How to Localize AI-Generated Emails in Hubspot

Using Hubspot to localize AI-generated emails helps marketing teams turn quick, generic drafts into culturally relevant, high-converting messages for audiences around the world.

Generative AI is excellent at producing fast email drafts, but those drafts are often written in a neutral, global English that ignores culture, language nuance, and local expectations. This can lead to emails that feel off-tone, confusing, or even insensitive in different regions.

This how-to article explains a practical workflow based on HubSpot research for transforming AI output into localized, human-centered emails your subscribers actually want to read.

Why Localizing AI Emails in Hubspot Matters

Marketers are sending more AI-generated content than ever, but customers increasingly expect brands to speak their language and understand their culture.

When you localize AI emails correctly, you:

• Increase open and click-through rates in each region
• Reduce unsubscribes caused by irrelevant tone or references
• Respect cultural norms, holidays, and workflows
• Improve trust and long-term brand affinity

HubSpot’s research shows that people notice when content feels like it is written “for someone else.” Localization fixes that by adapting the same message for different markets.

Core Principles for Localizing AI Emails with Hubspot

Before diving into a concrete workflow, anchor your process in a few core principles that work well alongside tools like Hubspot and other marketing automation systems.

Start with Human Strategy, Not AI Prompts

AI should not decide your email strategy. Human marketers should define:

• The goal of the email (e.g., demo bookings, content downloads, product announcements)
• The primary audience segment and region
• The core value proposition
• Key constraints such as brand voice, legal requirements, and offer limits

Only after this strategy is clear should you prompt your AI tool to generate a first draft you will later adapt and localize.

Separate Translation from Localization

Translation converts words from one language to another. Localization adapts the message, tone, references, and structure to match a local context.

For example, an email announcing a sale may need:

• Different discount framing for price-sensitive regions
• Alternate examples or case studies from local industries
• Different calls to action aligned with regional buyer behavior

This distinction is essential when working with AI-generated drafts inside a platform like Hubspot, because you must go beyond literal translation to meet local expectations.

Step-by-Step Workflow to Localize AI Emails in Hubspot

The following workflow is adapted from the methodology described in the original HubSpot article on localizing AI-generated emails.

Step 1: Generate a Neutral, Global Draft

Begin by asking your AI tool to produce a global English draft. Focus on clarity, structure, and logical flow rather than cultural nuance at this stage.

Your prompt should include:

• Objective of the email
• Target persona
• Product or offer details
• Any required sections, such as introduction, body, social proof, and CTA

Review this first draft for accuracy and completeness. Make edits until the message is logically sound and on-brand at a high level.

Step 2: Identify Markets and Segments in Hubspot

Next, decide which regions and language variants you need. Common examples include:

• U.S. English, U.K. English, and Australian English
• Latin American Spanish vs. European Spanish
• French for France vs. French for Canada

In your contact database or CRM, define segments for each market so you can later send targeted versions. Whether you use Hubspot itself or another CRM, accurate segmentation is the foundation for sending localized variants.

Step 3: Localize Structure, Not Just Words

AI-generated emails often follow a single structure, but different markets may respond better to different layouts. When localizing, consider:

• Subject line length and style preferences
• Salutation formality (first name vs. title plus last name)
• Storytelling versus direct offer presentation
• Placement of CTAs (single vs. multiple CTAs)

For example, some cultures prefer a direct and concise approach, while others respond better to longer explanations or more context.

Step 4: Adjust Tone and Formality

Use AI as a helper to shift tone, then refine manually. For each localized version, specify:

• Formality level (formal, semi-formal, casual)
• Preferred pronouns or collective language (e.g., “we” vs. “the company”)
• Level of humor, urgency, and idioms

After AI produces a localized draft, a native speaker or regional specialist should review it. This ensures the email complies with cultural norms and avoids awkward phrasing.

Step 5: Replace Global Examples with Local Proof

Localized emails perform better when they highlight local success stories. Update:

• Case studies to feature companies or brands from the same country or region
• Testimonials using local names, job titles, and industries
• Metrics that relate to local regulations or market pressures

Even if the product is the same everywhere, region-specific proof makes the message more believable and relevant.

Step 6: Adapt Offers, Pricing, and Legal Elements

Promotions and legal requirements frequently differ by geography. Before sending localized emails, verify:

• Currency, taxes, and shipping details are accurate
• Any regulatory disclaimers or consent language meet local laws
• Holiday-based campaigns align with local calendars, not just your headquarters

If you use Hubspot or a similar platform to manage offers, maintain a table of regional variations so AI prompts can refer to the correct local details.

Step 7: Run Local QA Before You Hit Send

Quality assurance is critical. Build a checklist for each region that includes:

• Language accuracy checked by a native or fluent speaker
• Working links and correct landing pages per locale
• Accurate merge fields for names and company data
• Correct time zones for send times

Whenever possible, send test emails to internal teams in each region to gather feedback and catch issues early.

Using Hubspot Data to Improve Localized AI Emails

Localization is an iterative process. The more data you collect in Hubspot or your automation platform, the better your AI prompts and local strategies will become.

Measure Performance by Region

Track standard metrics for each localized version, such as:

• Open rate by market
• Click-through rate by language variant
• Conversion rate on localized landing pages
• Unsubscribe and spam complaint rates

Use these data points to refine subject lines, CTAs, and content length for each region.

Feed Results Back into Your AI Prompts

When a localized version performs especially well, analyze what made it successful:

• Was the tone more formal or casual?
• Were local references stronger?
• Did the structure differ from the global template?

Then, update your future prompts to reflect what works in each market.

Best Practices and Common Pitfalls in Hubspot-Driven Localization

Whether or not you implement your campaigns in Hubspot, the following practices will improve your localized AI-generated emails.

Best Practices

• Always start from a strong, global master draft.
• Involve native speakers wherever possible for review.
• Document tone and style guidelines for each region.
• Keep a shared library of localized snippets, CTAs, and disclaimers.

Common Pitfalls

• Relying on direct translation without local adaptation.
• Ignoring regional holidays, time zones, and cultural events.
• Using humor or idioms that do not translate well.
• Sending all markets the same offer regardless of regulations or pricing norms.

Further Resources on Hubspot and Localization

To dive deeper into the original research and examples behind this workflow, read the full source article on the HubSpot blog at how to localize AI-generated emails.

If you want personalized help refining your marketing operations, AI workflows, and localization strategy beyond what Hubspot offers out of the box, you can also consult specialists at Consultevo.

By combining AI-generated drafts, thoughtful localization, and the segmentation and analytics capabilities of platforms like Hubspot, you can create email campaigns that respect cultural nuance, drive engagement, and scale globally without sacrificing quality.

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