vaayaa Inclusive Education
Marketing risk assessment

Search Engine Marketing and Paid Search Risk Assessment: Account, Claims, Spend and Privacy Controls

A worked example of how a paid search team finds, scores and controls the risks that threaten brand trust, budgets, account security, privacy compliance and the accuracy of campaign results.

Updated November 2026 8 hazards assessed Review every 3 months Highest risk: Critical to Medium
See the Search Engine Marketing and Paid Search course

Executive summary

This assessment shows how a paid search team can find, rate and control the risks that matter most to its brand, budget, customers and the accuracy of its results. Eight risks were chosen because they are plausible in everyday search advertising work. Privacy and consent breaches carry the highest impact and remain the most serious after controls, so they receive the earliest attention. Misleading claims, account compromise and attribution errors are also common and need steady checks. Each risk is scored before controls and again after existing and added controls. Most risks fall to Medium or Low once the added controls are in place. The first actions are a claims library, multi-factor sign in, a consent audit and a monthly conversion reconciliation. The business is a teaching example, so every score illustrates method rather than a real organization.

Focus area
Search engine marketing and paid search
Setting
Marketing team of a mid-sized online retailer that runs paid search campaigns across several search platforms with agency support
Method
Five by five likelihood and impact risk register

Scope

This assessment covers paid search campaigns from keyword research and ad creation through bidding, budget control, conversion tracking, reporting and optimization. It considers risks to brand reputation, spend, account security, customer data, advertising compliance and campaign performance. It does not cover organic search optimization, social advertising or the legal position of any real business. Jurisdiction, platform choice, team size and agency terms are assumptions made for teaching and are not specified.

Context

The team has a search marketing manager, two campaign specialists, an analytics lead and an external agency that manages some bidding. Campaigns are run in ad platforms connected to a website, a tag manager, a customer data platform and spreadsheets used for budget tracking. Ads promote products, seasonal offers and a loyalty scheme. Each risk is scored before controls to show its natural level, then again after the existing controls and the additional controls that should be added. Scores are teaching examples, not measurements of any real account.

Objectives, assets and stakeholders

The objective is to run paid search campaigns that are truthful, secure, lawful and efficient, and that produce results the business can trust. The assets in scope are advertising budgets, ad accounts and login credentials, conversion data and customer lists, the brand name and trademarks, and the website tags that feed campaign data. Stakeholders include the marketing team, the finance team, the data protection lead, the brand owner, the external agency, customers, partners and the leadership team. Clear roles matter: each risk has one owner role, and the search marketing manager reports the register 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 2, score 8, medium: H06 Likelihood 4, impact 3, score 12, high: H03 H04 Likelihood 4, impact 4, score 16, high: H01 Likelihood 4, impact 5, score 20, critical: H05
3 Possible Likelihood 3, impact 4, score 12, high: H07 H08 Likelihood 3, impact 5, score 15, high: H02
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 1, score 3, low: H06 Likelihood 3, impact 2, score 6, medium: H04
2 Unlikely Likelihood 2, impact 2, score 4, low: H03 Likelihood 2, impact 3, score 6, medium: H01 H02 H07 H08 Likelihood 2, impact 4, score 8, medium: 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 ad claims and non-compliant copy 16 High 6 Medium Search marketing manager
H02 Account compromise and unauthorized changes 15 High 6 Medium Analytics lead
H03 Budget overspend from bidding and misconfigured campaigns 12 High 4 Low Campaign specialist
H04 Attribution errors and misleading performance reporting 12 High 6 Medium Analytics lead
H05 Privacy, consent and targeting breaches 20 Critical 8 Medium Data protection lead
H06 Fraudulent clicks and fake leads 8 Medium 3 Low Campaign specialist
H07 Trademark misuse and brand harm from keyword bidding 12 High 6 Medium Brand manager
H08 Platform, agency and vendor dependency 12 High 6 Medium Marketing director
H01

Misleading ad claims and non-compliant copy

Legal and compliance Before 16 After 6

Ad text overstates prices, discounts, delivery times or product benefits, or makes comparative claims that cannot be evidenced, so ads are disapproved, withdrawn or challenged by regulators.

