Marketing specialist responsibilities: importance & daily work
A list of daily duties can be a useful starting point for a marketing role. An expert task catalog lets us see how that starting point compares with one built around importance.
US occupational task estimates from the O*NET® 31.0 database, updated August 2026. Analysis completed October 26, 2026.
Abstract
Importance & daily frequency brought different responsibilities to the front of the same marketing task catalog. Using published expert ratings, we built two lists: one based on importance & one on daily-or-more frequency. The importance list contained 5 tasks & the frequency list 6, after we preserved a tie at the fifth position. Four responsibilities appeared in both; 7 appeared in either list.[1][3]
Research on consumer opinions & marketing strategies appeared only in the importance list. Competitor analysis & industry monitoring appeared only in the daily-frequency list. The estimates describe expert judgments for the US occupation Market Research Analysts and Marketing Specialists. Our lists offer two starting points for reviewing a brief; they are not an official job description. A business still needs to name the responsibilities its decision requires, then agree the inputs, output & owner. The complete task tables, fictional example & copyable worksheet below help make that discussion concrete.
Imagine a business hiring a marketing coordinator before a new campaign. Its draft brief says “prepare the marketing report.” That sounds like a deliverable someone can own. Yet the phrase leaves several decisions open: who gathers the information, who chooses the comparison & who explains what the results mean?
Adding more daily duties would make the list longer without necessarily answering those questions. The business needs to describe the work clearly enough that a colleague or agency can accept it, ask for missing inputs & return something useful.
We explored one part of that problem using the published expert task estimates for a broader US marketing occupation. “Marketing Coordinator” appears in the database’s alternate job-title file through an employer-posting linkage. That makes it a recognizable entry point, but the estimates describe the named occupation, not every role using that title.[2]
One catalog, two ways to choose a starting point

Two questions produce two starting lists
The catalog asks two separate questions: how important is a task, & how often is it done? We used each task’s published importance mean on the original 1–5 scale. For frequency, we added the published percentages for daily, several times daily & hourly-or-more responses. We call that sum daily-or-more frequency.[1]
The frequency percentage concerns expert responses to that task item. It is not the percentage of marketing employees doing the task each day, nor the share of a working day spent on it. Experts assess work typical of the occupation; they are not supplying a diary of observed shifts.
For each measure, we selected every task at or above the fifth-highest published score. Keeping exact ties mattered: reporting & competitor analysis both had a daily-or-more score of 16.67%, so both entered that list. We did not choose between them to force an exactly five-task result.[3]
These are two explicit ways to begin a discussion about scope. The database does not prescribe our list length or recommend building a role brief by either rule. Comparing them shows which responsibilities the rules bring forward, while the complete catalog remains available for the actual business decision.
Research appeared only in the importance list
The clearest difference concerned research on consumer opinions & marketing strategies, including collaboration with other professionals. Its importance mean was 3.94, above our importance cutoff of 3.85. Its daily-or-more frequency score was 12.50%, below the other list’s 16.67% cutoff.
Competitor analysis went the other way. Gathering & analyzing information about competitors had an importance mean of 3.65, placing it outside the importance list. Its 16.67% daily-or-more score put it inside the frequency list, with the tie preserved.
Industry monitoring also appeared only in the frequency list. Following industry statistics & trade literature had a daily-or-more score of 35.29% & an importance mean of 3.53. Those values describe two different questions; a percentage & a rating on a 1–5 scale cannot be compared as though they shared one unit.
The two frequency-list tasks also call for different kinds of evidence. Industry monitoring follows statistics & trade literature. Competitor analysis looks at other businesses’ prices, sales, marketing & distribution. A brief that says “watch the market” leaves the choice of evidence open, even before anyone starts collecting it. The task descriptions give an owner a way to separate those assignments.
For example, a business could name the industry series or publications it wants reviewed, then define a separate competitor comparison using information it can actually obtain. The brief can ask which facts are visible, which need a source & which remain unknown. That is a planning choice for the business, not an outcome measured by these ratings. It helps turn the two source responsibilities into assignments with different inputs & usable outputs, rather than two vague lines on the same to-do list.
