martechdevs has been acquired by Growth and Analytics Partners LLC

Blazing fast implementation, backed by 74+ martech, data and growth stacks*

BigQuery implementation services for marketing and product data you own

We set up BigQuery with datasets, access and cost controls, switch on the GA4 and Google Ads exports, load your CRM, billing and product data, and model it with dbt, so reports and AI agents query one source of truth in your own Google Cloud.

Comparing BigQuery and Snowflake, or adding a CDP? See data warehouse and CDP.

Tools we implement

  • BigQuery
  • GA4
  • Google Ads
  • Fivetran
  • dbt
  • Looker Studio
  • HubSpot
  • Gemini

* 74+ martech, data and growth stack implementations, delivered through martechdevs and Growth and Analytics Partners LLC.

Trusted by fast-growing teams

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Sevron logo
Submagic logo
Intellivy logo
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Sedai logo
Geonadir logo
Evaboot logo
Crosscourt logo
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Foreplay logo
Steno logo
Sevron logo
Submagic logo
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Sedai logo
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Mochahost logo
Stablepoint logo
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World Host Group logo
a2hosting logo
doteasy logo
fixed.net logo
Liveeasy logo
MelbourneIT logo
Mochahost logo
Stablepoint logo
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What our BigQuery implementation includes

BigQuery consultants who set up the project, bring your data together and check every number against its source, so the warehouse becomes the place your teams trust.

  • Project, datasets and access

    A Google Cloud project, datasets and IAM roles with least-privilege access, and a service account for every tool.

  • Cost controls

    Partitioned and clustered tables, query limits and budget alerts, and the right choice between on-demand and capacity pricing. See BigQuery pricing.

  • GA4 and Google Ads exports

    The GA4 BigQuery export and Google Ads transfers switched on, with sessions and attribution modelled so totals reconcile.

  • Pipelines from your other tools

    CRM, billing, support and product data loaded with Fivetran, Airbyte or the BigQuery Data Transfer Service.

  • dbt or Dataform models

    Raw tables turned into clean customer, campaign and revenue models, tested and documented. See dbt implementation.

  • Reports and activation

    Data Studio reports on the models, and audiences sent back to Google Ads, Meta and your CRM.

Ask BigQuery anything, with answers you can check

With BigQuery connected to Claude over MCP, your team asks about campaigns, revenue and retention in plain English, AI writes the SQL against your modelled tables, and agents watch freshness and query cost.

  • Which Google Ads campaigns brought customers with the highest 90-day revenue this year?. Queries BigQuery over MCP.
  • Why do GA4 sessions in BigQuery differ from the GA4 interface for last month?. Queries the GA4 export in BigQuery.
  • Which scheduled queries scanned the most data last week?. Reads BigQuery job history.
  • BigQuery with MCP

    BigQuery connected to Claude, ChatGPT or Claude Code through Google's MCP options, under a read-only service account. See the BigQuery MCP server.

  • Definitions AI can read

    Metrics and joins defined once in dbt, so answers use your definitions instead of guesses. See semantic layers for AI.

  • Gemini in BigQuery where it helps

    Gemini features and BigQuery AI functions set up where they earn their cost. See BigQuery AI.

  • Freshness and cost alerts

    Agents that flag a stale table or an expensive new query the same day, with the job behind it.

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

Who our BigQuery implementation is for

Most teams come to us at one of four points, and the scope is written for yours before any work starts.

Not the right fit for large data platform programs with streaming at scale, data science teams or many business units. We focus on marketing, product and revenue data for growing companies.

  • GA4 users who need raw data

    You hit GA4 thresholds and limits and want event-level data you own. See GA4 data thresholds.

  • A first warehouse on Google Cloud

    You already run on Google and want one place for marketing, product and revenue data. See Snowflake vs BigQuery.

  • A bill that surprised you

    Queries that scan too much and tables nobody partitioned. We fix the cost and document it. See BigQuery implementation mistakes.

  • Data for AI agents

    Claude or your own agents answering from BigQuery, with access you can audit. See AI-ready data.

BigQuery with the rest of your stack

BigQuery sits in the middle of the stack. We connect what flows in, what models it and what flows out, so every step can be checked.

What's not included

So the fixed price covers exactly what we build, and nothing comes as a surprise later.

  • Google Cloud costs

    BigQuery queries and storage are billed to your Google Cloud account. We set budgets and limits so the bill matches the plan.

  • Connector and BI licences

    Fivetran, Hightouch and other tools are billed by their vendors. We help you pick plans that fit your volume.

