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Marketing risk assessment

E-commerce and Retail Marketing Risk Assessment: Claims, Spend, Data and Platform Controls

A worked example of how a small online retail marketing team finds, scores and controls the risks that threaten campaign results, legal compliance, customer data, brand trust and access to its sales channels.

Updated November 2026 8 hazards assessed Review every 3 months Highest risk: High to Medium
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Executive summary

This assessment shows how an online retail marketing team can find, rate and control the risks that threaten its campaigns, customers and sales channels. Eight risks were chosen because they are plausible in everyday e-commerce and retail marketing work. Misleading claims, budget and attribution errors, and privacy and consent breaches are the most likely to cause harm if left alone. Account compromise and channel dependency carry serious impact even where their likelihood is lower. Each risk is scored before controls and again after existing and added controls. Most fall to Medium or Low once added controls are in place, but channel dependency stays at Medium because switching platforms takes time. The first actions are a claims library with sign off, spend caps with weekly reconciliation, multi-factor sign in for every shared account and a consent audit of site tags. The business is a teaching example, so every score illustrates method, not a real organization.

Focus area
E-commerce and retail marketing
Setting
Marketing function of a small to mid-sized online retailer that sells through its own store and third-party marketplaces
Method
Five by five likelihood and impact risk register

Scope

This assessment covers paid and organic campaigns, product pages, email and social content, influencer partnerships, analytics, and the platforms and agencies that support them. It looks at risks to customers, budgets, data, brand and sales channels. Jurisdiction, product category and team size are assumptions made for teaching. Advertising and privacy rules vary by location, so specialist review is needed.

Context

The retailer runs an online store, two marketplace accounts, paid search and social advertising, an email platform and a customer data platform. An outside agency manages some campaigns and a small group of influencers creates sponsored posts. Marketing staff use analytics dashboards to judge campaign performance and to decide on spend. Each risk is scored before controls to show its natural level, then again after existing controls and the additional controls proposed here.

Objectives, assets and stakeholders

The objective is to grow sales through honest, lawful and well measured marketing, protect customer data and brand trust, and keep access to the sales channels that the business depends on. The assets in scope are the online store, product and campaign content, advertising and social accounts, customer and subscriber data, analytics and tracking tools, marketplace listings, and the reputation of the brand. Stakeholders include the marketing team, the finance team, the IT team, customers, influencers, agencies, platforms, rights holders and data protection authorities. Clear roles matter: every risk has one owner role, and the head of e-commerce keeps the register current and reports to leadership each quarter.

Risk matrix: before and after controls

Each cell shows hazard numbers placed by likelihood and impact. Compare the two grids to see how controls move each hazard.

Before controls

Inherent risk

Risk before controls: rows are likelihood from almost certain to rare, columns are impact from insignificant to catastrophic. Cells list hazard numbers.
1
Insignificant		 2
Minor		 3
Moderate		 4
Major		 5
Catastrophic
5 Almost certain
4 Likely Likelihood 4, impact 3, score 12, high: H02 H03 Likelihood 4, impact 4, score 16, high: H01 H07
3 Possible Likelihood 3, impact 3, score 9, medium: H06 Likelihood 3, impact 4, score 12, high: H08 Likelihood 3, impact 5, score 15, high: H04 H05
2 Unlikely
1 Rare

After controls

Residual risk

Risk after controls: rows are likelihood from almost certain to rare, columns are impact from insignificant to catastrophic. Cells list hazard numbers.
1
Insignificant		 2
Minor		 3
Moderate		 4
Major		 5
Catastrophic
5 Almost certain
4 Likely
3 Possible Likelihood 3, impact 3, score 9, medium: H07
2 Unlikely Likelihood 2, impact 2, score 4, low: H03 H06 Likelihood 2, impact 3, score 6, medium: H01 H02 H08 Likelihood 2, impact 4, score 8, medium: H04 H05
1 Rare
  • Low 1 to 4
  • Medium 5 to 9
  • High 10 to 16
  • Critical 17 to 25

Hazard register

A summary first, then the detail for each hazard.

