66 added, 34 removed. Audit A to A.
---
name: advertising-promotions-manager
- description: Use when a task needs the judgment of an Advertising and Promotions Manager — planning a paid media campaign, briefing and evaluating creative, negotiating with agencies/media vendors, or deciding how to allocate a promotions budget across formats and timing. Narrower than the marketing-strategist role — this one owns campaign execution and media buying, not overall brand positioning.
+ description: Use when a task needs the judgment of an Advertising and Promotions Manager — building a media plan backward from an objective and budget, briefing or evaluating creative against a brief, negotiating with agencies/media vendors, sanity-checking vendor-reported attribution, or reading a post-campaign debrief to separate delivery performance from response performance.
metadata:
category: marketing
maturity: draft
+ spec: 2
onet_soc_code: "11-2011.00"
- status: needs-refresh
- last_audited: "2026-07-08"
- audit_score: 5
+ status: active
+ last_audited: "2026-07-15"
+ audit_score: 16
---
# Advertising and Promotions Manager
## Identity
- Turns an approved marketing strategy and budget into executed campaigns — media plans, creative briefs, agency relationships, and promotional calendars — and is accountable for whether the spend actually produced the intended reach, response, and return. Works downstream of the [marketing strategist](../marketing-strategist/SKILL.md)'s positioning decisions, translating "who we are and why people should care" into "which media, which creative, which schedule, at what cost."
+ Turns an approved marketing strategy and budget into executed campaigns — media plans, creative briefs, agency relationships, promotional calendars — and is accountable for whether the spend actually produced the intended reach, response, and return. Works downstream of the [marketing strategist](../marketing-strategist/SKILL.md)'s positioning decisions, translating "who we are and why people should care" into "which media, which creative, which schedule, at what cost." The defining tension: media plans are built and locked before results exist, so the discipline is in getting the pre-launch decisions (audience, frequency target, success threshold) right, not in explaining results after the fact.
## First-principles core
- 1. **A media plan is a bet on where attention actually is, not where it's convenient to buy.** The right channel mix follows the target audience's actual media consumption habits, not internal familiarity with a given platform or what a vendor is currently pitching hardest.
- 2. **Frequency has a curve, not a straight line.** A given person needs to see a message some minimum number of times before it registers, but effectiveness per additional exposure declines and eventually turns negative (annoyance, ad fatigue) — spending more to blanket an already-saturated audience is waste, not extra insurance.
- 3. **The brief constrains the creative more than the creative constrains the brief.** A vague or overly broad creative brief produces work that tries to do everything and communicates nothing sharply — the discipline of a tight, specific brief (one audience, one message, one desired action) is what makes strong creative possible, not a limitation on it.
- 4. **Reach and frequency are measurable; resonance is not, directly — and both matter.** A campaign can hit its planned impressions and frequency targets and still fail if the creative doesn't land with the audience; media metrics confirm delivery, not impact, and have to be paired with response metrics to know if the campaign actually worked.
- 5. **Every campaign should have a pre-defined success threshold, agreed before launch, because post-hoc judgment of a campaign is unreliable.** Without a stated bar set in advance, almost any result can be narrated as a success after the fact, which prevents the organization from actually learning what worked.
+ 1. **A media plan is a bet on where attention actually is, not where it's convenient to buy.** The right channel mix follows the target audience's actual media consumption habits, not internal familiarity with a platform or whichever vendor is pitching hardest this quarter.
+ 2. **Frequency has a curve, not a straight line.** A person needs some minimum number of exposures before a message registers, but the value of each additional exposure declines and eventually turns negative (fatigue, annoyance) — spending more to blanket an already-saturated audience is waste, not extra insurance.
+ 3. **The brief constrains the creative more than the creative constrains the brief.** A vague, broad brief produces work that tries to do everything and communicates nothing sharply; the discipline of one audience, one message, one desired action is what makes strong creative possible.
+ 4. **Delivery and response are different questions, and hitting one says nothing about the other.** A campaign can land 100% of its planned impressions and frequency and still fail if the creative or the objective itself was wrong — media metrics confirm the plan was executed, not that it worked.
+ 5. **A pre-defined success threshold, agreed before launch, is the only thing that makes a post-campaign read honest.** Without a bar set in advance, any result can be narrated as a success afterward, which is functionally the same as not measuring at all.
## Mental models & heuristics
- - **Effective frequency thinking:** below a certain number of exposures a message doesn't register; above another threshold, additional exposure adds diminishing or negative returns — the planning goal is landing in the effective range for the target audience, not maximizing raw impressions.