  • Data science projects

    We build the data foundation and the reports on it. Forecasting or machine learning projects are scoped separately.

Sound familiar?

  • GA4 reports hit thresholds and sampling.

    And the raw data was never exported.

  • One dashboard scans terabytes every hour.

    Because nobody partitioned the tables.

  • Marketing and finance count revenue differently.

    Ad platforms and billing never meet.

  • Nobody knows who can see what.

    Personal accounts with owner rights.

We set BigQuery up with access and cost controls, bring GA4, ads, CRM and billing data together, model it into tables everyone agrees on, and check every number against its source.

BigQuery implementation, step by step

  1. 01

    Free call or audit

    A free call on your data and reporting, or the $99 audit for a written review of your exports, pipelines and costs.

  2. 02

    Pick a package

    Compare the fixed price packages, then get the detailed scope by email within one business day.

  3. 03

    Design

    Sources, datasets, access, models and the first reports written up for your sign-off before anything is built.

  4. 04

    Build

    Project, exports, pipelines and models set up in your Google Cloud, in a development dataset first.

  5. 05

    Test the numbers

    Row counts, freshness and key metrics checked against each source, so totals reconcile before any report ships.

  6. 06

    Hand over

    Docs, a data dictionary and a walkthrough, plus your martech AI agent and support after launch.

Don't take our word for it. Hear it from the founders who handed us their stack.

🔇 Click for sound

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.”

GA4GA4
SegmentSegment
Google AdsGoogle Ads
🔇 Click for sound

Elie

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.”

MixpanelMixpanel
Customer.ioCustomer.io
GA4GA4
🔇 Click for sound

Arman 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.”

MixpanelMixpanel
SegmentSegment
🔇 Click for sound

Gabriel

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.”

SegmentSegment
MixpanelMixpanel
🔇 Click for sound

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.”

GA4GA4
SegmentSegment
Google AdsGoogle Ads
🔇 Click for sound

Elie

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.”

MixpanelMixpanel
Customer.ioCustomer.io
GA4GA4
🔇 Click for sound

Arman 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.”

MixpanelMixpanel
SegmentSegment
🔇 Click for sound

Gabriel

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.”

SegmentSegment
MixpanelMixpanel
🔇 Click for sound

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.”

GA4GA4
SegmentSegment
Google AdsGoogle Ads
🔇 Click for sound

Elie

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.”

MixpanelMixpanel
Customer.ioCustomer.io
GA4GA4
🔇 Click for sound

Arman 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.”

MixpanelMixpanel
SegmentSegment
🔇 Click for sound

Gabriel

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.”

SegmentSegment
MixpanelMixpanel
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BigQuery implementation at a fixed price

A BigQuery setup with the GA4 export, pipelines from your tools and first reports comes in Starter: $4,800 (25% off $6,400), live in 4 weeks, or 2 weeks on super fast. dbt models, a CDP and reverse ETL come in Growth: $12,150 (25% off $16,200), live in 12 weeks. Not sure where to start? The $99 audit ends with a fixed price proposal.

Eligible startups get 40% off instead of 25%. Starter comes to $3,840 and Growth to $9,720.

Martech audit

Before you commit to a plan

$99one-off

We review your setup and walk you through the findings on a one-hour specialist call.

  • The report comes within a day
  • A proposal at a fixed price
  • Tracking and tags reviewGA4, Google Tag Manager etc.
  • Ad conversions reviewGoogle Ads, Meta, LinkedIn etc.
  • CRM and lifecycle reviewHubSpot, Salesforce, Braze etc.
  • Warehouse and reporting reviewSnowflake, BigQuery, dbt etc.
  • A written assessment of where you stand
  • A one-hour call with a martech specialist
  • What to fix first, in order
  • A proposal for the next step, at a fixed price

Starter

Teams of up to about 20 people, under $1M ARR

$4,800one-off

$6,40025% off

Get started with tracking, analytics and a proper data setup.

  • Live in 4 weeks
  • 30 days of support, up to 10 hours
  • One tracking plan, named the same in every tool
  • Web analytics and tagsGA4, Google Tag Manager, Consent Mode etc.
  • Ad conversion trackingGoogle Ads, Meta, LinkedIn, TikTok etc.
  • Product analyticsMixpanel, Amplitude, PostHog etc.
  • Leads and signups in your CRMHubSpot, Salesforce, Attio etc.
  • Data pipeline into a warehouseFivetran, Airbyte, Snowflake, BigQuery etc.
  • First dashboardsLooker Studio, Metabase etc.
  • Your martech AI agentClaude Code skills for your stack
  • Docs and a handover call

Growth

Companies with $1M to $10M ARR

$12,150one-off

$16,20025% off

The data setup a growing team runs its marketing and reporting on.