Summary of hazards with scores before and after controls
No.HazardBeforeAfterOwner
H01 Misleading product claims and advertising non-compliance 16 High 6 Medium Marketing compliance lead
H02 Budget overspend and attribution errors 12 High 6 Medium Performance marketing manager
H03 Fraudulent traffic, bots and fake leads 12 High 4 Low Digital analytics lead
H04 Account compromise of advertising, store and social accounts 15 High 8 Medium IT security lead
H05 Privacy, consent and targeting breaches 15 High 8 Medium Data protection lead
H06 Intellectual property infringement in creative and influencer content 9 Medium 4 Low Creative director
H07 Platform, influencer and vendor dependency 16 High 9 Medium Head of e-commerce
H08 Brand and reputational harm from campaign failure 12 High 6 Medium Brand manager
H01

Misleading product claims and advertising non-compliance

Legal and compliance Before 16 After 6

Product pages, adverts or influencer posts make claims about price, discounts, health benefits, origin or reviews that cannot be proven, or hide terms, so the business breaches advertising rules.

Who or what is affected: Customers, marketing team and regulators

Causes

Fast copy production, pressure to win sales and unclear evidence for product benefits.

Consequences

Complaints, takedown orders, fines where applicable and loss of customer trust.

Existing controls

  • Copy is checked by the marketing lead before publication.
  • Discount terms are listed on the checkout page.

Control gaps

Influencer posts and agency copy are not checked against the claims library.

Additional controls

  • Prevent: Keep a claims library with evidence for each product statement and require sign off before use.
  • Detect: Audit live pages and adverts monthly against the claims library and the local rules.
Likelihood 4 x impact 4 before; 2 x 3 after Owner: Marketing compliance lead Target: Within 30 days Early warning: Customer complaints or platform flags about a product claim or price statement.
H02

Budget overspend and attribution errors

Financial Before 12 After 6

Spend runs ahead of plan because of automated bidding or weak caps, and sales are credited to the wrong channel, so the team funds campaigns that do not work and cuts ones that do.

Who or what is affected: Finance team, marketing managers and owners

Causes

Automated bidding, overlapping tracking tags and last click reporting that favours some channels.

Consequences

Wasted budget, poor allocation decisions and strained cash flow.

Existing controls

  • Daily spend limits are set on the main advertising accounts.
  • Monthly reports compare spend with the budget.

Control gaps

Platform figures are accepted without reconciling them to orders.

Additional controls

  • Prevent: Set account level caps and alerts at fixed percentages of the monthly budget.
  • Detect: Compare platform reported sales with order system data each week and log differences.
Likelihood 4 x impact 3 before; 2 x 3 after Owner: Performance marketing manager Target: Within 30 days Early warning: Spend above 110 percent of the weekly plan or a gap above 15 percent between platform and order sales.
H03

Fraudulent traffic, bots and fake leads

Financial Before 12 After 4

Bots, click farms or fake sign ups inflate traffic and lead numbers, so paid clicks are wasted and reports show demand that does not exist.

Who or what is affected: Marketing team, finance team and sales staff

Causes

Automated traffic, affiliate schemes that pay per lead and weak form protection.

Consequences

Wasted spend, distorted campaign decisions and overpaid affiliates.

Existing controls

  • Bot filtering is switched on in the analytics tool.
  • Lead forms require a verified email address.

Control gaps

Affiliate lead payments are approved without checking lead quality.

Additional controls

  • Prevent: Use a bot protection tool on forms and checkout and block known invalid sources.
  • Detect: Review traffic spikes, very short visits and repeated sign ups from one network each week.
Likelihood 4 x impact 3 before; 2 x 2 after Owner: Digital analytics lead Target: Within 45 days Early warning: A sudden rise in sign ups with no matching rise in sales or engagement.
H04

Account compromise of advertising, store and social accounts

Technology and data Before 15 After 8

Stolen passwords or phishing give an outsider control of ad accounts, store settings or social profiles, who then change prices, post false content or spend the budget.

Who or what is affected: Customers, staff, agencies and shareholders

Causes

Phishing, reused passwords and shared logins among agencies.

Consequences

Fraudulent spend, false posts, data exposure and public damage to trust.

Existing controls

  • Staff use individual logins for the main platforms.
  • Payment details are held by the processor, not on the marketing system.

Control gaps

Agency access is not reviewed, and some old accounts remain active.

Additional controls

  • Prevent: Require multi-factor sign in and a password manager for every shared or admin account.
  • Respond: Keep a written takeover plan that revokes access, resets credentials and posts a verified notice.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: IT security lead Target: Within 30 days Early warning: Login alerts from unfamiliar locations or unexpected changes to campaign budgets.
H05

Privacy, consent and targeting breaches

Legal and compliance Before 15 After 8

Tracking pixels, customer lists or lookalike audiences are used without valid consent or outside the purpose customers agreed to, so personal data is processed unlawfully.

