Get actionable insights from your email marketing data by asking questions in plain English
Ask AI gives you expert-level insights about your email performance through natural language conversations. Ask questions in plain English and get data-driven recommendations from an AI that combines email marketing expertise with advanced analytics.
Brew already uses these insights and performance data to automatically optimize the emails and automations it creates for you. The Ask AI feature simply gives you visibility into this intelligence, helping you better understand the reasoning behind Brew’s recommendations and how your email marketing is performing.
Ask questions about your performance in plain English—no need to build complex queries
See essential email performance metrics at a glance with opens, clicks, and more
Use @ to reference specific emails, subscription groups, or audiences in your questions
Access the Ask AI panel
Click on “Ask AI” in the side navigation panel to open the Ask AI interface. You’ll find it alongside other main navigation options like Dashboard, Campaigns, and Automations.
You can quickly open Ask AI from anywhere in Brew by using the keyboard shortcut Command+A (Mac) or Ctrl+A (Windows/Linux).
The interface displays:
You can open the Ask AI panel from anywhere within the Brew app without losing your current work. This means you can quickly check performance metrics or get insights while creating campaigns, managing automations, or working with your audience—no need to navigate away from what you’re doing or open a new tab.
Ask questions about your performance
In the chat interface, ask questions in plain English about your email performance. Here are some effective questions organized by category:
“What factors are most strongly correlated with email opens in my campaigns?”
“Which days and times have shown the highest engagement for my audience?”
“What’s the relationship between subject line length and open rates in my emails?”
“Which specific email elements get the most clicks across my campaigns?”
“Which specific content elements are driving the most unsubscribes?”
“What factors are most strongly correlated with email opens in my campaigns?”
“Which days and times have shown the highest engagement for my audience?”
“What’s the relationship between subject line length and open rates in my emails?”
“Which specific email elements get the most clicks across my campaigns?”
“Which specific content elements are driving the most unsubscribes?”
“Which specific elements made my top-performing newsletter so successful?”
“What subject line patterns generate the highest opens for my promotional emails?”
“How does personalization in the first paragraph impact my click-through rates?”
“What’s the optimal content length for my audience based on engagement data?”
“Which call-to-action style has performed best in my product launch emails?”
“At which specific step do people most commonly drop off in my @Onboarding Sequence?”
“What content elements in @Welcome Series email #3 are driving the most conversions?”
“How does varying the delay between emails affect completion rates in my @Nurture Sequence?”
“Which email in my @Re-engagement Campaign has the highest recovery rate and why?”
“What’s the optimal number of emails in my @Product Adoption Flow based on conversion data?”
“Which behavioral segments show the highest engagement per email?”
“How does engagement differ between different subscription groups in my audience?”
“What content themes generate the most clicks from my enterprise segment?”
“How do open rates compare between subscribers who joined in the last 30 days vs. older subscribers?”
“Which audience segment has the highest unsubscribe rate and what content triggers it?”
Use @ to reference specific emails, subscription groups, or audiences in your questions. For example: “Why did @Welcome Series perform better than @Newsletter?” or “Which emails perform best with my @High-Value Customers audience?”
Example of Ask AI’s expert response:
Question: “Why did my click rates drop in my last campaign?”
Response: “Your click rate dropped from 3.2% to 1.8% in your last campaign primarily due to three factors:
Try returning to your Tuesday morning send time and placing your primary CTA in the first section of your email for your next campaign.”
Explore key metrics through card interactions
You can also click directly on any metric card to ask specific questions about that metric:
Clicking on a metric card is a quick way to analyze a specific performance indicator without typing the metric name in your question. For example, clicking the “Bounce Rate” card and asking “Why did this increase last week?” is the same as typing “Why did my bounce rate increase last week?”
The Ask AI interface displays essential performance metrics in cards on the right side of the screen. These metrics give you a quick overview of your email marketing performance at a glance.
Emails Sent
The total number of emails delivered to recipients’ inboxes.
This metric helps you track your sending volume and consistency, which impacts your sender reputation and deliverability.
Open Rate
The percentage of delivered emails that were opened by recipients.
