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Marketing risk assessment

Event Marketing and Experiential Campaigns Risk Assessment: Claims, Privacy, Fraud and Platform Controls

A worked example of how a marketing team finds, scores and controls the risks in live events, experiential activations and paid digital campaigns, from misleading claims and privacy breaches to fake leads and account takeover.

Updated November 2026 8 hazards assessed Review every 6 months Highest risk: Critical to Medium
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Executive summary

This assessment shows how an events and campaign team can find, rate and control the risks that threaten its guests, its budget and its brand. Eight risks were chosen because they are plausible in live activations and paid digital work. Misleading claims and privacy failures are rated most serious before controls, because they carry legal exposure and lasting damage to trust. Account compromise and fraudulent leads are also significant. Each risk is scored before controls and again after existing and added controls. Most fall to Medium or Low once the added controls are in place, but privacy stays at Medium because consent failures are hard to undo. The first actions are a claims sign off, a consent check at every lead capture point, a vendor access review and a tested account recovery process. Every score illustrates method, not a real organization.

Focus area
Event marketing and experiential campaigns
Setting
Consumer brand marketing team running live events, pop-up activations and paid digital campaigns with agencies and influencers
Method
Five by five likelihood and impact risk register

Scope

This assessment covers the planning, launch, live running and measurement of one event and one paid digital campaign, from briefing and creative approval to lead capture, reporting and post-campaign review. It looks at risks to guests, customers, budgets, personal data, brand trust and legal duties. It does not cover venue safety engineering, ticketing law or the tax position of any real business. Jurisdiction, team size, platforms and vendors are assumptions made for teaching.

Context

The team has a campaign manager, a brand lead, a data analyst and an events coordinator. Live activations are built with a production agency, and paid reach is bought through social and search platforms. Guests register online, leads are captured on tablets and in a customer relationship system, and influencers publish content under agreed briefs. Each risk is scored before controls to show its natural level, then again after existing controls and the added controls that should be introduced.

Objectives, assets and stakeholders

The objective is to run events and campaigns that deliver the agreed reach and leads, comply with advertising and privacy duties, stay within budget and protect the brand. The assets in scope are the campaign budget, guest and lead data, consent records, brand content and creative assets, paid media accounts, event kit and the team's reputation. Stakeholders include guests, prospective customers, influencers, production and media agencies, platform providers, the finance business partner, the brand board and any regulators or self-regulatory bodies that apply. Every risk has one owner role. The campaign manager keeps the register current and reports to the marketing director before launch and after each event.

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: H04 Likelihood 4, impact 4, score 16, high: H01 Likelihood 4, impact 5, score 20, critical: H02
3 Possible Likelihood 3, impact 3, score 9, medium: H05 H07 Likelihood 3, impact 4, score 12, high: H03 H06 Likelihood 3, impact 5, score 15, high: H08
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
2 Unlikely Likelihood 2, impact 2, score 4, low: H04 H05 H07 Likelihood 2, impact 3, score 6, medium: H01 H03 H06 Likelihood 2, impact 4, score 8, medium: H02 H08
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 claims and advertising rule breaches 16 High 6 Medium Brand lead
H02 Privacy, consent and targeting failures 20 Critical 8 Medium Data analyst
H03 Pre-launch check gaps and campaign failure 12 High 6 Medium Campaign manager
H04 Budget overspend and attribution errors 12 High 4 Low Finance business partner
H05 Fraudulent traffic and fake leads 9 Medium 4 Low Campaign manager
H06 Influencer and vendor brand harm and rights breaches 12 High 6 Medium Partnerships manager
H07 Platform and vendor dependency 9 Medium 4 Low Marketing operations lead
H08 Account compromise of paid and social accounts 15 High 8 Medium IT lead
H01

Misleading claims and advertising rule breaches

Legal and compliance Before 16 After 6

Event and campaign copy overstates product benefits, hides terms, uses unverified testimonials or misrepresents prizes, so guests and regulators are misled and the brand may breach advertising rules.