  • Live in 12 weeks
  • 90 days of support, up to 30 hours
  • Everything in Starter, plus
  • Server-side trackingserver-side GTM, Meta CAPI, Enhanced Conversions etc.
  • CRM and marketing automationHubSpot, Salesforce, Intercom etc.
  • Lifecycle messagingBraze, Customer.io, Klaviyo, CleverTap etc.
  • Support automationIntercom, Fin, Zendesk etc.
  • Warehouse models and CDPdbt, Segment, RudderStack etc.
  • Dashboards and attributionLooker Studio, Metabase, Tableau etc.
  • Audiences synced to ads and CRMHightouch, Census etc.
  • Mobile attributionAppsFlyer, Adjust etc.
  • Outbound and enrichmentClay, Apollo, ZoomInfo etc.
  • AI on your data over MCPClaude, ChatGPT, Codex etc.

Custom

Over $10M ARR, several markets or an unusual stack

Let's talk

A plan built around your stack, your team and your deadline.

  • Timeline set by the scope
  • A fixed price once the scope is agreed
  • Everything in Growth, plus
  • Tool migrationsSalesforce to HubSpot, Braze to Customer.io etc.
  • Several brands, markets or apps
  • Custom pipelines and API integrations
  • Custom AI agents and internal MCP servers
  • A dedicated team and a named lead
  • Support and a retainer to suit

Prices in USD for a typical setup. We use the tools that fit your stack, and a bigger or more complex setup can change the price. We agree any change with you before we start.

Questions about pricing? See the pricing FAQ

BigQuery implementation questions, answered

Something else on your mind? Email hello@martechdevs.com or book a free call.

How much does a BigQuery implementation cost?

Starter is $4,800 (25% off $6,400), live in 4 weeks, and Growth is $12,150 (25% off $16,200), live in 12 weeks, at a fixed price with no hourly billing. Eligible startups get 40% off the list price instead. More brands, markets or a migration from another tool make it a custom plan, priced before work starts. BigQuery usage is billed to your Google Cloud account, and connector licences by their vendors. See the fixed price packages.

How much does BigQuery cost?

BigQuery charges for the data your queries scan, or for reserved capacity, plus storage, with a free monthly allowance. Small teams often pay little, as long as tables are partitioned and dashboards do not rescan everything. See BigQuery pricing.

Is the GA4 BigQuery export free?

The daily export is free for standard GA4 properties, up to a daily event limit. Streaming export, storage and queries are billed by BigQuery. See the GA4 BigQuery export.

BigQuery or Snowflake?

Both work well for a growing company. BigQuery fits teams already on Google Cloud and GA4, with nothing to size. Snowflake fits teams that want compute set per workload and easy data sharing. See Snowflake vs BigQuery.

Do we need dbt with BigQuery?

For anything beyond raw exports, yes. dbt, or Google's own Dataform, turns raw tables into tested, documented models under version control, so a metric means the same thing in every report.

Can you migrate us to BigQuery?

Yes, as a custom plan. We move tables, pipelines and reports from Snowflake, Redshift or Postgres, run old and new side by side, and check counts and key metrics before switching over.

How long does a BigQuery implementation take?

Starter goes live in 4 weeks and Growth in 12, or in half the time on super fast. A migration from another warehouse is a custom plan with its own timeline.

Who owns the Google Cloud project?

You do. The project, datasets and models live in your Google Cloud and your repository. We work through roles you can revoke at any time.

Can we use BigQuery data with Claude or ChatGPT?

Yes. We connect BigQuery over MCP under a read-only service account, with your dbt models and metric definitions as context, so answers come from tables you trust. See AI-ready data.

What happens after launch?

Starter includes 30 days of support after handover, up to 10 hours, and Growth 90 days, up to 30 hours. It covers fixes, questions, new sources and small model changes. After that your team runs it with the docs and your martech AI agent, or keeps us on a retainer from $1,980 a month.

Last updated: .

Fixed price packages for your BigQuery setup

A $99 audit or a fixed price package from $4,800, with no hourly billing.

Startup?

BigQuery guides from our blog

Read all guides

Book a Free Call

Thirty minutes on your stack and what it needs. Free, and 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.