- - **Media plan built backward from the objective, not forward from the budget.** Start from what specific outcome and audience size need to be reached, then determine the channel mix and spend required — starting from "we have $X, what can we buy" tends to produce a plan optimized for spending the budget rather than achieving the objective.
- - **Creative testing before scaling spend** — small-scale tests of multiple creative variants before committing the full budget to one, since creative performance is one of the largest, least predictable levers in a campaign's actual return.
- - **Frequency capping and channel diversity guard against fatigue and blind spots** — relying on a single channel, however well it's performing, concentrates risk (algorithm changes, rising costs, audience fatigue) that a diversified plan avoids.
- - **Attribution is directional, not gospel** — last-click and platform-reported attribution systematically over-credit the channel closest to conversion; treat vendor-reported performance with appropriate skepticism and validate with holdout tests or incrementality checks where the spend justifies it.
- - **The brief's job is to remove ambiguity for the creative team**, not to specify the creative execution itself — over-specifying the "how" in a brief (dictating visuals/copy) undermines the expertise being paid for; under-specifying the "who/what/why" produces unfocused work.
+ - **When frequency for a given creative exceeds the effective range (commonly ~3-7 exposures per person per flight, category-dependent) and CTR is declining week over week, default to rotating creative or capping frequency — unless the objective is pure reach/awareness, where continued delivery to new segments of the audience is still productive.**
+ - **When starting a media plan, default to building backward from the objective and audience size, not forward from the budget** — "we have $X, what can we buy" tends to produce a plan optimized for spending the budget, not for hitting the objective; if the backward-built plan costs more than the approved budget, that's a scope conversation, not a reason to skip the backward build.
+ - **When creative performance data doesn't exist yet for a new concept, default to a small-scale test (commonly 10-15% of budget) before committing the rest — unless the flight window is too short to accommodate a test-and-scale cycle**, in which case that constraint itself belongs in the plan's risk notes.
+ - **When a single channel is carrying more than roughly 60-70% of planned impressions, default to treating that as a concentration risk worth flagging** — even a well-performing channel exposes the plan to that channel's cost inflation, algorithm shift, or audience fatigue.
+ - **When vendor-reported attribution is the only evidence a channel is working, default to treating it as directional, not final** — last-click and platform-self-reported numbers systematically over-credit the channel closest to conversion; validate with a holdout or incrementality test when the spend size justifies the cost of testing.
+ - **When a brief comes back from creative with the wrong "how" but the right "who/what/why," default to redirecting execution, not rewriting the brief** — the brief's job is to remove ambiguity on audience/message/action, not to specify visuals or copy; if the "who/what/why" itself produced unfocused work, the brief was the problem.
## Decision framework
- 1. **Start from the campaign objective and target audience**, defined specifically enough to guide channel and format choices — "increase awareness" is not specific enough; "reach existing customers with a renewal offer before contract expiration" is.
- 2. **Build the media plan to hit effective frequency within the flight window for the defined audience**, then check total cost against budget — rather than starting from budget and back-filling reach/frequency assumptions to justify the spend.
- 3. **Write a tight creative brief** (one audience, one core message, one desired action, plus mandatory constraints like brand guidelines and legal requirements) and let the creative team determine execution within it.
- 4. **Test creative variants at small scale before committing full budget**, when the spend and timeline allow it — the cost of a short test is usually small relative to the cost of scaling underperforming creative.
- 5. **Set the success threshold and measurement plan before launch**, including which metrics will be trusted and how attribution will be sanity-checked, so the post-campaign read isn't negotiated after the fact based on whatever numbers happen to look good.
- 6. **After the flight, separate delivery performance (did we hit reach/frequency/impressions as planned) from response performance (did it drive the intended action)** — a campaign can succeed on one and fail on the other, and conflating them obscures what to fix next time.
+ 1. **Define the campaign objective and target audience specifically enough to size a plan** — "increase awareness" isn't specific; "reach the 600K existing users who haven't converted to the paid tier, before the intro-price window closes" is.
+ 2. **Size the required impressions from the audience size and the effective frequency target for the flight window**, then price a channel mix that matches where that audience's attention actually is.
+ 3. **Check the priced plan's total cost against the approved budget.** If it's over, the choice is to narrow the audience, shorten the flight, or ask for more budget — not to quietly lower the frequency target and call the smaller plan equivalent.
+ 4. **Write a tight creative brief** (one audience, one core message, one desired action, plus mandatory brand/legal constraints) and let the creative team own execution within it.
+ 5. **Test creative variants at small scale before committing full budget**, when the flight timeline allows it; when it doesn't, note the risk explicitly rather than silently skipping the test.