For an agency or business owner, this is a prompt to be specific. A brief asking someone to monitor the market does not, by itself, establish who will design customer research, work with a specialist or turn that research into a recommendation. If those outcomes are needed, name them rather than assuming they are covered by a recurring activity.
The table shows every task that appeared in either list. “Outside list” means only that the published score fell below our selected cutoff. It does not mean that the responsibility is unnecessary, poorly performed or unsuitable for your business.
Seven responsibilities appeared in either starting list
Published expert item estimates for the same marketing occupation. Included/Outside list refers only to our fifth-position rule, with every exact tie included. Importance & percentage frequency have different units.
| Responsibility | Importance mean (1–5) | Daily-or-more expert responses |
|---|---|---|
| Analyze customer information | 3.88Included | 27.79%Included |
| Prepare reports of findings | 4.06Included | 16.67%Included |
| Inform the business’s market position | 4.06Included | 22.22%Included |
| Research consumer opinions & marketing strategies | 3.94Included | 12.50%Outside list |
| Analyze competitors | 3.65Outside list | 16.67%Included |
| Monitor industry statistics & trade literature | 3.53Outside list | 35.29%Included |
| Choose data-collection methods or obtain data | 3.85Included | 21.43%Included |
Keep the full catalog beside the shortlist
A shortlist leaves things out by construction. The full 13-task table includes responsibilities that neither starting list selected, such as measuring customer & employee satisfaction, forecasting marketing & sales trends, & assessing the effectiveness of marketing programs.
Campaign-effectiveness measurement is a useful example. Its importance mean was 3.36, & its published daily-or-more score was 0%. Neither value establishes that a business can do without measurement. If the role is expected to explain a campaign’s results, that outcome belongs in its brief regardless of whether it entered our illustrative list.
A zero in those frequency categories is a reported item estimate. It does not show that marketing employees never perform the work, or that it should happen daily. The business still needs to decide when its own review will be useful, using the campaign & available evidence.
The source labels 11 tasks Core & 2 Supplemental. We retained both categories. Those labels are preserved as source context, rather than turned into our own rule for excluding work. The table also shows separate response counts for importance & frequency, because the counts can differ for the same task.[4]
For a small business, using the catalog can mean deciding what belongs elsewhere. Some questions may be answered with existing customer information, while others require a separate research assignment. The data-collection task explicitly allows obtaining existing data. A useful brief can therefore name the available evidence & the person who will check its suitability, without turning every report into a new survey or treating every source task as a requirement.
The complete 13-task catalog
Every source task is retained, including 11 Core & 2 Supplemental labels. Importance & frequency have separate item response counts. Rows follow Task ID, not rank.
View all 13 tasks, source descriptions & response counts
| Responsibility | Importance mean (1–5) | Daily-or-more expert responses | Importance item N | Frequency item N |
|---|---|---|---|---|
| Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand. (Core) | 3.88Included at the published score & throughout the authored score scenario | 27.79%Included at the published score & throughout the authored score scenario | 17 | 18 |
| Prepare reports of findings, illustrating data graphically and translating complex findings into written text. (Core) | 4.06Included at the published score & throughout the authored score scenario | 16.67%Included at the published score; can leave under the authored score scenario | 17 | 18 |
| Measure and assess customer and employee satisfaction. (Core) | 3.62Outside at the published score & throughout the authored score scenario | 6.25%Outside at the published score & throughout the authored score scenario | 16 | 16 |
| Forecast and track marketing and sales trends, analyzing collected data. (Core) | 3.12Outside at the published score & throughout the authored score scenario | 12.50%Outside at the published score & throughout the authored score scenario | 16 | 16 |
| Seek and provide information to help companies determine their position in the marketplace. (Core) | 4.06Included at the published score & throughout the authored score scenario | 22.22%Included at the published score & throughout the authored score scenario | 18 | 18 |
| Measure the effectiveness of marketing, advertising, and communications programs and strategies. (Core) | 3.36Outside at the published score & throughout the authored score scenario | 0.00%Outside at the published score & throughout the authored score scenario | 14 | 14 |
| Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals. (Core) | 3.94Included at the published score & throughout the authored score scenario | 12.50%Outside at the published score & throughout the authored score scenario | 16 | 16 |