Who or what is affected: Customers, marketing team and data protection authorities

Causes

Many third party tags, fast campaign launches and customer lists shared without checks.

Consequences

Penalties where applicable, forced deletion of data and loss of customer trust.

Existing controls

  • A cookie banner asks visitors for consent before optional tracking.
  • Email marketing uses an unsubscribe link in every message.

Control gaps

Tags added by agencies are not inventoried or tested.

Additional controls

  • Prevent: Map each data flow and tag to a stated purpose and a consent record before launch.
  • Detect: Scan the site each month for tags that fire before consent and remove any that do.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: Data protection lead Target: Within 45 days Early warning: A tag found firing before consent or a customer request to stop targeting.
H06

Intellectual property infringement in creative and influencer content

Legal and compliance Before 9 After 4

Images, music, fonts, logos or competitor names are used without a licence, or influencers post content without the required disclosure, so rights holders or regulators make claims.

Who or what is affected: Creative team, influencers, rights holders and customers

Causes

Reuse of old assets, quick edits by agencies and unclear licence terms.

Consequences

Takedown demands, claims for damages and loss of partner goodwill.

Existing controls

  • Stock images are bought from licensed libraries.
  • Influencer contracts mention disclosure of paid partnerships.

Control gaps

Licence expiry dates are not tracked, and disclosure is not checked on live posts.

Additional controls

  • Prevent: Keep a licence register with the source, scope and expiry date for every asset used.
  • Respond: Remove disputed content quickly and keep a record of the takedown and the reason.
Likelihood 3 x impact 3 before; 2 x 2 after Owner: Creative director Target: Within 60 days Early warning: A rights holder complaint or a licence due to expire within 30 days on an active campaign.
H07

Platform, influencer and vendor dependency

Supplier Before 16 After 9

Sales depend on one marketplace, one advertising platform or one agency, so a policy change, account suspension or supplier failure stops sales or campaigns at short notice.

Who or what is affected: Owners, staff, suppliers and customers

Causes

Heavy reliance on one channel, short contracts and policy changes made by platforms.

Consequences

Lost sales, idle spend, delayed launches and higher costs to switch.

Existing controls

  • Two marketplaces are used for the main product lines.
  • Campaign assets are stored in the business shared drive.

Control gaps

No channel holds more than half of sales, but no one tracks platform terms or agency performance.

Additional controls

  • Prevent: Spread key sales across at least two channels and review each platform policy change each quarter.
  • Recover: Keep a tested alternative agency and an export of customer lists and creative files.
Likelihood 4 x impact 4 before; 3 x 3 after Owner: Head of e-commerce Target: Within 90 days Early warning: Platform notice of policy change or an account warning, or a supplier missing agreed delivery dates twice.
H08

Brand and reputational harm from campaign failure

Reputational Before 12 After 6

A campaign, influencer post or offensive product message fails in public, so customers and media respond negatively and the brand loses trust and sales.

Who or what is affected: Brand team, customers, staff and partners

Causes

Weak pre-launch testing, influencer off-brand content and slow response to comments.

Consequences

Negative coverage, falling sales, partner withdrawal and staff stress.

Existing controls

  • Campaigns go through a team review before launch.
  • Social comments are monitored during working hours.

Control gaps

Pre-launch checks do not include a test with a diverse review group, and out of hours comments are not monitored.

Additional controls

  • Prevent: Run a pre-launch check covering audience, tone, cultural context and possible misreading.
  • Respond: Hold a holding statement and a named spokesperson ready to use within two hours.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Brand manager Target: Within 60 days Early warning: A spike in negative comments or mentions above three times the weekly average.

Rating method and evaluation

Each risk is rated on two five-point scales. Likelihood runs from Rare to Almost certain, and impact runs from Insignificant to Severe. Multiplying the two gives a score from 1 to 25, which falls into one of four bands: Low from 1 to 4, Medium from 5 to 9, High from 10 to 16 and Critical from 17 to 25. The score is a guide for ordering work, not a measurement. Inherent risk is the score before any controls. Residual risk is the score after the existing and added controls, and it must never be higher than the inherent score. Impact is judged on money lost, customer harm, legal exposure, effect on sales and damage to trust, and a legal or privacy risk is never rated down only because it has not yet caused a complaint. Anything still High needs leadership attention and a dated plan, anything Medium needs routine controls with a named owner, and anything Low is accepted and watched. Staff who run campaigns should challenge the ratings, and the register is reviewed whenever an indicator reaches its threshold or a platform changes its rules.

