Marketing-information Management (IM) performance indicators
101 performance indicators entries in the Marketing-information Management area of our Marketing study dataset.
| Code | Indicator |
|---|---|
| IM:012 | Explain the importance of collecting marketing data for decision‑making (CS) |
| IM:184 | Identify key data metrics monitored for marketing decisions (sales figures, website traffic, customer sentiment) (SP) |
| IM:001 | Define the scope and objectives of marketing‑information management (SP) |
| IM:025 | Explain ethical principles in managing marketing information (data privacy, consent) (SP) |
| IM:183 | Describe how technology (e.g., CRM, analytics software) supports marketing‑information management (SP) |
| IM:419 | Explain regulations governing marketing information (e.g., GDPR, CAN-SPAM) (SP) |
| IM:010 | Define the nature and process of marketing research (SP) |
| IM:282 | Discuss common marketing research problems and issues (SP) |
| IM:284 | Describe methods for designing effective marketing research studies (SP) |
| IM:281 | Explain various options for obtaining marketing research data (primary vs. secondary sources) (SP) |
| IM:285 | Discuss considerations when developing sampling plans (sample size, sampling frame) (SP) |
| IM:289 | Describe different data‑collection techniques (surveys, focus groups, observations) (SP) |
| IM:418 | Explain characteristics of effective data‑collection instruments (questionnaire design, validity, reliability) (SP) |
| IM:062 | Describe techniques for processing and cleaning marketing data (SP) |
| IM:469 | Monitor and measure customer “buzz” (social listening, sentiment analysis) (SP) |
| IM:191 | Explain how descriptive statistics (mean, median, mode) inform marketing decisions (SP) |
| IM:292 | Identify potential sources of error in marketing research (sampling bias, measurement error) (SP) |
| IM:293 | Evaluate the design of questionnaires for clarity and effectiveness (SP) |
| IM:428 | Assess whether proposed marketing research is appropriate for the business problem (SP) |
| IM:361 | Gather and analyze brand‑related information (market share, brand sentiment) (SP) |
| IM:323 | Conduct pre‑campaign testing (focus groups, A/B tests) to refine messaging (SP) |
| IM:410 | Track and measure the performance of promotional activities (reach, impressions, engagement) (SP) |
| IM:429 | Monitor competitors’ promotional efforts and benchmark against them (SP) |
| IM:468 | Analyze daily social‑media analytics to optimize content strategy (SP) |
| IM:430 | Monitor and manage the brand’s online reputation (SP) |
| IM:411 | Track emerging trends (social behaviors, buying patterns, agency practices) (SP) |
| IM:299 | Analyze customer behavior data (media consumption, purchase patterns) (SP) |
| IM:371 | Interpret qualitative research findings from interviews and focus groups (SP) |
| IM:470 | Track channel management cost data (distribution costs, margins) to inform decisions (SP) |
| IM:485 | Collect product quality data to support channel‑management decisions (SP) |
| IM:380 | Obtain and track information about domestic and international suppliers/manufacturers (SP) |
| IM:347 | Present marketing data in charts, graphs, or tables for decision‑making (SP) |
| IM:394 | Provide sales analysis reports to key stakeholders (SP) |
| IM:386 | Prepare and present findings using presentation software (PowerPoint, Keynote) (SP) |
| IM:390 | Draft written reports summarizing marketing data to inform decision‑making (SP) |
| IM:374 | Measure media audience metrics (reach, frequency, impressions) (SP) |
| IM:472 | Use data to recommend personalized, relevant marketing campaigns (SP) |
| IM:473 | Use data-driven insights to support real‑time customization of customer interactions (SP) |
| IM:381 | Obtain relevant information from customer databases for research purposes (SP) |
| IM:432 | Maintain up‑to‑date records of marketing partners’ activities and performance (SP) |
| IM:474 | Identify challenges associated with using unstructured data (social media comments, free‑text responses) (SP) |
| IM:382 | Gather marketing information from online sources (industry publications, digital analytics) (SP) |
| IM:433 | Conduct sentiment analysis to gauge customer attitudes and opinions (SP) |
| IM:434 | Obtain marketing information from print and digital publications (SP) |
| IM:311 | Collect product quality data to inform research objectives (SP) |
| IM:333 | Use web analytics tools to data‑mine clickstream data for marketing insights (SP) |
| IM:409 | Monitor external environmental changes (political, economic, social) that impact business (SP) |
| IM:379 | Track and analyze sales data to support marketing research (SP) |
| IM:368 | Identify transactional data obtained through electronic means (e‑commerce, POS systems) (SP) |
| IM:435 | Monitor competitors’ activities and strategies for research insights (SP) |
| IM:475 | Develop strategic insights by analyzing trends from other industries (SP) |
| IM:373 | Measure market size and composition using quantitative research methods (SP) |
| IM:359 | Explain the nature of actionable research and how it informs business decisions (SP) |