Percentage of delivered emails that recipients opened. Influenced by subject lines, preview text, sender reputation, and recipients’ previous experience with your brand.
Industry average:
Understand how open rates are tracked and their limitations
Click Rate
The percentage of delivered emails that resulted in recipients clicking a link.
Click rate reflects how engaging and relevant your email content is, and how compelling your calls-to-action are. Strong CTAs with clear value propositions, appealing design, and strategic placement significantly impact your click rates.
Industry average: 2-5%
Understand how clicks are tracked and why they matter
Bounce Rate
The percentage of emails that could not be delivered.
Bounce rate primarily reflects the quality and hygiene of your contact list. There are two types of bounces:
Target: Keep your bounce rate under 2%
Monitor this metric in the card on the right. If your bounce rate exceeds 2%, Brew may suspend your account to protect deliverability. Regular audience hygiene helps maintain healthy bounce rates.
Understand different types of bounces and how to minimize them
Unsubscribe Rate
The percentage of recipients who opted out of future emails.
Percentage of recipients who opt out of receiving future emails. High unsubscribe rates may indicate that your content isn’t meeting audience expectations or providing sufficient value. Using subscription groups and a customized Preference Center can help reduce unsubscribes by giving contacts more control over what they receive.
Industry average: Below 0.5%
Understand how unsubscribes are tracked and managed
Complaint Rate
The percentage of delivered emails that recipients marked as “Spam” or “Junk”.
High complaint rates severely damage sender reputation and deliverability.
Target: Keep below 0.1%
Monitor this metric in the card on the right. If your complaint rate exceeds 0.08%, Brew may suspend your account to protect deliverability. Sending relevant content to engaged contacts helps maintain low complaint rates.
Understand how complaints are tracked and their impact on deliverability
You can select different time periods for the key metrics cards using the dropdown in the top-right corner:
The time period selection only affects the metrics displayed in the cards. When asking questions in the chat interface, you can specify any time period in your question (e.g., “What was my open rate in March?” or “Compare click rates between Q1 and Q2”).
Remember that Brew automatically applies these advanced analysis techniques when creating and optimizing your emails and automations. Using Ask AI helps you understand the “why” behind Brew’s decisions and gives you deeper visibility into your audience’s behavior and preferences.
Comparing multiple emails or campaigns
Use @ to reference specific emails, groups, or audiences in your questions:
“Compare open rates between @Welcome Series and @Newsletter”
“Why did @Product Launch perform better than @Feature Update?”
“Show me click rates for all @Promotional emails”
“Which content performs best with my @Enterprise Customers audience?”
Brew will analyze the differences and explain potential factors influencing performance.
Analyzing time-based patterns
Uncover timing insights with questions like:
“What time of day do my emails get the most opens?”
“Is there a difference in engagement between emails sent on weekdays vs. weekends?”
“What’s the optimal sending frequency for my audience?”
These insights help you schedule future emails for maximum engagement.
Audience segment analysis
Compare how different audience segments respond to your emails:
“How do open rates differ between my customer and prospect segments?”
“Which audience segment has the highest click-through rate?”
“What content resonates most with my high-value customers?”
Use these insights to tailor future content to specific audience needs.
Content performance analysis
Analyze what content drives engagement:
“Do emails with video thumbnails get higher click rates than those without?”
“What subject line styles perform best for my audience?”
“Do longer or shorter emails get better engagement?”
These insights help you optimize your content strategy.
Our team is ready to support you at every step of your journey with Brew. Choose the option that works best for you:
Type in the “Ask any question” search bar at the top left to instantly find relevant documentation pages.
Click the sparkle ✨ icon next to the “Ask any question” search bar in the top left to chat with our AI assistant that’s been trained on our entire documentation.
Click “Open in ChatGPT” at the top right of any page to analyze documentation with ChatGPT or Claude for deeper insights.
Type in the “Ask any question” search bar at the top left to instantly find relevant documentation pages.
Click the sparkle ✨ icon next to the “Ask any question” search bar in the top left to chat with our AI assistant that’s been trained on our entire documentation.
Click “Open in ChatGPT” at the top right of any page to analyze documentation with ChatGPT or Claude for deeper insights.
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