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Recruitment channel analytics vs Sales channel analytics

These models cover closely related ground. Compare their purpose, scope, practical guidance, and supporting resources to choose the better fit.

Related modelsFinanceFinanceFramework / model
Organisational behaviour

Recruitment channel analytics

Recruitment channel analytics is the process of working out where your best employees come from and what recruitment channels are most effective.

Kind
Framework / model
Complexity
Accessible
Horizon
Strategic
Read article
Marketing

Sales channel analytics

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.

Kind
Framework / model
Complexity
Accessible
Horizon
Strategic
Read article

Choice logic

Use this when.

Recruitment channel analytics

Review channel performance continuously enough to support decisions and conduct a structured assessment at least once a year. Analyse by role family, location and hiring context because the channel that works for one labour market may fail in another.

Sales channel analytics

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.

Extracted signals

Strengths, limits, and pitfalls.

Recruitment channel analytics

  • Track a channel from exposure to qualified application, selection, acceptance and post hire outcome. Sites such as glassdoor.com may add independent experience signals, but verify representativeness and separate employer brand feedback from channel attribution.
  • Create consistent source attribution across the applicant tracking system, recruitment marketing tools and agencies. Preserve first touch and meaningful touch sources rather than overwriting the record with the final click. Define funnel stages and costs consistently, including internal labour and agency fees.
  • Analyse comparable roles and periods, quantify uncertainty and distinguish association from causal channel effect. Where feasible, test channel changes through controlled pilots. Monitor selection rates and outcomes across relevant groups, minimise personal data, restrict access and define retention periods.

Watch for

  • Do not convert a correlation in historical employees into an automatic screen. Validate job relevance, test alternatives, monitor adverse impact and remember that rejected or withdrawn candidates create missing outcome data. Reviews on glassdoor.com and social media can reveal issues, but they do not make that missing data representative.

Sales channel analytics

  • 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.
  • 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.

Watch for

  • 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.

Read next

Open the full model articles.

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Application bridge