Build Your Stack to Win $1000

Learn at Twilio Signal how the Stack Builder empowers you to visualize your marketing ecosystem, understand attribution drivers, and build a more effective and measurable strategy. Build your stack today for a chance to win $1,000!

Manage Your Entire Growth Stack

Track new tools

Track monthly costs

Assign tool owners

How to Build a MarTech Stack Using Our Visual Generator

Examples of MarTech stack diagrams from our generator tool. Feel free to use these as templates for your own stack, and give yourself a head start.

Plug in your existing stack of tools

Review the marketing technology you’re already using. Diagram your existing tools, think about their integrations and how your customer data and marketing infrastructure is working. Gain a visual overview by plugging it all into our builder. One of the benefits of this step is that it helps you audit your current stack.

Add new tools from your wishlist

MarTech stacks evolve and it’s critical that you keep yours in sync with your objectives. Whether there’s a tool that you’ve discussed in a meeting, or a tool you keep hearing about in your mastermind group, you can use our builder to better understand how it will fit into your stack.

Keep your MarTech budget in check

MarTech costs add up. Putting the cost of each tool into the builder will help you gain an overview, all in one place. Adding new tools and their costs, or removing tools if they now seem expensive, will help you hit your budget just right.

Facilitate ownership

Each tool should have an owner. They’ll be responsible for its taxonomy, documentation, integrations, troubleshooting. They’ll also be in charge of the data input and output. Marketing Operations is becoming a more and more common profession with responsibility for the stack, and you will want your other team members to be involved as well. Use the stack builder to assign specific individuals to specific tools.

Plan out implementation

Being able to visually see how your tools integrate will make it easier for you to plan out the implementation project. You’ll be able to prioritize with confidence and stay focused during the long term effort of building the best stack possible. Your integrations will be easier to understand, and you’ll have a clear vision of where you’re going. For a clear example of the benefits gained, check out our Real Thread case study.

Build with experts

Our clients benefit from our profound experience of building tailored MarTech stacks. The free tool above is something that we decided to bring it to the public, so we can contribute to a better use of marketing tools by everyone. To get more of our help with your MarTech needs, start by booking a consultation.

Leverage our deep expertise in building custom MarTech stacks. We’ve made our internal Stack Builder tool available to help everyone optimize their marketing. For personalized guidance with your MarTech strategy, book a consultation today.

Unlock Your AI Potential

Your AI’s success hinges on the quality of your data. At Twilio Signal, learn how to build a MarTech stack that overcomes the “garbage in, garbage out” problem.

Conquer Data Integration Challenges

66% of marketers say data integration is their biggest challenge. The Stack Builder helps you connect your tools and unify your customer data, a crucial step for effective AI and marketing. 

Build Trustworthy Customer Profiles

Fragmented data leads to unreliable AI and poor personalization. Create unified customer profiles with our tool to ensure accurate, trustworthy data for all your marketing efforts.

Avoid AI Pitfalls

Don’t let bad data undermine your AI investments. As Dan McGaw discusses in his talk, flawed data can cause AI to misfire, delivering incorrect personalization and irrelevant messaging.

Build Your Stack to Win

Use the Stack Builder at Twilio Signal for a chance to win $1000 and learn how to make your AI work.

Free Tech Stack Audit

Discover hidden opportunities and potential pitfalls. Sign up for a free tech stack audit with Dan McGaw, and learn how to avoid “killing your AI with bad customer data.”

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