Likelihood, impact and rating bands

Likelihood

  • 5 Almost certain: Expected to happen in most circumstances.
  • 4 Likely: Will probably happen in many circumstances.
  • 3 Possible: Could happen at some time.
  • 2 Unlikely: Not expected, but it could happen.
  • 1 Rare: Only in exceptional circumstances.

Impact

  • 1 Insignificant: No lasting effect. Handled within routine work.
  • 2 Minor: Small effect that is quickly corrected.
  • 3 Moderate: Noticeable effect that needs managed effort to correct.
  • 4 Major: Serious effect on people, delivery or reputation.
  • 5 Catastrophic: Severe or lasting effect that threatens the whole activity.

Bands (likelihood x impact)

  • Low (1 to 4): Accept and monitor.
  • Medium (5 to 9): Manage with routine controls.
  • High (10 to 16): Senior attention and a treatment plan.
  • Critical (17 to 25): Act first. Do not proceed until reduced.

Monitoring, escalation and review

Review this assessment every 3 months, and sooner when an indicator below reaches its threshold.

Early-warning indicators and escalation thresholds
Indicator to watchEscalate when
Live product claims or adverts that are not linked to an evidence record.Escalate to the marketing compliance lead when any unsupported claim is found, and pause the advert until it is confirmed.
Gap between platform reported sales and order system sales.Escalate to the performance marketing manager when the gap exceeds 15 percent for a week, and to the head of e-commerce after two weeks.
Login alerts or unexpected changes to budgets on any admin account.Escalate to the IT security lead at once, and invoke the takeover plan if access cannot be confirmed within an hour.
Tags firing before consent or a customer request to stop targeting.Escalate to the data protection lead within one working day, and remove the tag until it is reviewed.
Negative comments or mentions above three times the weekly average.Escalate to the brand manager at once, and to leadership if the level stays high for 24 hours.

Contingency arrangements

If a serious event occurs, such as a confirmed account takeover, a privacy complaint or a campaign that causes public harm, the head of e-commerce pauses the affected campaigns and tags, and the brand manager issues a holding statement. The IT security lead revokes access, resets credentials and preserves logs. The data protection lead decides on any notice to regulators or customers, as required in the relevant jurisdiction. Finance freezes the affected budget, and the team restores listings and customer lists from the latest tested backup.

Prioritized action plan

  1. Introduce a claims library with evidence and sign off before publication, owner marketing compliance lead, within 30 days.
  2. Require multi-factor sign in and remove unused agency access, owner IT security lead, within 30 days.
  3. Cap ad spend and reconcile platform sales with orders each week, owner performance marketing manager, within 30 days.
  4. Audit site tags against consent records and remove any that fire early, owner data protection lead, within 45 days.
  5. Create a tested alternative channel plan and export key data, owner head of e-commerce, within 90 days.

Conclusion

Sound e-commerce marketing rests on a few steady habits: evidenced claims, capped spend reconciled to orders, consent checked before tracking, protected accounts and a plan for public response. The highest scores sit with claims, attribution and account security, and each has actions that bring the residual score down. Treat the register as a living record, review it on the stated cycle, and seek qualified legal, privacy and advertising advice for any real campaign decision.

Assumptions and limitations

Assumptions

  • The retailer sells physical goods to consumers and accepts card payments through a third party processor.
  • Jurisdiction is not specified, so legal duties are described in general terms and need local review.
  • Agencies and influencers work under written contracts, but the detail of those contracts is not known.

Limitations

  • The scores are examples for learning and do not describe any real retailer or campaign.
  • Advertising, consumer protection and privacy rules differ by location and change over time, so specialist review is needed.
  • This is educational content and is not legal, financial or regulatory advice.

Related frameworks to study

  • Risk register with likelihood and impact scoring
  • Three lines model of risk ownership
  • Hierarchy of controls
  • Privacy by design principles
  • Self-regulatory advertising codes that apply in the relevant market

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For Learning Reference Only: This assessment demonstrates how risk assessment principles are applied in a practical setting, providing a useful reference for learning and understanding. Actual assessments may be adapted to suit specific site conditions and circumstances.

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