Who or what is affected: Customers, the marketing team and the brand owner

Causes

Fast copy changes at peak seasons, reliance on templates and limited review capacity.

Consequences

Ad disapprovals, account suspension, complaints and possible regulatory action.

Existing controls

  • Ad copy is reviewed by a campaign specialist before launch.
  • Offers are checked against the current price list each week.

Control gaps

Evidence for comparative claims is stored in email threads rather than in a shared library.

Additional controls

  • Prevent: Maintain an approved claims library with evidence links for every product and offer before ad copy is written.
  • Detect: Run a weekly sample check of live ads against the claims library and log any mismatch.
  • Respond: Pause any ad group with an unverified claim within one working day and record the corrective action.
Likelihood 4 x impact 4 before; 2 x 3 after Owner: Search marketing manager Target: Within 30 days Early warning: More than two ad disapprovals or complaints about claims in a single month.
H02

Account compromise and unauthorized changes

Technology and data Before 15 After 6

Shared or weak credentials, phishing and over-broad agency access allow an outsider or an unauthorized user to change bids, budgets, landing pages or billing details without detection.

Who or what is affected: Account owners, customers whose data is exposed and finance staff

Causes

Phishing emails, reused passwords and access granted to agency staff who have left the project.

Consequences

Budget loss, malicious landing pages, data exposure and damage to customer trust.

Existing controls

  • Individual user accounts are used for internal staff.
  • Billing changes require a manager approval by email.

Control gaps

Access reviews happen only when a contract ends, and change logs are not reviewed.

Additional controls

  • Prevent: Enforce multi-factor sign in for every user and remove shared logins within two weeks.
  • Detect: Review the change history of the account every week and flag edits made outside working hours.
  • Recover: Keep a documented procedure to lock the account, reset access and restore settings from a saved snapshot.
Likelihood 3 x impact 5 before; 2 x 3 after Owner: Analytics lead Target: Within 14 days Early warning: Login or setting changes from unknown devices or outside agreed working hours.
H03

Budget overspend from bidding and misconfigured campaigns

Financial Before 12 After 4

Automated bidding, broad match keywords or a wrong budget setting spend money quickly on low value clicks, so the monthly budget is exceeded before anyone sees the change.

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

Causes

Automated bid changes, broad match keywords and budget edits made in a hurry.

Consequences

Unplanned spend, lower return on investment and strained relations with finance.

Existing controls

  • Daily spend limits are set on each campaign.
  • A monthly budget plan is shared with finance.

Control gaps

Spend alerts go to one inbox that is not checked on weekends.

Additional controls

  • Prevent: Set a hard monthly ceiling per account and cap bids on any new keyword group before it goes live.
  • Detect: Compare daily spend with the forecast and alert the team when spend is more than 20 percent above plan.
  • Respond: Pause the affected campaign and agree a revised budget with finance within one working day.
Likelihood 4 x impact 3 before; 2 x 2 after Owner: Campaign specialist Target: Within 30 days Early warning: Daily spend more than 20 percent above the forecast for three days running.
H04

Attribution errors and misleading performance reporting

Operational Before 12 After 6

Conversion tags fire twice, are missing on some pages or credit the wrong channel, so reported returns are inflated or understated and budget decisions rest on false results.

Who or what is affected: Marketing leaders, the finance team and the board

Causes

Site changes that break tags, different attribution windows across platforms and manual copying of figures.

Consequences

Poor budget allocation, false confidence in campaigns and misleading reports to leaders.

Existing controls

  • Conversion tags are tested by the developer after each site release.
  • Monthly reports compare platform results with web analytics.

Control gaps

No one reconciles platform conversions with orders, so duplicates are found only by chance.

