ads
Meta
TikTok
Klaviyo
Slack
Pinterest
Google Sheets
SnapchatExplore data connectors and agent tools below.
Used by the teams at
A connection with a purpose
Bring the data in.
Put the insight to work.
Commerce and marketing sources bring orders, spend and context into Dema’s model. Refresh methods vary by source: batch, webhook or file.
MCP-enabled tools give agents access to connected systems within the permissions you set. Use the directory to see which connection types each integration supports.
All integrations
50 integrationsGoogle Ads
Spend, clicks, conversions, and campaign performance
BatchMCP
Meta Ads
Ad spend and performance across Facebook and Instagram
BatchMCP
TikTok Ads
Campaign metrics and spend data from TikTok
Batch
Pinterest Ads
Pin promotion spend and conversion tracking
BatchMCP
Snapchat Ads
Campaign performance and spend data
Batch
Google DV360
Display & Video 360 campaign data
Batch
Awin
Affiliate marketing performance and commission data
Batch
Google Merchant Center
Product listings, account status, and disapproval issues
MCP
Shopify
Orders, products, inventory, customers, and returns
BatchRealtimeMCP
Shopify Plus
Enterprise Shopify with multi-store support
BatchRealtimeMCP
Centra
Headless commerce platform integration
BatchRealtimeMCP
Commercetools
Composable commerce with orders, products, and inventory
BatchRealtimeMCP
Salesforce Commerce Cloud
Orders, catalog, and customer data from SFCC
Batch
Sitoo
Unified commerce and POS data
Batch
Google Analytics 4
Web traffic, events, and conversion data
BatchMCP
Google Search Console
Organic search impressions, clicks, and rankings
MCP
Google Tag Manager
Server-side tagging and real-time event collection
Realtime
Semrush
SEO, keyword, backlink, and competitive intelligence
MCP
Hotjar
Heatmaps, session recordings, and behavior analytics
MCP
Viametrics
In-store people-counting and footfall data
MCP
Madden Analytics
Marketing and performance analytics
MCP
Klaviyo
Email campaign metrics, flows, and revenue attribution
MCP
Voyado
CRM and loyalty program data
MCP
Intercom
Customer messaging, support tickets, and engagement data
MCP
Ometria
CRM contacts, segments, and transactional email
MCP
Attentive
SMS and email subscriptions and customer events
MCP
Rule
Email and SMS marketing automation
MCP
Gorgias
Support tickets, customer history, and helpdesk reporting
MCP
Microsoft Outlook
Read and send email via Outlook
MCP
BigQuery
Query and sync data from Google BigQuery
BatchMCP
Snowflake
Connect to Snowflake data warehouse
BatchMCP
Databricks
Lakehouse platform for analytics and AI
Batch
Azure SQL
Query and explore data in Azure SQL
MCP
Gmail
Read and send emails through the agent
MCP
Slack
Send messages, read channels, and trigger workflows
MCP
Netsuite
ERP data including financials, inventory, and procurement
MCP
Apify
Web scraping and automation actors for the agent
MCP
Google Sheets
Read and write data in Google Sheets
MCPBatch
Intelligems
A/B and price testing results and audiences
MCP
Convert
A/B test results and experiment control
MCP
Contentful
Entries, assets, and content model management
MCP
Storyblok
Stories, components, assets, and workflows
MCP
Ongoing WMS
Article data, stock balances, and warehouse info
MCP
Ingrid
Orders, returns, refunds, and delivery management
MCP
Figma
Read and work with Figma design files
MCP
Gamma
Generate presentations and decks
MCP
Typeform
Build forms and read responses
MCP
Microsoft Teams
Post messages and collaborate in Teams
MCP
CSV / sFTP
Upload flat files on a recurring schedule
File
GraphQL API
Query and mutate data via Dema's GraphQL API
MCPRealtime
Don't see your platform? We add new integrations regularly and support custom connections via API, CSV, and sFTP.
Request an integrationFrequently asked questions
Most teams are connected within a day. Ad platforms and e-commerce platforms authenticate with OAuth, so those take minutes each. The work that takes longer is agreeing on cost data — cost of goods, fulfilment rates and expected returns — because that is what turns revenue reporting into profit reporting, and it usually needs someone from finance rather than an API key.
At minimum: your ad platforms, your e-commerce platform or POS, and your cost data. Ad platforms alone give you spend and revenue, which is not enough — contribution margin needs cost of goods, fulfilment cost and a return rate per product or category. Cost data can arrive by API, CSV or sFTP if it lives in a system with no integration.
There are 50 integrations today and new ones are added regularly, but the list is not the limit. Custom connections are supported via API, CSV and sFTP, and Dema can read from a data warehouse you already populate — BigQuery, Snowflake, Databricks and Azure SQL are all supported. If your data is already modelled somewhere, connecting the warehouse is usually faster than connecting each source.
Most of them — 43 of the 50 expose MCP tools, which is what lets Dema's agents read and act rather than only report. Google Ads, Meta Ads, Pinterest and Google Merchant Center are all MCP-enabled, so an agent can inspect a campaign or a feed disapproval and change it, not just describe it.
It depends on the source. Integrations are tagged batch sync, realtime or file upload on this page. Realtime sources push via webhook as events occur; batch sources are polled on a schedule; file uploads land when you send them. Profit figures update as the underlying data arrives, so the freshest number in the platform is only as fresh as the slowest input it depends on.
Marketing mix modeling and geo-based incrementality testing use aggregate inputs rather than following individual user journeys. Multi-touch attribution depends on the touchpoints that can be recorded. The methods answer different questions and have different data requirements.
It can, and sometimes it should. If your warehouse already holds clean ad platform and order data, reading it directly avoids maintaining two copies of the same pipeline. The trade-off is latency and MCP access: warehouse tables are as fresh as your own ETL, and agents cannot act back into a platform they are not connected to.
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