| IM:312 | Compare business objectives with expected uses of marketing research findings (SP) |
| IM:436 | Explain the sampling design process (defining population, sampling frame, methodology) (SP) |
| IM:478 | Describe the nature and importance of sample sources (panels, lists, probability frames) (SP) |
| IM:437 | Select appropriate sample sources for marketing research studies (SP) |
| IM:438 | Discuss sampling issues that arise in international marketing research (SP) |
| IM:439 | Explain probability and non‑probability sampling techniques (SP) |
| IM:440 | Discuss sampling considerations and challenges associated with Internet‑based sampling (SP) |
| IM:441 | Describe statistical concepts related to sampling (margin of error, confidence intervals) (SP) |
| IM:286 | Describe different types of rating scales used in surveys (Likert, semantic differential) (SP) |
| IM:450 | Apply techniques to increase participant cooperation and response rates (SP) |
| IM:297 | Administer questionnaires effectively to gather reliable data (SP) |
| IM:328 | Conduct telephone interviews to collect research data (SP) |
| IM:349 | Employ methods to track and assess ongoing consumer behavior (panel studies, diaries) (SP) |
| IM:463 | Test and compare research alternatives (SP) |
| IM:322 | Conduct in‑depth, one‑on‑one interviews (SP) |
| IM:348 | Edit and clean raw research data for analysis (SP) |
| IM:362 | Code research responses and categorize data for analysis (SP) |
| IM:451 | Apply methods to handle missing data in datasets (SP) |
| IM:318 | Conduct error detection and editing routines to ensure data accuracy (SP) |
| IM:452 | Transcribe recorded interviews and conversations accurately (SP) |
| IM:402 | Tabulate data in preparation for statistical analysis (SP) |
| IM:331 | Create data matrices to organize research data (SP) |
| IM:397 | Select and use appropriate data support systems (databases, software) (SP) |
| IM:304 | Analyze narrative text from qualitative sources (SP) |
| IM:400 | Set appropriate confidence levels when drawing statistical inferences (SP) |
| IM:404 | Test for relationships between variables (correlation, regression analysis) (SP) |
| IM:403 | Test for associations between categorical variables (chi‑square tests) (SP) |
| IM:405 | Test for significant differences between groups (t‑tests, ANOVA) (SP) |
| IM:412 | Use statistical inference techniques to make estimates or test hypotheses (SP) |
| IM:369 | Identify various modeling techniques (cluster analysis, factor analysis, regression models) (SP) |
| IM:308 | Apply mathematical modeling techniques to marketing data (SP) |
| IM:416 | Interpret descriptive statistics (mean, median, mode) for marketing decision‑making (SP) |
| IM:370 | Interpret correlation coefficients to understand variable relationships (SP) |
| IM:414 | Write an executive summary of research findings, highlighting key insights (SP) |
| IM:391 | Present research findings orally to stakeholders in a clear, engaging manner (SP) |
| IM:383 | Publish or post marketing research results electronically (dashboards, reports) (SP) |
| IM:392 | Pre‑test promotional campaigns to evaluate effectiveness before full launch (SP) |
| IM:375 | Measure response rates (survey, email, campaign) to gauge engagement (SP) |
| IM:313 | Conduct advertising tracking studies to monitor ad performance over time (SP) |
| IM:012 | Explain the scope and purpose of the marketing-information management function (CS) |
| IM:025 | Describe ethical responsibilities within marketing-information management (SP) |
| IM:184 | Explain how technology supports marketing information management (SP) |
| IM:285 | Describe techniques for collecting data in marketing research (SP) |
| IM:286 | Explain features of effective data-collection instruments (SP) |
| IM:350 | Explain methods for processing marketing data (SP) |
| IM:351 | Describe approaches for designing marketing research studies (SP) |
| IM:416 | Explain interpreting descriptive statistics for marketing decisions (SP) |
| IM:417 | Describe how descriptive statistics inform marketing decisions (SP) |
More Marketing areas
- Business Administration1 entries
- Business Law17 entries
- Channel Management17 entries
- Communication Skills51 entries
- Customer Relations16 entries
- Economics47 entries
- Emotional Intelligence54 entries
- Entrepreneurship4 entries
- Financial Analysis44 entries
- Human Resources Management5 entries
- Information Management46 entries
- Market Planning13 entries
About this study catalogue
This reference uses DecA(I)de's bundled deca-pis.json and
decaidevocab.json study datasets. Counts are entries, not unique
indicators or terms; the same item can appear in multiple groups. Code punctuation
and display formatting are normalized.
Personal Financial Literacy uses benchmark-style codes such as 4-1a,
distinct from business performance-indicator codes such as BL:003.
The bundled files do not include an edition, source-document citation or licensing
record. We have not verified every entry against current official wording.
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