Airtable AI for Marketing teams

Airtable AI for Marketing teams

World-class marketing teams at companies like Autodesk, BuzzFeed, and thousands of others use Airtable for everything from managing content operations to executing on new product launches, and campaigns. Now, with Airtable AI, Marketing teams can create automation across their end-to-end workflows to transform business processes and uncover new speed.

Our end-to-end marketing workflow consists of four phases: Planning, Production, Distribution, and Measurement. In this article we will dive into how AI can fit into each of those phases. 

Planning

Prioritize more effectively by summarizing and categorizing planned deliverables. Streamline resourcing by automatically routing plans to cross-functional partners.

Whether marketing teams are manually reviewing voice of customer data or past campaign performance trends, AI can speed up this process and uncover hidden insights. Here are a few ways to leverage AI in the planning process:

• Summarize voice of the customer data extracting key insights. Translate the data into any language so it is easy to review. Then categorize the data by feedback area, customer type, or location to easily filter the data. Next, route feedback to relevant teammates or campaigns to infuse customer data in your analysis and decision making. 

• Collect requests and needs from your teammates and internal stakeholders. Then summarize those requests for clarity and consistency across your meetings and project communications. Then use AI to tag requests by area, team, audience, etc., so the right people can analyze the data and data is properly routed to the right project. 

By leveraging Airtable AI during the planning stage of a project, teams can increase team efficiency by adding AI workflows in the system where project data already exists.

Production

Supercharge your deliverables. Automatically transform your latest work into an email nurture, social campaign, event posters and more.

From providing status updates to generating assets for a campaign or product launch, AI can help your team produce faster and more consistently. Here are ways to leverage AI in the production process:

• Providing project or task status updates. AI will summarize progress on a set of tasks or even summarize comments in a record comment thread.

• Generating variations of assets for a campaign or product launch. Input a marketing brief or messaging for a launch then let AI draft variations of marketing materials needed for that project. Next, translate asset copy to any language on the internet for campaign localization.

• Automate tasks and approvals. Immediately match new tasks that get created to the right approver based on their focus areas. 

Let AI create the drafts of tedious variations of marketing assets, share project status updates with key stakeholders, and translate copy instantly, allowing your team to focus on the higher-level, strategic tasks. 

Distribution

Automate translations and personalization to reach the right audience, with the right message, without the manual lift.

AI can augment the distribution phase to help you get your project out faster, in more locations, and to more audiences. Here are ways to leverage AI in the distribution phase:

• Determine the best channels for campaign distribution. Let AI suggest channels that make most sense for the campaign at hand given past performance.

• Translate messaging into languages or for new audiences. Use AI to quickly translate copy for regional markets or based on personas, industries, or segments. 

• Expert assets into a centralized place for faster distribution. Quickly pass assets or copy to the right channel leveraging automations.

Airtable AI can supercharge the distribution phase by automating translations, centralizing assets, and providing insight based on historic performance. 

Measurement

Find hidden insights and make sounder decisions by summarizing feedback and sharing with key stakeholders in one workflow.

Measurement is one of the most time-consuming and difficult processes for marketers. Here are a few ways to use AI in the measurement phase:

• Measure campaign performance in a central place. Categorize and quickly tag data coming in from a recent campaign launch. Then summarize that data so you can pull out insight and share with key stakeholders. 

• Iterate on deliverables based on performance. Generate drafts of updated materials based on new messaging or analytics from campaign performance.

• Report out metrics and campaign summaries. Summarize campaign performance, draft stakeholder updates, and automatically send to the team. 

Adding AI into the measurement phase can help you extract hidden insights you might not have previously seen while improving project performance visibility for key stakeholders.

Try it now

There are endless possibilities for how to incorporate AI into your end-to-end marketing workflows. Instead of executing mundane, tedious tasks, leverage AI in the place you are already working to scale your marketing processes effortlessly.

Get started with Airtable AI.