Who or what is affected: Guests, prospective customers, brand board and regulators

Causes

Pressure to hit reach targets, creative work finished late and unclear substantiation rules.

Consequences

Complaints, takedown orders, fines where relevant, refunds and loss of trust.

Existing controls

  • Brand guidelines list approved product claims.
  • The legal adviser reviews headline offers before launch.

Control gaps

Stage scripts and influencer captions are approved informally and are not checked against the claims list.

Additional controls

  • Prevent: Require a dated substantiation file for every claim, testimonial and prize before approval.
  • Detect: Scan live posts and landing pages weekly against the approved claims list.
Likelihood 4 x impact 4 before; 2 x 3 after Owner: Brand lead Target: Within 30 days Early warning: Claims published without a recorded substantiation sign off.
H02

Privacy, consent and targeting failures

Technology and data Before 20 After 8

Guest and lead data is collected without clear consent, shared with a vendor without a contract, or used to target audiences that were never agreed, so personal information is misused.

Who or what is affected: Guests, leads, data subjects and the data protection lead

Causes

Lead capture at busy events, bulk imports from old lists and vendors that keep copies of data.

Consequences

Regulatory complaints, deletion orders, compensation claims and damage to brand trust.

Existing controls

  • Registration forms include a marketing opt in tick box.
  • Audience uploads are limited to the CRM team.

Control gaps

Consent is collected on tablets without a check of the tick box, and vendor copies are not tracked.

Additional controls

  • Prevent: Require a lawful basis and consent record for every contact before it can enter a paid audience.
  • Respond: Delete unconsented records within a set period and notify the data protection lead.
Likelihood 4 x impact 5 before; 2 x 4 after Owner: Data analyst Target: Within 30 days Early warning: Lead forms or contact imports with missing or expired consent records.
H03

Pre-launch check gaps and campaign failure

Operational Before 12 After 6

Event logistics, tracking tags, landing pages or booking systems are not tested before launch, so guests cannot register, links break and the campaign delivers little of its planned reach.

Who or what is affected: Guests, campaign team and agency partners

Causes

Late creative changes, rushed timelines and tracking set up by different people.

Consequences

Lost leads, wasted spend, guest complaints and a weak campaign report.

Existing controls

  • A launch checklist is used for each event.
  • The agency runs a dress rehearsal of the activation.

Control gaps

The checklist is not signed off and no one owns the tracking setup.

Additional controls

  • Prevent: Test every link, form, tag and booking path on mobile and desktop before go live.
  • Detect: Run a daily check of traffic, sign ups and error logs during the first week.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Campaign manager Target: Within 30 days Early warning: A landing page or form showing errors or a sudden drop in completed sign ups.
H04

Budget overspend and attribution errors

Financial Before 12 After 4

Spend drifts above the approved budget through extra vendor work and unplanned media, and results are credited to the wrong channel, so the team funds the wrong activity and reports false returns.

Who or what is affected: Finance business partner, marketing director and brand board

Causes

Scope creep, several attribution models in use and reliance on platform reporting alone.

Consequences

Overspend, poor allocation decisions and misreported return on investment.

Existing controls

  • Purchase orders are needed above a set value.
  • A monthly budget report goes to the marketing director.

Control gaps

Attribution models are not agreed and change requests are approved after the work has started.

Additional controls

  • Prevent: Cap media budgets in the ad platform and require change approval for every extra vendor order.
  • Detect: Compare platform spend and attribution with the finance ledger each week.
Likelihood 4 x impact 3 before; 2 x 2 after Owner: Finance business partner Target: Within 45 days Early warning: A vendor change request raised after the work has already started.
H05

Fraudulent traffic and fake leads

Financial Before 9 After 4

Bots, click farms or fake sign ups inflate reach and lead counts, so budget is paid for traffic that never reaches real guests and sales forecasts are built on false demand.

