Overview
The Forecasts dashboard provides predictive insights into your future sales and marketing performance. Using advanced statistical modeling, this dashboard helps you anticipate revenue, customer acquisition, and advertising efficiency.
How Forecasting Works
Conjura uses advanced statistical models developed by our data science team to generate forecasts. We use a sophisticated statistical time series forecasting approach that:
Accounts for seasonality: Recognizes recurring patterns (e.g., holiday spikes, monthly cycles)
Captures trends: Identifies upward or downward momentum in your business
Incorporates external factors: Uses ad spend as a key predictor for traffic and sales volume
Conjura has further enhanced this foundation with additional features to handle:
Erratic sales trends and outliers
Sparse or intermittent ad spend patterns
Ad spend conversion lag (i.e. accounting for the delay between ad investment and sales impact)
Complex seasonal variations
Real-time processing: The model recalculates dynamically based on the filters you apply, giving you forecasts tailored to specific marketing channels, sales channels, countries, or product categories.
Default Dashboard View
When you first open the Forecasts dashboard, you'll see the Forecasts Summary, with metrics focused on your upcoming 30-day performance compared to recent actuals:
Key Metrics
Metric | Description |
Gross Revenue | Your actual recent revenue from the last 30 days |
Next 30 Days Predicted Gross Revenue | Forecasted revenue for the next 30 days |
New Customers | Actual new customer count from the last 30 days |
Next 30 Days Predicted New Customers | Expected new customer acquisitions within the next 30 days |
Ad Spend | Your actual digital marketing spend from the last 30 days |
Next 30 Days Predicted Ad Spend | Projected advertising costs for the next 30 days |
ROAS | Your actual Return on Ad Spend from the last 30 days |
Next 30 Days Predicted ROAS | Forecasted advertising efficiency for the next 30 days |
Customization Options
While the default view focuses on 30-day forecasts, the dashboard supports predictions for:
30 days – Short-term tactical planning
60 days – Medium-term strategy
90 days – Quarterly planning
365 days – Annual forecasting
Additional forecasting metrics available include:
Orders and sessions – Traffic and transaction volume predictions
Conversion rates – Expected purchase efficiency
Inventory metrics – Units to restock, days of stock remaining, potential stockout losses
Product-level forecasts – SKU-specific unit sales predictions
Tip: For insights focused on inventory planning and restock recommendations, use the Products to Restock view. Read more about how this view works here.
Filters
Use the dimension filters at the top of the dashboard to refine forecasts for:
Specific products, SKUs, categories, or brands
Sales channels, platforms, or channel groups
Geographic territories or warehouses
Product tags and collections
The forecasting model recalculates instantly as you apply filters, ensuring your predictions reflect the exact scope you're analyzing.
Tip: Use the Forecasts dashboard alongside your actual performance reports to validate prediction accuracy and adjust your business strategies proactively.