Understanding Your Analytics
Analytics help you measure the impact of your marketing efforts. Auxia Console provides two levels of analytics: Goal Analytics (goal-level) and Journey Analytics (journey-level).
Analytics Overview
Auxia Console analytics answer three key questions:
- Are we achieving our goals? (Goal Analytics)
- Which journeys are working? (Journey Analytics)
- Which treatments perform best? (Treatment-level metrics)
Goal Analytics
Goal Analytics show how well you're achieving your business goals.
Accessing Goal Analytics
- Click Analytics in the sidebar
- Select Goal Analytics
Key Metrics
| Metric | What It Measures | Why It Matters |
|---|---|---|
| Conversions | Users who completed the goal action | Your primary success metric |
| Uplift | Improvement vs. control group | True impact of personalization |
| Engagement | Interactions with treatments | User interest and attention |
Understanding Uplift
Uplift shows the difference between users who saw treatments vs. those who didn't (control group).
Uplift = (Treatment Conversion Rate - Control Conversion Rate) / Control Conversion Rate × 100%
Example:
- Treatment group: 5% conversion rate
- Control group: 4% conversion rate
- Uplift: (5% - 4%) / 4% = 25% uplift
Tip: Positive uplift means your treatments are working. Aim for consistent positive uplift across your journeys.
Normalized Control Conversions
Since the treatment and control groups are often different sizes, we adjust the control group's conversions to make them comparable. We do this by multiplying the control group's conversions by the ratio of the treatment group size to the control group size.
This normalization ensures a fair apples-to-apples comparison when evaluating treatment impact.
Using Date Filters
Use the date selector to analyze different time periods:
- Last 7 Days - Recent performance
- Last 30 Days - Monthly trends
- Custom Range - Specific periods (e.g., journey duration)
Reading the Charts
Conversion Trend Chart:
- X-axis: Time (days)
- Y-axis: Conversion count or rate
- Line: Your goal performance over time
Look for:
- Upward trends (improving)
- Spikes (journeys working)
- Dips (investigate issues)
Journey Analytics
Journey Analytics show how individual journeys perform.
Accessing Journey Analytics
- Click Analytics in the sidebar
- Select Journey Analytics
- Choose a journey from the dropdown
Key Metrics
| Metric | What It Measures |
|---|---|
| Impressions | Times treatments were shown |
| Clicks | User interactions/clicks |
| CTR (Click-Through Rate) | Clicks ÷ Impressions |
Treatment Performance Table
Within Journey Analytics, you'll see a table showing each treatment's performance:
| Treatment | Impressions | Clicks | CTR |
|---|---|---|---|
| Welcome Message | 10,000 | 500 | 5.0% |
| Feature Tips | 8,500 | 340 | 4.0% |
| Discount Offer | 7,200 | 576 | 8.0% |
Tip: Sort by CTR to find your best-performing treatments. Sort by Impressions to see reach.
CTR Analysis
What's a good CTR?
- Depends on industry and treatment type
- Compare against your own historical data
- Push notifications: 3-10%
- In-app messages: 5-15%
- Email: 2-5%
Improving CTR:
- Test different headlines
- Try personalization
- Adjust targeting (guardrails)
- Review timing
Home Dashboard KPIs
The Home dashboard provides at-a-glance performance metrics.
Goal KPIs
Shows your top-line goal performance:
- Current period conversions
- Comparison to previous period
- Trend indicator (up/down)
Journey Performance
Quick view of your active journeys:
- Active journey count
- Top performing journeys
- Journeys needing attention
Treatment Performance
Summary of treatment activity:
- Active treatments
- Recent engagement
- Top performers
Common Analytics Questions
"How do I know if a treatment is working?"
Compare these indicators:
- CTR above average - People are engaging
- Positive uplift - Better than control
- Contributing to conversions - Driving goal completions
"What's a good conversion rate?"
It varies by:
- Industry (retail vs. media vs. finance)
- Goal type (purchase vs. sign-up vs. engagement)
- User segment (new vs. returning)
Benchmark against yourself: Compare current performance to your historical average.
"Why did performance drop?"
Common causes:
- Audience fatigue - Same users seeing same messages
- Seasonality - Normal fluctuations
- Competition - External market factors
- Technical issues - Delivery problems
Investigate by:
- Check for any recent changes
- Look at individual treatment performance
- Review guardrails
- Consult Agent and AI Insights for analysis
"How do I compare treatments?"
- Go to Journey Analytics
- Select the journey
- View the treatment performance table
- Sort by the metric you care about (CTR, conversions)
- Identify top and bottom performers
Analytics Best Practices
Regular Review Cadence
| Frequency | What to Check |
|---|---|
| Daily | Home dashboard for anomalies |
| Weekly | Journey performance trends |
| Monthly | Goal achievement vs. goals |
| Quarterly | Strategy review with deep analysis |
Setting Up for Success
- Define clear goals - Know what you're measuring
- Maintain control groups - Enable accurate uplift measurement
- Give it time - Allow sufficient data to accumulate (usually 7+ days)
- Document changes - Note when you modify treatments or journeys
Avoiding Common Mistakes
Don't:
- Judge performance too quickly (wait for statistical significance)
- Ignore context (seasonality, external events)
- Compare different treatment types directly
- Forget about the control group
Do:
- Set performance benchmarks
- Look at trends, not just point-in-time data
- Consider multiple metrics together
- Use Agent and AI Insights for deeper analysis
Exporting Data
To export analytics data:
- Navigate to the analytics page you want to export
- Look for the Export or Download button
- Select format (typically CSV)
- Open in Excel or Google Sheets for further analysis
Note: Export availability depends on your permissions.
Next Steps
To get even deeper insights:
- Using Agent and AI Insights - Ask questions about your data
- Quick Reference - Analytics shortcuts
For more detailed analytics features, see the Comprehensive Manual - Analytics.