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

Causes

Pay per click buying, incentives for sign ups and weak verification on the form.

Consequences

Wasted spend, inflated pipeline, poor sales follow up and inaccurate reports.

Existing controls

  • Ad platform bot filters are switched on.
  • Duplicate email addresses are removed from lead lists.

Control gaps

Invalid traffic reports are not reviewed by anyone and form verification is optional.

Additional controls

  • Detect: Flag leads with disposable email domains, repeated devices or very fast form completion.
  • Respond: Request refunds or credits from the platform for invalid traffic and pause the source.
Likelihood 3 x impact 3 before; 2 x 2 after Owner: Campaign manager Target: Within 60 days Early warning: Leads with repeated identical details or sudden spikes from one source.
H06

Influencer and vendor brand harm and rights breaches

Reputational Before 12 After 6

An influencer, host or vendor posts off brief content, uses music, images or logos without rights, or behaves badly at an event, so the brand is linked to copyright claims, offense or public disputes.

Who or what is affected: Brand, guests, creators and vendor partners

Causes

Fast content turnaround, creators using unlicensed material and weak onboarding of hosts.

Consequences

Takedown demands, infringement claims, public criticism and loss of trust.

Existing controls

  • Influencers sign a brief with approved messages.
  • Vendors sign a contract with a conduct clause.

Control gaps

Some creators are approved only after posting, and licence records are not stored.

Additional controls

  • Prevent: Clear every music, image and font licence and keep proof before publication.
  • Respond: Hold a takedown and statement plan for off brief content and agree a response owner.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Partnerships manager Target: Within 45 days Early warning: Content posted that does not match the approved brief or uses unlicensed material.
H07

Platform and vendor dependency

Supplier Before 9 After 4

The campaign relies on one platform, one agency or one booking tool, and a policy change, outage or contract dispute stops ads, registration or content delivery at short notice.

Who or what is affected: Campaign team, agency partners and guests

Causes

Heavy reliance on one supplier, contracts that do not cover outages and platform policy changes.

Consequences

Lost reach, missed registrations, unplanned costs and disputes.

Existing controls

  • The agency contract includes service levels.
  • Core assets are stored in the brand's own library.

Control gaps

Backup routes are not tested and contract exit terms are unknown.

Additional controls

  • Prevent: Spread paid reach across two platforms and keep a registration route that does not depend on one tool.
  • Recover: Agree a backup channel and a rescheduling plan with the agency for each event.
Likelihood 3 x impact 3 before; 2 x 2 after Owner: Marketing operations lead Target: Within 60 days Early warning: Service outage notices or policy warnings from a main platform or vendor.
H08

Account compromise of paid and social accounts

Technology and data Before 15 After 8

Paid media, social or email accounts are taken over through phishing or reused passwords, so ads are changed, guest lists are exported and false messages are sent in the brand's name.

Who or what is affected: Guests, followers, leads and brand staff

Causes

Phishing messages, shared logins for agency staff and weak recovery settings.

Consequences

False messages, data loss, brand damage and regulator attention.

Existing controls

  • Accounts are held by named staff with unique logins.
  • Staff are reminded not to share passwords.

Control gaps

Agency users keep access after projects end and export rights are not limited.

Additional controls

  • Prevent: Enable multi-factor sign in and a password manager for every paid and social account.
  • Detect: Alert on new logins, permission changes and exports from ad and email tools.
  • Recover: Test account recovery with each platform and keep a written takeover response plan.
Likelihood 3 x impact 5 before; 2 x 4 after Owner: IT lead Target: Within 14 days Early warning: Login alerts, password reset requests or new vendor access granted outside a ticket.