Additional controls

  • Prevent: Use one approved tag set and a written attribution rule for each campaign type.
  • Detect: Reconcile platform conversions with order records each month and log differences above five percent.
  • Respond: Hold budget changes based on the affected conversion data until the difference is explained.
Likelihood 4 x impact 3 before; 3 x 2 after Owner: Analytics lead Target: Within 45 days Early warning: Platform conversions differ from order records by more than five percent in a month.
H05

Privacy, consent and targeting breaches

Technology and data Before 20 After 8

Remarketing lists, customer uploads or sensitive categories are used without valid consent or outside the stated purpose, and personal data is shared with platforms in ways customers did not expect.

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

Causes

Unclear consent records, rapid audience building and pressure to improve targeting.

Consequences

Regulatory complaints, customer distrust and possible fines or orders to stop processing.

Existing controls

  • A cookie consent banner is shown on the website.
  • Customer lists are uploaded only by the analytics lead.

Control gaps

Consent records are stored in a separate system that marketing cannot query.

Additional controls

  • Prevent: Exclude sensitive audience categories and require a documented consent basis before any list is created.
  • Detect: Audit each audience list against consent records every quarter and remove unmatched entries.
  • Recover: Notify the data protection lead on discovery and stop use of the list until the lawful basis is confirmed.
Likelihood 4 x impact 5 before; 2 x 4 after Owner: Data protection lead Target: Within 30 days Early warning: An audience list with entries that cannot be matched to a valid consent record.
H06

Fraudulent clicks and fake leads

Financial Before 8 After 3

Bots, competitor click activity or fake form submissions consume budget and inflate lead numbers, so the team pays for traffic that never converts and forecasts are distorted.

Who or what is affected: Finance team, sales staff and the marketing team

Causes

Automated bots, competitor clicks and open forms without verification.

Consequences

Wasted spend, false lead counts and poor sales follow up.

Existing controls

  • Platform invalid click filters are switched on.
  • Lead forms include a basic spam check.

Control gaps

Lead quality is not checked against sales outcomes until the end of the quarter.

Additional controls

  • Prevent: Add a verified form check and block known suspicious traffic sources at the campaign level.
  • Detect: Review click quality and lead conversion rates each week and flag segments with no sales outcome.
Likelihood 4 x impact 2 before; 3 x 1 after Owner: Campaign specialist Target: Within 60 days Early warning: A rise in clicks with near zero conversions or repeated lead entries from one source.
H07

Trademark misuse and brand harm from keyword bidding

Reputational Before 12 After 6

Keywords that use competitor or partner brand names, or ads that imitate another brand, trigger complaints, removal of ads and damage to the company reputation.

Who or what is affected: Brand owners, partners, customers and the marketing team

Causes

Broad keyword lists, automated match types and weak review of search term reports.

Consequences

Ad removal, legal claims, damage to partner relations and public criticism.

Existing controls

  • A negative keyword list is maintained for obvious terms.
  • Brand names are checked during launch review.

Control gaps

Search term reports are reviewed only when a campaign is paused or results fall.

Additional controls

  • Prevent: Require legal clearance for any keyword that names a third party before it is added.
  • Detect: Search the trademark register and review search term reports each month for unexpected brand matches.
  • Respond: Remove the keyword and any related ad within one working day when a complaint is received.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Brand manager Target: Within 45 days Early warning: Search term reports showing third party brand names in ads that have not been cleared.
H08

Platform, agency and vendor dependency

Supplier Before 12 After 6

The business relies on one ad platform, one agency or one bid tool, so a policy change, price rise, outage or contract end leaves campaigns unmanaged and data hard to recover.

Who or what is affected: Marketing team, finance team and the business as a whole

Causes

Single platform reliance, contracts that do not cover data export and knowledge held by one agency.

Consequences

Lost history, service gaps during peak periods and higher costs to switch.

Existing controls

  • The agency contract includes a notice period and a service level.
  • Campaign structures are documented in a shared folder.