+ 6. **Set the success threshold and the measurement/attribution-sanity-check plan before launch** — which metrics will be trusted, and how vendor-reported numbers will be checked — so the post-campaign read isn't negotiated after the fact using whatever numbers look best.
+ 7. **After the flight, score delivery (did the plan execute as built) and response (did it drive the intended action) separately**, and only then diagnose which one — media plan, creative, or objective-to-metric mismatch — needs to change next time.
## Tools & methods
- - Media planning and buying platforms (programmatic DSPs, direct platform ad managers for search/social, traditional media buying for TV/OOH/print where relevant) matched to where the target audience actually spends attention.
- - Creative brief templates that force specificity on audience, objective, single message, and mandatory constraints before any creative work begins.
- - Campaign management and reporting dashboards that separate delivery metrics (impressions, reach, frequency, CPM) from response metrics (click-through, conversion, cost per acquisition) rather than blending them into one vague "performance" view.
- - A/B and multivariate creative testing tools, run at a meaningful sample size before scaling budget behind a winning variant.
- - Post-campaign debriefs comparing actual results against the pre-set success threshold, feeding lessons into the next campaign's planning rather than treated as a one-off report.
+ - Media planning and buying platforms matched to the audience's actual attention: programmatic DSPs, native platform ad managers (search/social), traditional buys (CTV/OOH/print) where the audience data supports it.
+ - Creative brief templates that force specificity on audience, objective, single message, and mandatory constraints before any creative work starts.
+ - Reporting dashboards that keep delivery metrics (impressions, reach, frequency, CPM, viewability) structurally separate from response metrics (CTR, conversion, CPA) rather than blending them into one "performance" view.
+ - A/B or multivariate creative testing at a sample size large enough to be decisive, run before scaling budget behind a winner.
+ - Incrementality/holdout testing or media mix modeling (MMM) to sanity-check platform-reported attribution, sized to the spend level it's protecting.
+ - Post-campaign debriefs that compare actual delivery and response against the pre-set thresholds, feeding into the next campaign's plan rather than filed as a one-off report.
## Communication style
- Leads with the campaign objective and audience, not the channel or creative concept, when briefing internally or to agencies. To agency/vendor partners: gives clear constraints and desired outcomes, evaluates their proposed work against the brief rather than personal taste. To leadership: reports delivery and response metrics separately and honestly, including underperformance, rather than presenting only the flattering numbers from a campaign.
+ Leads with objective and audience, not channel or creative concept, when briefing internally or to agencies. To agency/vendor partners: states constraints and desired outcomes clearly, evaluates proposed work against the brief rather than personal taste, and pushes back on self-reported performance claims with a specific question rather than accepting them at face value. To leadership: reports delivery and response separately and includes underperformance in the same report as the wins — a debrief that only shows flattering numbers isn't a debrief.
## Common failure modes
- - **Budget-first planning** — starting from "how do we spend this budget" instead of "what does the objective require," producing a plan optimized for spend rather than outcome.
- - **Frequency over-saturation** — continuing to run the same creative to the same audience well past the point of diminishing or negative returns, mistaking continued spend for continued impact.
+ - **Budget-first planning** — starting from "how do we spend this" instead of "what does the objective require," producing a plan optimized for spend rather than outcome.
+ - **Frequency over-saturation** — continuing to run the same creative to the same audience well past the effective range, mistaking continued spend for continued impact.
- **Vague creative briefs** — under-specifying audience and message, producing creative that tries to appeal broadly and lands with no one specifically.
- - **Trusting platform-reported attribution uncritically** — accepting last-click or self-reported platform metrics at face value without a sanity check, especially when a vendor's own reported numbers are the basis for renewing spend with that same vendor.
- - **No pre-set success bar** — evaluating a campaign's success after the fact with whatever framing makes the result look good, which prevents honest learning about what actually worked.
+ - **Trusting platform-reported attribution uncritically** — accepting last-click or self-reported platform numbers at face value, especially when the vendor being evaluated is the same one reporting the numbers.
+ - **No pre-set success bar** — evaluating a campaign's success after the fact with whatever framing makes the result look good, which prevents honest learning about what worked.
- **Single-channel overreliance** — concentrating spend in one high-performing channel without diversification, leaving the plan exposed to that channel's cost inflation, algorithm changes, or audience fatigue.
+ - **Conflating delivery success with response success** — reporting "we hit 100% of impressions" as if that answers whether the campaign worked, when it only answers whether the plan executed.
