Marketing manager: a plan held together from launch to results, with no re-keying between tools.
The marketing manager turns a brand strategy into concrete operations: launches, campaigns, promotions, partnerships. The week is split between preparation, managing agencies and reading results, and a good share of the time goes on gathering data spread across the CRM, media owners, the tills and spreadsheets. Automation gives that time back for the choices.
The role
Between management, product, sales and the agencies.
The marketing manager translates management’s objectives into a plan of operations, sets its messages and targets, and coordinates those who carry it out: agencies, communication, CRM, e-commerce, stores. They answer for the budget and must show what each operation has delivered. In a mid-sized company, they often look after several brands or several ranges with a small team.
Day to day
A typical day.
- MorningRead the results of running campaigns and adjust spend that drifts from the plan.
- MorningReview agency proposals and prepare feedback.
- MiddayCheck in with product on upcoming launches: dates, samples, visuals.
- AfternoonPrepare sales arguments and materials for the sales teams.
- AfternoonHave materials approved by legal or regulatory before release.
- End of dayUpdate the plan, the budget and the reporting for management.
The objectives
What the role is measured on.
- Brand awareness
- Campaign performance
- Budget adherence
- Launch success
- Market share
- New customer acquisition
Indicators are named, never quantified: levels depend on each company, and the diagnostic measures them.
Day to day
The problems that come up most.
Scattered results
Each media owner, each social network and each tool has its own dashboard; comparing channels takes exports and copy-pasting.
A budget tracked on the side
Agency commitments and invoices are tracked in a spreadsheet, and the gap with the accounts is discovered late.
Briefs rewritten every time
The same information on product, target and brand guidelines is copied into every brief, with the risk of an outdated version.
Approvals that drag on
Legal, regulatory, management: materials circulate by e-mail while the release date gets closer.
Poorly synchronised launches
Visuals, stock, product sheets and sales staff training are not ready at the same time.
Little time to analyse
Preparing the next operation comes before reviewing the last one.
By sector
One role, several realities.
- Fashion and luxury
Collection and capsule launches, events and shows, a controlled image in every country, collaborations and brand ambassadors whose rights are tightly framed.
- Retail
Key dates and sales, operations to roll out in every store on the same date, window displays and point-of-sale material, measuring the effect on footfall and sales.
- Cosmetics and beauty
Frequent launches, claims to substantiate, sampling, influence, in-store promotions and joint operations with selective retailers.
- B2B distribution and wholesale
Leaflets and catalogues, operations with suppliers, private labels, in-store promotions to negotiate and then check.
- Pharma and healthcare
Consumer ranges in pharmacies and prescription products, materials subject to regulatory approval before release, tightly framed information for healthcare professionals.
What changes
Automate the task, keep the judgement.
What gets automated
- Consolidation of campaign results, from every media owner and every social network, in a single dashboard alongside sales.
- Matching agency commitments and invoices to the plan and the budget, operation by operation.
- First drafts of sales arguments, briefs and copy by an AI agent, from the product repository and the brand guidelines.
- An approval workflow for materials, with reminders and traceability of approved versions.
- Summaries of research, panels and customer reviews, with sources, ready to read.
What stays human
- Positioning, messages and approval of creative work.
- Budget trade-offs between channels and between operations.
- The relationship with agencies, partners and management.
Use cases
How to automate, case by case.
Each case starts from a question leadership teams ask. The starting point, what gets automated, the tools involved, and what stays in the teams’ hands.
How do you automate monitoring of advertising campaigns while they run?
- Today
- A campaign running across several media owners and social networks is tracked by opening each interface one after another. Spend that is too fast or an ad that is not working is noticed after the fact, when the budget has already been used.
- What gets automated
- Spend and results from each media owner flow automatically into a single view, compared with the campaign plan. Rules set in advance flag abnormal spending pace, falling performance or an audience that is wearing out. An AI agent summarises each morning what has changed and what needs a decision.