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, covering money lost, legal exposure, harm to guests or data subjects, time to correct and damage to brand trust. Multiplying the two gives a score from 1 to 25 in 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 orders work and is not a precise measurement. Inherent risk is the score before any controls. Residual risk is the score after existing and added controls, and it must never be higher than the inherent score. Where inherent risk is 10 or more, the residual score must be lower. Critical and High risks need a senior owner and a dated plan before launch. Medium risks need routine controls and a named owner. Low risks are accepted and monitored. Ratings are challenged in a short review where the event lead, the data analyst and a legal adviser test each score against what happened in past campaigns, and any rating that cannot be explained is changed. Ratings are revisited whenever a monitoring indicator reaches its escalation point.

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 6 months, and sooner when an indicator below reaches its threshold.

Early-warning indicators and escalation thresholds
Indicator to watchEscalate when
Claims published without a recorded substantiation sign off.Escalate to the brand lead at once and withdraw the content until it is approved, with the legal adviser informed within one working day.
Lead forms or contact imports with missing or expired consent records.Escalate to the data analyst when any are found, and to the data protection lead if personal data was used for marketing without consent.
Spend running more than 10 percent above the weekly plan, or conversions with no matching click or visit.Escalate to the campaign manager the same day, and to the finance business partner if the gap persists for three days.
Leads with repeated identical details, sudden spikes from one source or very short form completion times.Escalate to the data analyst when a source exceeds the agreed threshold, and pause that source pending review.
Login alerts, password reset requests or new vendor access granted outside a ticket.Escalate to the IT lead immediately, and to the marketing director if access to a paid account is not confirmed within 24 hours.

Contingency arrangements

If a serious event occurs, such as a false claim published in error, a data incident or a paid account taken over, the campaign manager pauses related posts, ads and lead forms within the hour and records the evidence. The data analyst preserves logs and isolates affected contact lists. The IT lead resets credentials and revokes vendor access. The legal adviser decides on corrections and any notice to affected people, and the brand lead informs the marketing director. Budget is held in reserve so affected spend can be reviewed without new commitments.

Prioritized action plan

  1. Introduce a claims and substantiation sign off for every piece of copy and creative, owner brand lead, within 30 days.
  2. Add a consent check at every lead capture point and purge records without consent, owner data analyst, within 30 days.
  3. Enable multi-factor sign in on all paid media and social accounts and review shared logins, owner IT lead, within 14 days.
  4. Set a weekly budget and attribution review with a documented tolerance, owner campaign manager, within 45 days.
  5. Require a written brief and disclosure rules for influencers and vendors, owner partnerships manager, within 60 days.

Conclusion

Successful events and campaigns depend on a few steady habits: a claims sign off before any copy goes live, consent checked at every point where data is captured, budget and attribution reviewed weekly, traffic and lead quality checked against past patterns, and strong account security with clear vendor access. The highest scores sit with misleading claims and privacy, and each has controls that bring residual risk down. Treat the register as a working record, review it on the stated cycle and seek qualified legal advice on any real advertising, privacy or promotion question.

Assumptions and limitations

Assumptions

  • The brand operates in one jurisdiction whose advertising and privacy rules apply, and those rules are not named here.
  • Guests and leads are adults who can give or withdraw consent, and the team holds a consent record for each contact.
  • Agencies, influencers and platform accounts are managed through shared tools with individual logins.
  • Budget is set in advance and approved by a finance business partner before any commitment.

Limitations

  • The scores are examples for learning and do not describe any real brand, event or campaign.
  • Advertising, privacy and promotion rules differ by country and change over time, so specialist legal review is needed.
  • This is educational content and does not replace a formal site-specific assessment or licensed legal or regulatory advice.

Related frameworks to study

  • Risk register with likelihood and impact scoring
  • Three lines model of risk ownership
  • Privacy by design and data minimization principles
  • Hierarchy of controls

Marketing Risk Assessment

China, India, United States, Indonesia, Pakistan, Nigeria, Brazil, Bangladesh, Russia, Japan, Mexico, Philippines, Vietnam, Egypt, Turkey, Germany, United Kingdom, France, Italy, Canada, South Korea, Australia, Spain.

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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