Blazing fast implementation, backed by 74+ martech, data and growth stacks*
AI-ready marketing data your team can talk to and act on
We build one source of truth in Snowflake or BigQuery with MCP access, so Claude, Codex or your own agents can query it and act on it, and modeled audiences flow to Google Ads, your CRM and every marketing tool.
Running marketing ops, RevOps or GTM ops? See internal MCP for ops teams.
- Fixed price, no hourly billing
- Live in weeks, not quarters
- Startups get 50% off
- Free martech AI agent
Tools we implement
Snowflake
BigQuery
MCP servers
Claude
Codex
dbt
HubSpot
GA4
Mixpanel
Google Ads
Hightouch
* 74+ martech, data and growth stack implementations, delivered through martechdevs and Growth and Analytics Partners LLC.
Trusted by fast-growing teams
AI-ready data and MCP access, built on numbers you can trust
AI data consulting from the people who build the stack. We model your marketing data first, then connect it to AI over MCP, so every answer matches the numbers your team already trusts.
One source of truth for AI
Snowflake or BigQuery loaded from your CRM, ad platforms, product analytics and billing, and modeled with dbt into tables people understand.
Snowflake or BigQuery MCP server
An MCP server on your warehouse, so Claude, Codex or your own agents can query it, with the access you choose.
MCP for your marketing tools
Tools like HubSpot, GA4, Mixpanel or Google Ads connected over their own MCP servers. Where a tool has none, we build one on its API.
A semantic layer for AI
Revenue, CAC, pipeline and churn defined once, so the AI uses your definitions every time instead of guessing.
Audiences into Google Ads
Modeled audiences synced to Google Ads, HubSpot, Braze and more with Hightouch or Census, for segmentation and targeting.
Free martech AI agent
Slash commands and skills in Claude Code that run reports, campaigns and audiences on top of the data.
Talk to your data, and let AI agents act on it
Insights at your fingertips, and agents that do the work: activating segments for lifecycle messaging, predicting churn and acting on it, and personalizing offers, recommendations and pricing.
- Which customers are likely to churn this month, and what would keep them?. Reads Snowflake and HubSpot over MCP.
- Start a win-back journey in Braze for the customers most likely to churn.. Scores churn risk in Snowflake, then starts the Braze journey.
- Pick the best offer for each trial user and add it to their onboarding emails.. Scores offers in Snowflake, then updates HubSpot and Braze.
- Send trial users who look like our best customers to Google Ads as an audience.. Builds the audience in Snowflake, synced to Google Ads.
Ask your warehouse in Claude or Codex
AI marketing analytics in plain English, answered from Snowflake or BigQuery with your own definitions. Claude MCP integration, Codex and your own agents share the same access.
Proactive AI agents
Agents that watch your data and do the work without waiting to be asked: they flag drops, refresh audiences and start journeys.
Churn prediction, then action
Churn risk scored in the warehouse, and win-back journeys started in Braze or Customer.io for the customers at risk.
Personalized offers, recommendations and pricing
The next best offer, recommendation or price change picked for each customer, then sent to your CRM, lifecycle tools and ad platforms.
With every implementation
Yours after handover
The MCP access, the agents and the docs live in your own accounts. Your team runs it all with AI, without depending on us.
No retainer needed
A one-time setup at a fixed price. There is no monthly retainer to keep it running, so your costs go down over time.
Right from day one
Anyone can set up a tool with AI, but it's only as good as what the AI guesses. We know what works from 74+ implementations.
Free martech AI agent
Every implementation includes it: slash commands and skills that run your whole stack in Claude Code.
See the agent
Not sure your data is ready for AI? Use the AI readiness checklist
Internal MCP for marketing ops, RevOps and GTM ops
A private MCP server over your CRM, ad accounts, warehouse, product analytics and messaging tools, built for ops teams. Your CRM and ads in Claude: ops teams ask, AI answers, and they act on real data.
Marketing ops
Campaign setup checks, UTM rules and list pulls
Check a campaign against your naming and UTM rules before it launches, and pull the list you need without filing a ticket.
RevOps
Pipeline questions, answered
AI for RevOps on your own CRM: where the pipeline stands, lead routing checks and forecast inputs, in plain English.
GTM ops
Enrichment, segment and territory lists
GTM ops AI that enriches accounts, builds segment and territory lists, and checks outbound before it goes out.
One MCP for all ops data
Your CRM, ad accounts, warehouse, product analytics and messaging tools behind one private MCP server.
Access set per team
Each team gets the tools and data it needs, and works through Claude or its own agents.
Context engineering built in
We engineer the context too: your definitions, playbooks and rules, so the answers are right.
Sound familiar?
Every question waits on the one person who knows SQL.
So decisions wait a week, or get made without data.
AI gives confident answers from messy data.
Three definitions of revenue mean three different answers.
Your best customer data never reaches your ads.
Google Ads and the CRM still target on guesswork.
Every new report is another agency ticket.
You pay a retainer for answers your team could get itself.
We build one source of truth with MCP access on top, so your team asks Claude or Codex and gets answers from clean, modeled data, and the same data flows to Google Ads and every tool as audiences.
AI-ready marketing data, step by step
01
Free AI data audit
We map your sources, your tools and the questions your team wants to ask.
02
Fixed quote
Price, scope and timeline by email, usually within one business day.
03
Model the data
Warehouse, pipelines and dbt models, with each metric defined once.
04
Connect AI over MCP
MCP servers set up for the warehouse and your tools, tested with your real questions.
05
Activate audiences
Modeled audiences synced to Google Ads, your CRM and your messaging tools.
06
Hand over
Docs, training and your martech AI agent, so your team runs it without us.
Don't take our word for it. Hear it from the founders who handed us their stack.