- What stays human
- The marketing manager or the media agency decides on budget and targeting adjustments.
- Advertising platforms
- Reporting tool (BI)
- AI agent
- Messaging
How do you automate writing sales arguments for a launch?
- Today
- For each new product, marketing writes a sales argument for store staff, sales reps or medical representatives, from the product sheet, test results and positioning. It is often ready late, in a single language, and does not follow corrections made to the product.
- What gets automated
- The sales argument is generated from the product repository: features, approved benefits, points of difference, frequent questions. An AI agent proposes a first draft adapted to each audience, store staff, sales rep or distributor, then the translations. Any change to the product sheet flags the sales arguments to update.
- What stays human
- The marketing manager approves the arguments and claims retained, with regulatory when required.
- Product repository (PIM)
- AI agent
- E-learning tool
- Media library (DAM)
How do you automate checking the in-store set-up of operations?
- Today
- Window displays, point-of-sale material, end-of-aisle displays: marketing sends a set-up guide, then waits for photos by e-mail or messaging app. It looks at them one by one, and stores that are non-compliant or late are only spotted when a field coordinator visits.
- What gets automated
- Each store receives its instructions and uploads its photos in an app, linked to the operation. An AI agent compares the photos with the set-up guide and flags missing or misplaced elements. Marketing and regional managers see progress by store and chase those that have sent nothing.
- What stays human
- Regional managers and marketing decide on the flagged cases and support the stores.
- Mobile app
- AI agent
- Reporting tool (BI)
- Messaging
How do you automate the analysis of customer reviews for product marketing?
- Today
- Reviews arrive on the website, marketplaces, distributors’ websites and social networks. Marketing reads some of them, with no overall view by product, and discovers late a perceived defect or an argument that customers like.
- What gets automated
- Reviews are collected automatically from each source and linked to the product in the repository. An AI agent sorts them by theme (quality, size, use, price, packaging) and sentiment, and spots rising topics. A summary by product and by range is sent to marketing and product, with example reviews.
- What stays human
- Marketing and product decide what follows: correcting the product, the messages or the visuals.
- Review collection tool
- AI agent
- Product repository (PIM)
- Reporting tool (BI)
How do you automate tracking of influencer campaigns?
- Today
- Selecting creators, sending products, contracts, expected posts: influence is managed in a spreadsheet and in private messaging apps. Posts are found by hand and results are pieced together at the end of the campaign.
- What gets automated
- Each creator is tracked in a single base: agreed terms, products sent, planned posts, mandatory disclosures. Posts are spotted automatically and linked to the campaign, and their statistics come in when the creator shares them. A check flags a missing post or one without the required partnership disclosure.
- What stays human
- Choosing creators, the relationship with them and approving content remain with the marketing team.
- Influencer management tool
- CRM
- Reporting tool (BI)
- Messaging
How do you automate testing of advertising messages and visuals?
- Today
- Tests of messages and visuals are launched with no common rule, on one media owner or another, and their results are read in whichever interface is to hand. Lessons are kept nowhere, and the same hypothesis gets tested several times.
- What gets automated
- Each test is declared with its hypothesis, variants, audience and planned duration. Results come in automatically, with a check of their statistical reliability before any conclusion. Lessons are filed in a base searchable by product, target and channel, and reused for later briefs.
- What stays human
- The marketing manager draws the conclusions and decides whether to roll out the winning variant.
- Advertising platforms
- Reporting tool (BI)
- Document base
How do you automate the approval workflow for claims and legal notices?
- Today
- Before release, every piece of material goes through legal, and in cosmetics or pharma through regulatory. Versions circulate by e-mail, comments cross and nobody knows which version was approved.
- What gets automated
- Materials are submitted to an approval workflow, with reviewers set according to the type of material and the country. An AI agent first checks the claims against the list of approved claims and flags missing mandatory notices. Each approval is time-stamped, and only the approved version can be released.