| Attend staff conferences to provide management with information and proposals concerning the promotion, distribution, design, and pricing of company products or services. (Supplemental) | 3.45Outside at the published score & throughout the authored score scenario | 0.00%Outside at the published score & throughout the authored score scenario | 11 | 11 |
| Gather data on competitors and analyze their prices, sales, and method of marketing and distribution. (Core) | 3.65Outside at the published score & throughout the authored score scenario | 16.67%Included at the published score; can leave under the authored score scenario | 17 | 18 |
| Monitor industry statistics and follow trends in trade literature. (Core) | 3.53Outside at the published score & throughout the authored score scenario | 35.29%Included at the published score & throughout the authored score scenario | 17 | 17 |
| Devise and evaluate methods and procedures for collecting data, such as surveys, opinion polls, or questionnaires, or arrange to obtain existing data. (Core) | 3.85Included at the published score & throughout the authored score scenario | 21.43%Included at the published score & throughout the authored score scenario | 13 | 14 |
| Develop and implement procedures for identifying advertising needs. (Supplemental) | 2.86Outside at the published score & throughout the authored score scenario | 0.00%Outside at the published score & throughout the authored score scenario | 14 | 15 |
| Direct trained survey interviewers. (Core) | 3.36Outside at the published score & throughout the authored score scenario | 14.29%Outside at the published score & throughout the authored score scenario | 14 | 14 |
A small score movement changes the boundary
Reporting & competitor analysis sit exactly on the daily-list boundary in the published values. We therefore checked a separate, deliberately small score-movement scenario: importance scores could move by 0.01 in either direction within the 1–5 scale, & daily ranking scores by 0.03 percentage points in either direction.[5]
All 5 importance-list tasks remained included throughout that exercise. In the daily list, customer analysis, market-position information, data-collection methods & industry monitoring remained included throughout. Reporting & competitor analysis remained possible members, but either could fall below the boundary under an allowed movement.
That check describes the behavior of our selection rule. The movements are authored scenarios, not estimates of the producer’s rounding error or confidence intervals around true priorities. The primary comparison remains the published-score result: 4 shared tasks among 7 in either list. The exercise gives a reason to avoid treating a cutoff as a hard boundary in a job description.
Turn “prepare the report” into a usable responsibility
Consider a fictional training business preparing a course campaign. The owner asks a marketing coordinator to prepare a report after the campaign closes. This example is a practical application, not an observed employer or a process tested by the dataset.[7]
The first version of the brief reads: “Prepare the campaign report.” A more useful version names the decision: “Help us decide which course questions the next campaign should answer.” That gives the report a purpose without promising that the available data can explain every booking.
The coordinator’s input is the existing campaign report, the approved definitions of its measures & a record of relevant offer changes. The owner supplies the business context & confirms access. Nobody is expected to infer sales from a visible interaction count or quietly change tracking to make the assignment possible.
The agreed output is a short explanation of what the available evidence shows, which questions remain open & what the owner could review next. The owner accepts the result & chooses the next action. In this fictional arrangement, a recommendation is part of the deliverable; authority to change the offer remains with the owner.
If an input is missing, the handoff records what is missing & who can supply it. If the available measures cannot answer the original question, the coordinator explains the narrower question they can answer. That is different from filling the report with whatever numbers are easiest to retrieve. The example makes the acceptance criteria visible before the owner judges whether the work is complete.
Report preparation & campaign-effectiveness measurement are separate source tasks. The example connects them because this business needs both. It does not turn their ratings into a recommended schedule or prove that one person should perform every step. If specialist research is required, the brief can name that dependency rather than bury it inside “reporting.”
Copy this role-brief worksheet
Use these fields in your existing brief or project document. They are available here without a sign-up. Complete them for the work your business actually needs; they are our planning aid, not an official occupational standard or a tested intervention.[7]
Purpose: [The business question this responsibility should help answer.] Role scope: [What this person or agency will deliver, & what remains with someone else.]
Responsibility: [Describe the work in plain language.] Source reference, if useful: [The task description or ID that prompted the discussion.] Business reason: [Why the output matters here, or why this responsibility is outside the agreed role.]