Control gaps

Campaign history is held mainly inside the agency account and is not exported.

Additional controls

  • Prevent: Keep a second trained user for every platform and agree data export rights in each contract.
  • Recover: Hold a monthly export of campaign settings and performance data to an internal store.
  • Respond: Maintain a written transition plan that names an interim manager if the agency stops work.
Likelihood 3 x impact 4 before; 2 x 3 after Owner: Marketing director Target: Within 90 days Early warning: Only one person can log in to the main account or export its data.

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 Catastrophic. 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 precise 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 considers money lost, customer harm, legal exposure, time to correct and damage to trust. A risk is never rated down only because it has not happened yet. Anything still High needs senior attention and a dated plan, anything Medium needs routine controls with a named owner, and anything Low is accepted and watched. Team members who run campaigns should challenge the ratings, and each rating is reviewed whenever a warning indicator reaches its threshold.

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
Ad disapprovals or complaints about claims in a month.Escalate to the search marketing manager when more than two occur, and to the marketing director if a regulator contacts the business.
Login or setting changes made from unknown devices or outside working hours.Escalate to the analytics lead at once, lock the account and inform the marketing director within the hour.
Daily spend more than 20 percent above the monthly forecast.Escalate to the campaign specialist the same day, and to the finance lead if the overspend continues for three days.
Platform conversions differ from order records by more than five percent.Escalate to the analytics lead within two working days, and hold budget changes until the cause is found.
Audience list entries that cannot be matched to a valid consent record.Escalate to the data protection lead at once, and stop use of the list until the basis is confirmed.

Contingency arrangements

If a serious event occurs, such as a compromised account, a privacy complaint or a regulator query about an ad, the search marketing manager pauses the affected campaigns and preserves the records. The analytics lead locks the account and restores settings from the saved snapshot. The data protection lead decides whether personal data must be reported, and the brand manager handles any third party complaint. Finance is told of any spend outside plan, and the agency is asked to confirm its actions in writing. Customers and partners receive a short, plain account of what happened and what is being done.

Prioritized action plan

  1. Enable multi-factor sign in for all users and remove shared logins, owner analytics lead, within 14 days.
  2. Audit every audience list against consent records, owner data protection lead, within 30 days.
  3. Build a claims library with evidence links for each offer, owner search marketing manager, within 30 days.
  4. Set monthly budget ceilings and spend alerts routed to a staffed inbox, owner campaign specialist, within 30 days.
  5. Reconcile platform conversions with order records each month, owner analytics lead, within 45 days.

Conclusion

Reliable paid search depends on a few steady habits: a claims library with evidence, secure and individual accounts, consent checks before audiences are built, budget ceilings, monthly reconciliation of conversions and regular review of search terms. The highest scores sit with privacy, claims and account security, and each has actions that bring the residual score down. Treat the register as a living record, review it every quarter, and seek qualified legal and privacy advice for any real advertising, consent or trademark question.

Assumptions and limitations

Assumptions

  • The business sells products online to consumers and is subject to general advertising and privacy rules that apply in its jurisdiction, which is not specified.
  • Campaigns are managed through standard ad platform accounts with shared access for an agency and internal staff.
  • Conversion tracking relies on website tags and a customer data platform that are maintained by an in-house developer.

Limitations

  • The scores are examples for learning and do not describe any real business, account or campaign.
  • Advertising, consent and data protection rules differ by country and change over time, so specialist legal review is needed.
  • This is educational content and is not legal, privacy or financial advice, and it does not replace a formal site-specific assessment.

Related frameworks to study

  • Plain language advertising principles for truthful claims
  • Three lines model of risk ownership
  • Hierarchy of controls
  • Privacy by design principles

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.

Keep learning

Study the subject behind this assessment.

Search Engine Marketing and Paid Search course Read the best practices for this course

More Marketing risk assessments

Hourly Active: 39,499 Learners