- What stays human
- Legal and regulatory give the final opinion; the tool only prepares their review.
- Content approval tool
- AI agent
- Media library (DAM)
- Messaging
How do you automate tracking market share from panel data?
- Today
- Panel data arrives as large files that the team reworks in a spreadsheet to isolate its brand, its competitors and its channels. Each delivery takes the same work, and the panel’s classifications do not match internal references.
- What gets automated
- Panel files are imported automatically at each delivery, and a mapping table links their classifications to internal products and ranges. The tool calculates market shares, their trends and the gaps by channel, by region and by segment, and sets them against the operations in the commercial calendar. An AI agent drafts a first reading of notable movements.
- What stays human
- Interpreting market movements and positioning decisions remain with the marketing manager.
- Reporting tool (BI)
- Product repository (PIM)
- AI agent
How do you automate tracking of sampling and product tests?
- Today
- Samples sent to customers, journalists or points of sale, consumer tests: shipments are tracked in a spreadsheet and feedback arrives by e-mail or questionnaire. Nobody really knows what the sampling has delivered.
- What gets automated
- Each sampling operation is recorded with its recipients, quantities and objective. Questionnaire answers are collected automatically, and an AI agent summarises the free-text feedback. When recipients are known in the CRM and have consented, their later purchases are matched to the operation.
- What stays human
- Marketing decides what to do next with the product or the operation based on the results.
- CRM
- Survey tool
- AI agent
- Reporting tool (BI)
How do you automate desk market research with AI?
- Today
- Before a launch or entering a new country, the team gathers reports, articles and public data, often in a hurry. Sources are mixed, rarely cited, and the summary ages quickly.
- What gets automated
- An AI agent searches and reads the designated sources, public reports, trade press, competitor publications, research already bought by the company, then produces a structured summary with its references. Each statement links back to its source so it can be checked. The summary is filed in a base and can be updated on request.
- What stays human
- The team checks the sources, discards what is unreliable and draws the conclusions for the brand.
- AI agent
- Document base
- Monitoring tool
Questions from the teams
What teams look to improve.
- How do you automate a marketing manager’s work?
- By starting with what comes back every week: consolidating results, tracking the budget, briefs, approvals, reporting. Each of these processes connects to the tools in place, and the manager keeps the choices of messages, targets and budget.
- Can AI write the copy for a campaign?
- It can propose first drafts and variants from the brief, the product repository and the brand guidelines. The message, the tone and the final version are chosen and approved by the team, which answers for what is published.
- How do you compare the performance of marketing channels?
- By setting one definition of each indicator for all channels, then feeding a common dashboard from each media owner and each tool. The figures reported by each platform are shown next to actual sales, so the gaps are visible.
- How do you track the results of a product launch?
- By setting before the launch the indicators to follow: sales by channel, available stock, reviews, coverage. A dashboard updates them automatically during the first weeks and flags gaps against the plan, so a boost or an adjustment can be decided quickly.
- Which tool should be used to run the marketing plan?
- The plan works better in a shared tool than in a spreadsheet sent by e-mail: each operation carries its dates, budget, channels and results. The tool connects to the CRM, the tills and the accounts; the choice depends on what the company already has.
- How can automation improve work with agencies?
- By sharing up-to-date information with them rather than copied files: product repository, approved visuals, calendar, campaign results. Deliverables and approvals are tracked in one place, and invoices are matched to quotes.
- Is marketing automation compatible with GDPR?
- Yes, as long as each contact’s consent is known and tracked across all tools. Targeting covers only contacts who have given it, and the data passed to an AI tool is limited to what is necessary. The framework is set with the compliance officer.
- Is a marketing automation tool needed on top of the CRM?
- Not necessarily. Many needs can be met by connecting the CRM, the campaign tool and the reporting tool already in place. The diagnostic shows what is really missing and whether an extra tool is justified.
02 — Getting started
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