Inputs: [Information, definitions, materials & access needed.] Input owner: [Who supplies or confirms each item.] Missing input: [What must be resolved before the work can proceed.]
Output: [What the next person should receive & understand.] Person doing the work: [Who prepares it.] Decision owner: [Who accepts the result or decides the next action.] Handoff: [Where the work & relevant context will be kept.]
Review point: [The event or date that makes sense for this business.] Revisit when: [A change in scope, offer, evidence or available capacity.] Keep any hours or cadence explicitly identified as local planning assumptions, rather than figures inferred from the expert ratings.
A creator hiring part-time help can use the same fields for an agreed marketing assignment. Keep the actual scope clear: the catalog does not establish what every creator needs, or which responsibilities must be hired out. The worksheet can record an exclusion just as clearly as an assigned task.
The ZIP contains the source extract, calculation method & role-brief worksheets. No sign-up is required.
How we compared the expert task estimates
We used the 31.0 database’s complete 13-task catalog for Market Research Analysts and Marketing Specialists, occupation 13-1161.00. The focused estimates are labeled Occupational Expert & updated 08/2026. August 2026 is the source update month, not an established fieldwork date.[1][6]
The currently linked public expert questionnaire asks about work typical of the occupation. A not-relevant response skips the subsequent frequency & importance questions. Published item counts ranged from 11 to 18, & importance & frequency counts sometimes differed. These are separate item estimates, not individual-level records showing how the same people combined importance & frequency judgments.[4]
We summed the published daily, several-times-daily & hourly-or-more category values exactly, without renormalizing the seven frequency percentages. Each list used the fifth-highest score with every exact tie included. We fixed that comparison before reading the numerical values; we did not search other occupations, list lengths or task subsets for a more interesting result.[3]
The full frequency table preserves all 7 categories for all 13 tasks. Source suppression recommendations were not supplied for the focused ratings, so their state remains unknown. We did not estimate confidence intervals, test statistical significance or establish a true priority order. The small score-movement exercise has its separate, limited interpretation.[4][5]
All seven frequency categories remain available
Published expert task-item percentages, with each item’s response count shown in the complete ratings table. These categories describe typical-occupation judgments, not tracked workdays or hours.
View every frequency category for all 13 tasks
| Responsibility | Yearly or less | More than yearly | More than monthly | More than weekly | Daily | Several times daily | Hourly or more |
|---|---|---|---|---|---|---|---|
| Analyze customer information | 0.00% | 33.33% | 16.67% | 22.22% | 16.67% | 5.56% | 5.56% |
| Prepare reports of findings | 11.11% | 11.11% | 38.89% | 22.22% | 16.67% | 0.00% | 0.00% |
| Assess customer & employee satisfaction | 25.00% | 31.25% | 18.75% | 18.75% | 6.25% | 0.00% | 0.00% |
| Forecast marketing & sales trends | 18.75% | 43.75% | 12.50% | 12.50% | 12.50% | 0.00% | 0.00% |
| Inform the business’s market position | 5.56% | 33.33% | 27.78% | 11.11% | 11.11% | 11.11% | 0.00% |
| Assess campaign & program effectiveness | 28.57% | 21.43% | 21.43% | 28.57% | 0.00% | 0.00% | 0.00% |
| Research consumer opinions & marketing strategies | 0.00% | 31.25% | 25.00% | 31.25% | 6.25% | 6.25% | 0.00% |
| Present product & service proposals to management | 27.27% | 27.27% | 36.36% | 9.09% | 0.00% | 0.00% | 0.00% |
| Analyze competitors | 11.11% | 38.89% | 11.11% | 22.22% | 11.11% | 5.56% | 0.00% |
| Monitor industry statistics & trade literature | 5.88% | 35.29% | 11.76% | 11.76% | 23.53% | 11.76% | 0.00% |
| Choose data-collection methods or obtain data | 14.29% | 21.43% | 35.71% | 7.14% | 14.29% | 7.14% | 0.00% |
| Develop procedures to identify advertising needs | 33.33% | 20.00% | 40.00% | 6.67% | 0.00% | 0.00% | 0.00% |
| Direct trained survey interviewers | 21.43% | 42.86% | 21.43% | 0.00% | 14.29% | 0.00% | 0.00% |
Write the next brief around the decision
The two starting lists shared 4 responsibilities, but they were not interchangeable. Research appeared only in the importance list, while competitor analysis & industry monitoring appeared only in the daily list. Reading the complete catalog makes those differences visible without making either list the answer for every employer.