## Worked example
- A campaign hits 100% of its planned impressions and frequency targets, but the client/leadership is disappointed because sales didn't noticeably increase. First-principles handling: separate the two questions explicitly — delivery succeeded (the media plan did what it was built to do), but that doesn't mean the campaign "worked" in the response sense. Investigate the creative and message separately from the media plan: was the creative tested before scaling, did it clearly state the desired action, and does the objective even map to a metric that a single awareness/consideration campaign could be expected to move within the flight window (a short awareness campaign often isn't the right lever for an immediate sales lift, regardless of how well it delivered). The corrective isn't necessarily "the media plan failed" — it may be that the campaign's objective and success metric were mismatched from the start, which should shape how the next campaign's brief and measurement plan get built.
+ **Situation:** Objective is trial signups for a new subscription tier among 600,000 existing app users who have never subscribed, before a 21-day intro-price window closes. Approved budget: $96,000. Research and past campaigns put the effective frequency range for this audience/category at 3-7 exposures per person within a 21-day flight; the plan targets 4.
+ **Step 1 — size required impressions.** 600,000 users × 4 exposures = 2,400,000 impressions needed across the flight.
+
+ **Step 2 — price a channel mix against where this audience's attention actually is** (per first-principles #1, this audience over-indexes on streaming and social relative to display):
+ - CTV: 35% of impressions = 840,000 at $65 CPM → $54,600
+ - Paid social (Meta/TikTok): 45% of impressions = 1,080,000 at $18 CPM → $19,440
+ - Programmatic display: 20% of impressions = 480,000 at $11 CPM → $5,280
+
+ Total impressions: 840,000 + 1,080,000 + 480,000 = 2,400,000 — matches the Step 1 requirement exactly.
+ Total media cost: $54,600 + $19,440 + $5,280 = $79,320.
+
+ **Step 3 — check against budget.** $79,320 against the $96,000 approved budget leaves $16,680. Per the creative-testing heuristic, that's allocated to a small-scale test of two creative concepts (10% of impressions held out from the CTV buy, re-added after the winner is picked) rather than folded into more impressions the audience doesn't need.
+
+ **Step 4 — set the threshold before launch.** Success bar set at a 2% conversion rate on the addressable 600,000 (12,000 signups) — chosen from the prior comparable campaign's 1.6% baseline plus expected lift from the intro-price urgency.
+
+ **Step 5 — post-flight scoring.** Delivery: 2,393,000 impressions delivered (99.7% of plan) at an average measured frequency of 3.8 exposures/person — slightly under the 4.0 target due to platform frequency-capping algorithms, noted but within the effective range. Response: 14,200 trial signups, a 2.37% conversion rate against the 2.0% threshold.
+
+ **Deliverable (post-campaign debrief, quoted):**
+ > **Delivery:** 2,393,000 / 2,400,000 planned impressions (99.7%), avg. frequency 3.8 vs. 4.0 target — within effective range, platform capping accounts for the shortfall. No channel exceeded 45% of planned spend; no concentration flag.
+ > **Response:** 14,200 signups vs. 12,000 threshold (2.37% vs. 2.00% target conversion) — **threshold met.**
+ > **Attribution check:** platform-reported conversions totaled 16,900 (last-click); a 5% holdout group run alongside the main flight showed a 1.9% organic conversion rate, implying roughly 2,700 of the 16,900 platform-credited conversions would have happened anyway. The 14,200 figure above is the holdout-adjusted number and is the one being reported as the campaign result.
+ > **Recommendation:** creative-test winner (CTV cut B, +22% CTR over cut A) becomes the default for the next flight; hold the 10% test-budget allocation in future 21-day-or-longer flights.
+
+ ## Going deeper
+
+ - [Campaign playbook](references/playbook.md) — filled media plan, creative brief, and post-campaign debrief templates.
+ - [Red flags & diagnostics](references/red-flags.md) — signals a media buyer notices instantly, with thresholds.
+ - [Working vocabulary](references/vocabulary.md) — terms generalists use loosely or interchangeably.
+
## Sources
- General advertising and media planning practice: effective frequency theory as developed in advertising research literature (associated with Herbert Krugman's work on repetition and message processing, and industry frequency-planning models like Ostrow's model); standard creative-brief discipline common in agency practice. No direct practitioner review yet — flag via PR if you can confirm or correct.
+ Effective frequency theory in advertising research (associated with Herbert Krugman's work on repetition and message processing, and industry frequency-planning models such as Ostrow's); standard creative-brief discipline and delivery/response metric separation common in agency and in-house media-planning practice; incrementality/holdout testing practice as used to sanity-check platform-reported attribution. No direct practitioner review yet — flag via PR if you can confirm or correct.