Skip to main content

​
Overview

Trendteller’s multi-brand analytics capabilities allow you to consolidate data from 11 brands across 9 e-commerce platforms, enabling powerful cross-brand insights and comparisons.

​
Brand Selection

Select one or more brands to analyze:
1

Access Brand Selector

Click the brand selector dropdown in the top navigation bar.
2

Choose Brands

  • Select individual brands
  • Use “Select All” for portfolio view
  • Create brand groups for common comparisons
3

Apply Selection

Dashboard automatically updates with combined or comparative data.

​
Consolidated View

​
Portfolio-Wide Metrics

When multiple brands are selected, view aggregated metrics:
  • Combined Revenue: Total revenue across all selected brands
  • Aggregate Orders: Total order count
  • Weighted AOV: Composite average order value
  • Unified Customer Base: Deduplicated customer count
Customers who purchase from multiple brands are deduplicated to provide accurate unique customer counts.

​
Comparative Analysis

​
Side-by-Side Comparison

Compare performance metrics across brands:
  • Sales Performance
  • Product Performance
  • Customer Metrics
BrandRevenueOrdersAOVGrowth
Brand A$60K500$120+15%
Brand B$50K400$125+8%
Brand C$40K350$114+12%

​
Benchmarking

Benchmark individual brand performance against portfolio averages: 
Brand A vs Portfolio Average:
✓ Revenue: +25% above average
✓ AOV: +12% above average
✗ Order Volume: -5% below average
✗ Margin: -3% below average

​
Cross-Brand Insights

​
Customer Overlap

Identify customers who purchase from multiple brands:

Multi-Brand Customers

15% of customers purchase from 2+ brands
  • Higher lifetime value (2.3x average)
  • Better retention (85% vs 60%)
  • Lower acquisition cost (amortized)

Brand Affinity

Common brand combinations:
  • Brand A + Brand B: 45% overlap
  • Brand A + Brand C: 32% overlap
  • Brand B + Brand C: 28% overlap
Target multi-brand customers with cross-promotional campaigns to increase wallet share.

​
Inventory Optimization

Cross-brand inventory insights:
  • Shared Products: Products sold by multiple brands
  • Inventory Transfer Opportunities: Move stock between brands
  • Consolidated Purchasing: Bulk ordering opportunities
  • Seasonal Patterns: Identify complementary seasonal cycles

​
Unified Reporting

​
Executive Dashboard

Portfolio-level executive view:
  • Total portfolio revenue and growth
  • Brand contribution percentages
  • Key performance drivers
  • Strategic recommendations

​
Brand-Specific Deep Dives

Drill down into individual brand performance while maintaining portfolio context:
  1. Click on any brand in comparative view
  2. View detailed brand-specific metrics
  3. Compare against other brands
  4. Return to portfolio view

​
Data Segmentation

​
By Platform

Analyze performance by e-commerce platform:
  • Combined Bling platform revenue
  • Platform-specific trends
  • Integration health
  • VNDA fashion platform performance
  • Category-specific insights
  • Individual platform analysis
  • Integration comparison

​
By Category

Cross-brand category performance:
  • Apparel across all fashion brands
  • Electronics category comparison
  • Home goods performance
  • Seasonal category trends

​
Forecasting

​
Portfolio Forecasting

Generate forecasts at the portfolio level:
  • Consolidated sales forecast
  • Brand-specific predictions
  • Category-level forecasts
  • Inventory requirements
AI identifies trends affecting multiple brands:
  • Market-wide shifts
  • Shared customer behavior changes
  • Seasonal pattern similarities
  • Competitive landscape changes

​
Next Steps

AI Insights

Learn about AI-generated cross-brand insights

Data Exports

Export multi-brand data for analysis

Dashboard Guide

Master the dashboard interface

API Reference

Access multi-brand data programmatically