For your next brief, choose the business decision first. Then name the responsibility, its inputs, the output & the person who will decide what follows. A title or a recurring-task list can begin that conversation; the finished brief should make the expected work understandable to the people doing it.
Sources & notes
- Source: O*NET® 31.0 database, US Department of Labor, Employment and Training Administration. We used Task Ratings, Task Statements, Task Categories, Occupation Data, Job Titles & Scales Reference for occupation 13-1161.00, Market Research Analysts and Marketing Specialists. All 13 Task IDs, 5433–5445, were retained. Focused estimates are labeled Occupational Expert with update 08/2026; that is not a verified fieldwork date. Influence IQ completed the comparison on October 26, 2026.
- The Job Titles file links “Marketing Coordinator” to occupation 13-1161.00 with Source(s)=10, the producer code for employer job postings. This is an alternate-title linkage, not a representative sample of every job using the title. The numerical estimates belong to the named occupation.
- Authored comparison: rank the published importance means & exact sums of frequency categories 5–7 separately. Include every score at least as high as the fifth-highest score. The importance cutoff, 3.85, gives 5 tasks. The daily-score cutoff, 16.67, gives 6 tasks, preserving the tie between 5434 & 5441. Shared IDs: 5433, 5434, 5437, 5443. Union IDs: 5433, 5434, 5437, 5439, 5441, 5442, 5443. Shared/union = 4/7, displayed as 57.1%. The denominator is tasks in either constructed list, not all 13 tasks or respondents. The list length & overlap measure are not producer recommendations.
- The current public occupational-expert form describes relevance routing followed by frequency & importance. Its blank Version 506C cover shows a 2024 expiration, so it does not establish the exact form administered for these updated estimates. Item Ns range from 11 to 18. The frequency N repeats across categories for one task; it is not added across them. Recommend Suppress cells are absent, meaning not supplied/unknown. Seven-category totals passed the frozen ±0.07 percentage-point structural tolerance without renormalization. No individual-level joint, work-hours estimate, confidence interval or true priority ranking was inferred.
- Separate authored scenario: importance scores vary independently by ±0.01, clipped to 1–5; daily ranking scores vary by ±0.03 percentage points, without clipping the ranking interval. A task is possible when at most 4 other lower bounds exceed its upper bound, & guaranteed when at most 4 other upper bounds exceed its lower bound. Equality does not outrank. All 5 importance members are guaranteed. The daily possible set matches the 6 primary members; 5433, 5437, 5442 & 5443 are guaranteed. These are score scenarios, not producer rounding bounds, sampling confidence or probabilities. The primary 4/7 result is unchanged; no overlap uncertainty interval was constructed.
- Existing context: a 2022 UIC workforce handout placed importance & coarse frequency labels together for 5 Public Relations Specialists tasks using an earlier database release. That is prior use of the general comparison, not this complete 13-task, tie-inclusive result for 13-1161.00. The producer publishes the underlying task measures.
- The training business, report assignment, division of responsibilities & worksheet are fictional teaching applications by Influence IQ. They are not source employers, measured interventions, staffing recommendations or evidence that the suggested process improves results.
- Adapted from the O*NET® 31.0 database under the Creative Commons Attribution 4.0 International license (CC BY 4.0). Influence IQ created the selection rules, comparison, task-label summaries, interpretation & worksheet. Full task descriptions are attributed source material. The modified material has not been approved, endorsed or tested by the US Department of Labor, Employment and Training Administration. O*NET® is a trademark of the US Department of Labor, Employment and Training Administration.
This article describes a US occupational task catalog. Translating it does not create findings about another country’s jobs. Influence IQ is responsible for the comparison, interpretation & practical worksheet.
