Generic emails get ignored. Revian's AI personalization makes every email feel hand-crafted by automatically weaving in relevant details about each recipient and their company. The result is outreach that gets opened, read, and replied to.
What data AI uses for personalization
When AI personalization is enabled, Revian analyzes multiple data sources to find relevant talking points for each contact:
Data sources
- Company website - Mission, products, recent blog posts
- LinkedIn profile - Role, career history, shared connections
- News and press - Recent articles, press releases, media mentions
- Funding data - Investment rounds, investors, growth signals
- Job postings - Hiring patterns that indicate priorities
- Your CRM data - Past interactions, notes, enriched contact data
The AI synthesizes these sources to find the most relevant and timely angle for your outreach. It prioritizes recent events and information that connects to your value proposition.
Company news and funding announcements
Timing your outreach around company events dramatically increases engagement. Revian automatically detects:
- Funding rounds - New investment means budget for new tools
- Leadership changes - New executives often bring new initiatives
- Product launches - Signals growth and potential pain points
- Acquisitions - Consolidation creates integration needs
- Expansions - New offices or markets mean scaling challenges
Example personalization
Congrats on the Series B! Growing from 50 to 200 people this year is exciting, but I imagine your sales team is feeling the pressure to scale pipeline alongside headcount...
This opening references their specific funding round and a common challenge that accompanies rapid growth, making it immediately relevant.
Enabling AI personalization per step
You control exactly where AI personalization applies. For each email step in your sequence:
- Open the step editor
- Look for the AI Personalization toggle
- Enable or disable it for that specific step
Many teams enable AI personalization on the first email to make a strong first impression, then use more templated follow-ups. Others personalize every touch. Test what works for your audience.
When enabled, you can also specify:
- Personalization style - Casual, professional, or match your template tone
- Focus areas - Prioritize company news, role, industry, or let AI decide
- Length - One sentence, a paragraph, or full email rewrite
How AI adapts content to recipient context
The AI does more than just insert facts. It understands context and adapts your message accordingly:
Context-aware adaptations
- Adjusts language formality based on industry and seniority
- References shared experiences (same alma mater, city, or past company)
- Connects your product benefits to their specific role challenges
- Acknowledges company stage (startup vs enterprise) appropriately
- Avoids outdated or irrelevant information
For example, an email to a VP of Sales at a Series A startup reads differently than one to a Sales Director at a Fortune 500. Same sequence, same core message, but tailored framing.
Tip: Review a sample of AI-personalized emails before launching a new sequence. You can preview what the AI generates for specific contacts to ensure the tone and content match your expectations.
Best practices
Get the most out of AI personalization with these approaches:
- Write a strong template first - AI personalization enhances good copy, it does not fix bad copy
- Leave room for personalization - Use placeholders like [personalized opener] to guide where AI adds content
- Keep your value prop clear - AI will work around it, not rewrite it
- Monitor and iterate - Check which personalization approaches drive the best reply rates
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