Product performance
Compare contribution, returns and attachment rates across lines.
Product margin · Returns · Basket links
Retail and customer analytics · UK
Retail analytics that protect margin, not just traffic
Griffith's Digital Insights Ltd. connects e-commerce, inventory, customer and marketing data, so you can see which products and customers contribute to profit.
Core lines running out of stock and first-time buyers who never return both leave a mark on margin. We bring demand forecasting, stockout prediction, customer lifetime value and attribution into one practical view.
Built in Batley, West Yorkshire. Supporting retailers and agencies across the UK.
Illustrative dashboard
Trading margin overview
Contribution / order
£42.80
After fulfilment costs
Stock cover risk
18 days
Priority lines flagged
Repeat purchase
32%
Illustrative cohort rate
Contribution by channel
Sample comparison · not client results
Demand and stock balance
Forecast demand. Keep stock in balance.
E-commerce demand forecasting works best when sales history is read alongside seasonality, promotions and supplier lead times. The result is a clearer view of which lines need attention before the next buying decision.
Prioritised stock risks
Ranked by likely lost contribution, not just unit volume.
Core product AHigh stockout risk
Demand rising ahead of supplier lead time
Seasonal line BReview reorder
Promotion uplift included in forecast
Slow mover COverstock flagged
Capital tied up shown by product line
Forecast against recent sales
Example weekly demand profile by SKU group
Actual
Forecast
Reorder guidance
Suggested quantities include safety stock and supplier variability.
Clearance view
Slow-moving stock is linked to its capital and margin impact.
The useful forecast is the one your buying team can act on.
Customer value and retention
See customer lifetime value before you spend to keep them
A customer lifetime value dashboard shows how cohorts build value over time by acquisition month, channel and first product. Churn prediction can surface early disengagement signals while there is still time to act.
Repeat value by cohort
Illustrative contribution retention matrix
CohortM1M2M3M4M5
Jan groupHighHighMidMidLow
Feb groupHighMidMidLowLow
Mar groupMidMidLowLow—
Apr groupHighMid———
High-value groups
Mid-value groups
Low-value groups
Compare acquisition channels and first products to find where repeat contribution builds.
Retention signals
Useful before cancellation or lapse
Subscription pause activityReview
Compare pause patterns with later cancellation.
Repeat-order gap wideningMonitor
Spot customers whose buying rhythm has changed.
Usage falling in key featuresInvestigate
Connect product use to subscription retention.
Retention effort belongs with the segments where it can change contribution.
Product and channel insight
Know what sells, what sticks and what pays back
Product reporting can include attachment rates, cross-sell patterns, returns and contribution by line. For subscription and digital products, usage insight helps show which features or bundles appear alongside stronger retention.
Marketing attribution analytics should follow the order, not stop at the click.
Usage and retention
Link feature and bundle use to repeat activity or subscription changes.
Feature use · Renewal · Bundle mix
Attribution and margin
Compare channel spend with first orders, repeat orders and blended contribution.
Acquisition cost · Repeat sales · Margin
Who this is for
For retailers, subscription teams and agencies
The right view depends on how you sell. These are common starting points for retail analytics in the UK.
Independent retailers
Bring shop and online trading into a shared product and margin view.
- Channel contribution
- Returns by product
- Repeat purchase
E-commerce teams
See demand risk across broad ranges before stock cover becomes a problem.
- SKU forecasts
- Stockout prediction
- Overstock exposure
Subscription brands
Track usage, renewal behaviour and churn signals in one customer view.
- Churn indicators
- Lifetime value
- Renewal cohorts
Digital agencies
Give client reporting a governed data base beyond platform dashboards.
- Cross-channel reporting
- Client-ready measures
- Spend to margin
Commercial outcomes
Put the decisions that affect margin in view
The measures are chosen around the decisions your team needs to make, not a generic retail scorecard.
01 · Stock
Fewer missed sales on priority lines
Rank stockout risk by expected contribution, with demand and lead time together.
02 · Working capital
Clearer slow-stock decisions
See where capital sits in slow-moving products before setting clearance actions.
03 · Retention
Focus on valuable repeat buyers
Compare repeat-purchase behaviour by cohort, channel and first product.
04 · Acquisition
Separate volume from profit
Connect marketing spend to first orders, repeat orders and contribution margin.
Every measure needs a clear source and a decision attached to it.
A practical first step
Make product and customer decisions on contribution, not guesswork
Tell us where margin is leaking: stockouts, slow-moving lines, returns, churn or paid acquisition. We’ll start by assessing the data across your e-commerce platform, inventory, CRM, subscription tools and advertising sources.
Agree the commercial questions before choosing measures.
Review source quality, definitions and reporting gaps.
Plan a useful first dashboard around your team’s decisions.
Talk through your retail and customer data
Remote delivery is available for retailers across the UK, with on-site working across West Yorkshire.
Discuss your project