JB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4
SegmentGoogle AdsElie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
Mixpanel
Customer.ioGA4Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
MixpanelSegmentGabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
SegmentMixpanelJB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4SegmentGoogle AdsElie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
MixpanelCustomer.ioGA4Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
MixpanelSegmentGabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
SegmentMixpanelJB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4SegmentGoogle AdsElie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
MixpanelCustomer.ioGA4Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
MixpanelSegmentGabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
SegmentMixpanel
AI-ready data at a fixed price
You know the price, the scope and the timeline before we start.
Fixed price, no hourly billing
One price for the whole project, agreed before we start. No timesheets and no surprise invoices.
Your quote in one business day
Tell us your stack and what you need. You get the price, scope and timeline by email, usually within one business day.
Live in weeks, not quarters
Most projects are live within a few weeks, and the timeline is written into your quote.
Free AI data audit
A 30-minute call on your stack: where it hurts, the quick wins, and what to fix first. No obligation.
Book a free AI data audit
Startups get 50% off
Same specialists and the same fixed-price quote, at half the price. Tell us your stack and the 50% discount is applied to your quote.
- Fixed price, no hourly billing
- Live in weeks, not quarters
- Specialists, not generalists
AI-ready data and MCP questions, answered
Something else on your mind? Email hello@martechdevs.com or book a free AI data audit.
What is an MCP server?
MCP (Model Context Protocol) is an open standard that lets AI tools like Claude and Codex connect to other software. An MCP server for marketing data sits in front of your warehouse or a tool like HubSpot and lets the AI query it, with the access you give it. Your team asks in plain English, and the AI answers from your own data.
Which tools can you connect over MCP?
Our MCP integration services start with Snowflake and BigQuery, since the warehouse holds the joined-up data. We also connect HubSpot, GA4, Mixpanel and Google Ads through their own MCP servers, for Claude, Codex or your own agents. Where a tool has no MCP server, or the official one doesn't cover what you need, our MCP server development fills the gap: we build one on the tool's API.
What is an internal MCP server?
A private MCP server over your own CRM, ad accounts, warehouse, product analytics and messaging tools, built for your ops teams. Access is set per team, so marketing ops, RevOps and GTM ops each work through Claude or their own agents, on real data. It doubles as an MCP server for your CRM, so pipeline and contact questions get answered in plain English.
How does an MCP server for RevOps work?
RevOps asks pipeline questions in plain English and gets answers from the CRM and the warehouse: where deals stand, whether leads route to the right owner, and the inputs for the forecast. A RevOps AI agent can run the same checks on a schedule and flag what needs a look.
What makes marketing data ready for AI?
Clean, modeled data with clear definitions. The AI can only be as accurate as the data it reads. We join your sources on shared IDs, model them into tables people understand, define each metric once in a semantic layer, and test for freshness and duplicates. Then an answer in Claude matches the number in your dashboard.
Do we need a data warehouse to talk to our data with AI?
Not for a single tool. MCP can connect Claude straight to HubSpot or GA4. Questions that span tools, like which campaigns bring customers who stay, need the data joined in one place. That is what an AI-ready data warehouse is for.
Is it safe to give AI access to our data?
You decide what the AI can see. MCP access runs on its own credentials, limited to the tables and tools you approve, and you can switch it off at any time. Your data stays in your own warehouse and accounts. The AI tool only sees the results of the queries it runs for each question.
Can the same data feed Google Ads and our CRM?
Yes. Audiences modeled in the warehouse, such as high-value customers or trial users likely to convert, sync to Google Ads, HubSpot, Braze and your other tools with reverse ETL. Your segmentation and targeting then run on the same data your team asks questions of.
Do we have to keep paying you to run it?
No retainer needed. It is a one-time setup at a fixed price, and you own your stack after handover: the warehouse, the MCP access, the docs and the martech AI agent. Ongoing support is there if you want it.
Why use an AI analytics agency instead of setting it up ourselves?
You can set it up with AI, but the result is only as good as what the AI guesses. We know what works from 74+ martech, data and growth stack implementations, so yours is right from day one instead of months of fixes. If the data isn't accurate, nobody trusts the answers, and money is lost either way.
What does the free AI data audit cover?
It's a 30-minute call on your data sources, your tools and the questions you want to ask: where it hurts, the quick wins, and what to build first, with a timeline and next steps. There's no obligation.
Get a fixed-price quote for AI-ready data
Three quick steps, under a minute. Price, scope and timeline by email, usually within one business day.
Startup?
AI-ready data guides from our blog
Read all guides- Martech AI
Snowflake MCP server: give marketing answers without handing over the warehouse
Snowflake's managed MCP server lets Claude, ChatGPT and Cursor query your account through tools you govern. The read-only setup, step by step.
Jafrin Akter Alo9 min read
- Data Warehouse
Marketing Metric Contracts: Make the Definition as Reliable as the Dashboard
Define reliable marketing metrics with clear grain, denominators, time windows, dimensions and tests. Includes an activation contract and worked examples.
Jafrin Akter Alo10 min read
- Martech AI
AI for RevOps: Useful Workflows, Reliable Data and a Pilot That Proves Value
Choose useful AI workflows for RevOps, compare native tools with custom agents, and test evidence quality, missed issues, forecast accuracy and real effort.
Jafrin Akter Alo12 min read
Book a Free Audit
A free audit of your stack and what it needs. No pitch.
Thirty minutes, and you leave with a plan
We look at what you have, what it is costing you and what to do about it first.
- 30 minutes
- Video call, link on booking
- No obligation
What we'll cover
- Your current stack and where it hurts
- Quick wins we can ship first
- An integration roadmap
- Timeline, scope and next steps
Calendar not loading? Open it in a new tab or email hello@martechdevs.com.