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Sales channel analytics

How can sales channel analytics support strategic choice or positioning?

AccessibleStrategicOrganisation2 min read
Contents

Sales channel analytics looks at all the various ways that you distribute your products to your market to see which channels are the most effective.

Sales channel analytics evaluates how customers buy across direct, partner, retail, marketplace and digital routes. It connects channel activity with incremental sales, contribution, customer quality and strategic control so the organisation can design a portfolio rather than crown one apparent winner.

When to use it

Review channel performance regularly and conduct a structured strategic review at least every year. Increase the cadence when customer behaviour, partner economics or technology changes quickly.

Use the analysis to answer:

  • Which channels contribute the most incremental sales?
  • Which acquire new customers rather than merely process existing demand?
  • How do results differ by segment, product and geography?
  • Which channels create the strongest contribution after full cost?
  • Where do channels reinforce or cannibalise one another?

Origins

The practice combines distribution-channel management, managerial accounting and marketing attribution. Firms have long compared direct and intermediary routes; digital commerce added detailed journey data, experimentation and multi-touch attribution. There is no single origin, and more data has not removed the central causal problem: the final transaction channel may not be the channel that created demand.

What it is

A channel is a route through which the customer discovers, evaluates, purchases or receives an offer. Examples include field sales, stores, distributors, agents, marketplaces, the organisation’s own website and applications.

Channel effectiveness includes reach, conversion, average order, returns, gross margin, fulfilment, commission, service cost, acquisition, retention and customer experience. A low-cost digital checkout may depend on stores or salespeople that educate the customer; allocating all credit to the last touch understates that contribution.

Why it matters

Channel choices shape economics, customer access, data ownership, brand experience and bargaining power. Poor analysis can direct investment away from channels that create demand or strategic resilience simply because another channel records the transaction.

The goal is not only to maximise immediate margin. A partner may unlock customers the company cannot reach directly, while a direct route may build insight and lifetime value. Evaluate the role of each channel in the system.

How to use it

Map all current and feasible channels and define the function each performs across discovery, advice, transaction, fulfilment and service. Establish consistent channel, customer, product and cost data.

Report sales and contribution after discounts, returns, commissions, media, sales labour, platform fees, fulfilment and support. Measure acquisition and retention by cohort. Preserve first-touch, assist and transaction channels rather than overwriting the journey with one source.

Use experiments, geographic tests, matched cohorts or time-based designs where feasible to estimate incrementality. Multi-touch attribution models can organise evidence but remain assumption-dependent. Reconcile online and offline identities with consent and data minimisation.

Optimise the portfolio under capacity, customer and partner constraints. Model cannibalisation, channel conflict and the risk of dependence on one intermediary. Assign decisions and rerun the analysis after changes.

Practical example

A winemaker sells through a vineyard shop, mail order, a larger wine merchant, its own website and representatives serving restaurants, supermarkets and specialist retailers.

The website may show the highest transaction margin but the fewest orders. The merchant may deliver the greatest volume with a lower margin because of commission. The vineyard shop may create experience and future direct demand that later appears as online conversion.

A sound analysis assigns full direct costs, follows customer cohorts and tests assisted effects. The resulting mix may retain every channel for a different role while changing investment, commission or conversion paths.

Top practical tip

Separate the channel that created demand, the channel that assisted evaluation and the channel that booked the order. Then test whether removing or changing one route alters total contribution, not merely where the sale is recorded.

Top pitfall

Do not award all value to the last touch. A customer who buys online may have been persuaded by a salesperson or store months earlier; last-click reporting can defund the activity that made the transaction possible.

Further reading

For further insight into sales channel analytics see for example:

  • Dent, J. (2011) Distribution Channels: Understanding and Managing Channels to Market, 2nd edition, London: Kogan Page
  • http://www.mckinsey.com/client_service/marketing_and_sales/expertise/ sales_and_channel_management
  • http://www.academia.edu/2741798/Managing_sales_return_in_dual_sales_ channel_An_analysis_of_its_product_substitution