AI Features
Oblic integrates advanced AI capabilities using LangChain and Google Generative AI to supercharge your marketing efforts. Generate content, optimize campaigns, and get intelligent recommendations.
Content Generation
Email Copy
AI-powered email writing:
Subject Lines:
- Generate multiple variations
- Optimize for open rates
- A/B test suggestions
- Personalization tips
Example prompts:
Generate subject lines for a summer sale
Create urgency-focused subject lines
Write friendly welcome email subjects
Email Body:
- Complete email drafts
- Intro paragraphs
- Call-to-action text
- Product descriptions
Tone Adjustments:
- Formal ↔ Casual
- Serious ↔ Playful
- Brief ↔ Detailed
- Technical ↔ Simple
Message Variations
Create multiple versions for testing:
- Write or paste your content
- Click Generate Variations
- Choose tone and length
- Review AI suggestions
- Use in campaigns or A/B tests
Translation
Translate content to multiple languages:
- 12 supported languages
- Context-aware translation
- Preserve personalization variables
- Maintain formatting
Campaign Optimization
Smart Send Time
AI predicts optimal send times:
- Per-contact analysis: Individual preferences
- Historical data: Past engagement patterns
- Time zone aware: Local time optimization
- Channel-specific: Different for email vs WhatsApp
Subject Line Scoring
Get AI feedback before sending:
Scored on:
- Length (ideal: 40-60 characters)
- Emoji usage (strategic placement)
- Personalization (variables used)
- Urgency indicators (limited time offers)
- Spam trigger words (avoid flagged terms)
- Call to action (clear next step)
Score breakdown:
- 90-100: Excellent
- 70-89: Good
- 50-69: Needs improvement
- Less than 50: Major issues
Content Recommendations
AI analyzes your email:
Readability:
- Sentence length
- Paragraph structure
- Reading level
- Clarity score
Engagement:
- CTA placement
- Link count
- Image usage
- Content length
Deliverability:
- Spam score
- HTML quality
- Text-to-image ratio
- Link reputation
Smart Segmentation
AI-powered audience targeting:
Predictive Segments
Automatically identify:
- Likely to Convert: High intent contacts
- Churn Risk: At risk of unsubscribing
- High Value: Most engaged contacts
- Re-engagement Candidates: Inactive but recoverable
Behavioral Patterns
AI detects:
- Purchase patterns
- Engagement trends
- Content preferences
- Optimal contact frequency
Look-alike Audiences
Find similar contacts:
- Select high-performing segment
- AI analyzes characteristics
- Identifies similar contacts
- Creates new segment
Workflow Intelligence
Auto-optimization
AI improves workflows:
- Wait Times: Optimal delays between messages
- Path Selection: Best route for each contact
- Exit Conditions: When to stop nurturing
- Resource Allocation: Priority contacts
Trigger Suggestions
AI recommends:
- Best triggers for goals
- Optimal conditions
- Alternative workflows
- Performance predictions
Search Intelligence
Powered by Meilisearch + AI:
Natural Language Search
Search with questions:
"Show me contacts who opened but didn't click"
"Find high-value customers from last month"
"Which campaigns performed best?"
Smart Suggestions
As you type:
- Auto-complete queries
- Related searches
- Filter recommendations
- Typo correction
Chatbot & Help
AI Assistant
Built-in help system:
- Context-aware: Knows where you are
- Step-by-step: Guided walkthroughs
- Learn as you go: Interactive tutorials
- Search docs: Instant documentation
Ask questions like:
"How do I create a workflow?"
"What's the best email length?"
"Show me campaign templates"
Data Analysis
Anomaly Detection
AI alerts you to:
- Unusual bounce rates
- Sudden engagement drops
- Spike in unsubscribes
- Performance anomalies
Trend Analysis
Identify patterns:
- Seasonal trends
- Day-of-week patterns
- Time-of-day preferences
- Channel preferences
Predictive Analytics
Forecast outcomes:
- Campaign Performance: Expected results
- Audience Growth: Subscriber projections
- Revenue Forecast: Sales predictions
- Churn Prediction: Risk assessment
A/B Test Intelligence
Automatic Winner Selection
AI determines:
- Statistical significance
- Confidence levels
- Winner declaration timing
- Sample size recommendations
Test Suggestions
AI recommends:
- What to test next
- Test duration
- Sample split ratios
- Success metrics
Content Personalization
Dynamic Content
AI personalizes in real-time:
- Product Recommendations: Based on behavior
- Content Blocks: Relevant sections
- Image Selection: Contextual images
- Offer Personalization: Custom deals
Behavioral Triggers
AI detects and acts on:
- Cart abandonment
- Browse patterns
- Purchase history
- Engagement level
Privacy & Ethics
Data Usage
AI features respect privacy:
- Opt-out Available: Disable AI analysis
- Data Anonymization: Personal info protected
- Transparent Processing: Clear AI usage
- GDPR Compliant: Privacy by design
AI Transparency
We're clear about:
- When AI is used
- How decisions are made
- Data used for training
- Human override options
Limitations
What AI Can't Do
- Guarantee Results: AI suggests, doesn't guarantee
- Replace Strategy: Human judgment still essential
- Understand Context: May miss nuances
- Create From Scratch: Works best with guidance
Best Practices
Always review and edit AI-generated content before using.
Give AI clear instructions and context for better results.
A/B test AI suggestions against your intuition.
Ensure AI content matches your brand guidelines.
Future Features
Coming soon:
- Image Generation: AI-created visuals
- Video Transcription: Auto-captions
- Voice Content: Text-to-speech
- Advanced Predictions: Lifetime value forecasting