Next Ads Plan (Global)

A plan without last period's data is guesswork, and guesswork is expensive. The order never changes: read the data, scale the winners, fix or stop the losers, then test something new. This is the last skill in the performance chain and the first skill of the next cycle.

Information gathering

Step 0 — always read the previous period first (mandatory input)

Before writing a single line of plan, you need:

1. Previous period performance report from 07-marketing-report-global or the tracking dashboard: spend, CPA, ROAS, leads, orders, broken out by channel, campaign, creative, and market.
2. Audit findings from 21-ads-audit-global or 03-performance-eval-global if the previous period had problems.
3. KPI target for the new period — unchanged or changed? If changed, recalculate with 10-reverse-kpi-global.
4. New period budget and any new offer or product entering the mix.

Missing the report means stop and either request the data or run 07-marketing-report-global first. If only part is missing, write the assumption explicitly into the plan.

Principles

1. Data before opinion. Never plan from a feeling that something "seemed fine".
2. Scale proven winners before funding new ideas. Capital goes first to what is already working; new tests get the 30% testing slice.
3. Maximum 2-3 new hypotheses per period. More than that and no test reaches significance.
4. Every keep/stop/fix decision carries a number. "Creative A at $42 CPA against a $30 target, frequency 3.1" — never "it was performing badly".
5. Plan three budget scenarios. Commit to the base case; keep prepared actions for the other two.
6. Adjust for the calendar. Per references/benchmarks-global.md, Q4 CPM runs about 26% above Q1, November peaks around 27% above average, and January is the cheapest month at roughly 21% below. A flat month-over-month plan across a seasonal boundary is already wrong.

Workflow

1. Review the previous period

Worked (KEEP)	Did not work (STOP/FIX)	Untested (ADD)
[winning creative/audience/channel with numbers]	[losing ad set with numbers and cause]	[new hypothesis from observation]

Extract the winning patterns:

• Creative type: video, static, carousel, UGC — which produced the best CPA?
• Hook type: pain, curiosity, social proof, demonstration — which produced the best CTR?
• Audience: interest, broad, lookalike, Advantage+ — which was cheapest and highest quality?
• Channel: which delivered the best ROAS, and which dragged the blended average down?
• Market: compare each market against its own tier baseline in references/benchmarks-global.md, never against the blended account average.
• Operational lessons: best posting times, creative refresh cadence, setup mistakes to avoid.

2. Direction for the new period

Period	Total budget	Objective	KPI target	New offer or campaign
[month/quarter]	[amount]	[lead/conversion]	CPA [x] / ROAS [x] / volume [x]	[if any]

If the target changed, or the offer, price, or market changed, recalculate with 10-reverse-kpi-global before continuing.

3. Multiply the winners

Winner	Previous CPA/ROAS	How it multiplies	What changes	New budget	Channel
[Creative A]	[numbers]	Keep as is, +20-30% budget	Nothing	[amount]	[x]
[Audience B]	[numbers]	Duplicate with new creative	2 new variants	[amount]	[x]
[Hook C]	[numbers]	Port to a new channel	Format change	[amount]	[x]
[Market D]	[numbers]	Expand to an adjacent market	New geo, same creative	[amount]	[x]

Apply the 55-scaling-ads-global rules: +20-30% per step, never double, do not edit the winning ad set.

4. Stop or fix the losers

Campaign / ad set	Problem (with numbers)	Decision	If fixing: what changes
[name]	CPA above 2x target for 3 days	STOP	—
[name]	CTR far below the median band	FIX	New creative and hook, keep the audience
[name]	Frequency 3.5+, CTR down 30%	FIX	Refresh creative, widen the audience
[name]	Good CTR, poor CVR	FIX	Landing page or offer, not the ad

Use the diagnostic order from references/benchmarks-global.md: weak CTR is a creative problem; good CTR with weak CVR is a landing page or offer problem; good CVR with weak ROAS is a margin or AOV problem. Every stopped item gets a logged reason so nobody retests the same thing next period.

5. Budget split for the new period

Campaign	Purpose	Daily budget	% of total
Scale winners	Maintain and grow	[amount]	50%
Testing (new hypotheses)	Find the next winner	[amount]	30%
Retargeting	Convert warm and hot	[amount]	15%
Lookalike	Open new pools from fresh seeds	[amount]	5%
Total			100%

6. Three budget scenarios

Scenario	Assumption	Budget	Expected volume	Action if it happens
Downside	CPA up 30% (seasonal peak, creative fatigue, auction pressure)	[amount]	[number]	Cut testing to 20%, concentrate on winners and retargeting
Base	CPA holds at last period	[amount]	[number]	Run this plan as written
Upside	CPA down 20% (a new winner lands)	[amount]	[number]	Push scaling +20% per 72h, open a new channel or market

If the new period crosses into Q4, build the downside scenario as the default assumption rather than the exception — the seasonal CPM lift is documented, not speculative. Commit to the base scenario with stakeholders; keep prepared actions for the other two so nobody is caught flat-footed.

7. New hypotheses (maximum 2-3)

#	Hypothesis ("If X then Y because Z")	Variable	Platform	Metric	Timeline
1	If we use UGC testimonial creative, CPA drops because trust is higher	Creative format	[x]	CPA	7 days
2	If we open a 3% lookalike, volume rises while CPA holds	Audience	[x]	CPA, volume	7 days
3	If we test a second market, blended CPA improves	Geo	[x]	CPA by market	14 days

Set up and conclude these according to 19-ab-test-setup-global: one variable at a time, at least 7 days, enough conversions to decide.

8. Creative pipeline

Creative needed	Type	Hook	Channel	Deadline	Used for
[name]	Video	Pain	Meta	[date]	Testing
[name]	Static	Social proof	Meta	[date]	MOFU / retargeting
[name]	UGC	Testimonial	TikTok	[date]	Scaling

Have 2-3 reserve creatives ready before the period starts. Do not wait for fatigue to brief.

9. Weekly schedule and acceptance thresholds

Week	Focus	Action	Cumulative % of period KPI
1	Launch winner clones	Build, launch, verify tracking green	20%
2	Launch tests	Run hypotheses, read day-3 signal	45%
3	Optimize	Scale winners, pause losers	70%
4	Review and prepare	Pull data, write the report, draft the next plan	100%

At the end of each week, compare cumulative actual against the threshold. A shortfall above 15% triggers the downside scenario immediately — do not wait for the period to end.

Output structure

File name: next-ads-plan-[product]-[YYYYMMDD].md — nine sections matching the nine steps above: review, direction, multiply winners, stop losers, budget split, three scenarios, hypotheses, creative pipeline, weekly schedule.

Related skills

• 07-marketing-report-global: the primary data source — run it first.
• 21-ads-audit-global and 03-performance-eval-global: audit before planning if the previous period had problems.
• 10-reverse-kpi-global: recalculate whenever the target, budget, offer, or market changes.
• 54-media-plan-global: when the new period involves a major change (new channel, new offer, new market), build a full media plan instead of an increment.
• 19-ab-test-setup-global: how to set up and conclude each hypothesis.
• 52-account-structure-global: build and launch the campaigns this plan defines.

Quality checklist

• Previous period report and audit were read — the plan is not written from impression
• Review table has all three columns (keep / stop-fix / untested) with numbers attached
• Market performance compared against its own tier baseline, not the blended average
• Winners are multiplied first, following the +20-30% scaling rule
• Every stopped item has a logged reason
• Budget split follows 30/50/15/5 and totals 100%
• Three scenarios present, each with a prepared action
• Seasonality applied where the period crosses a Q4 or January boundary
• Maximum 2-3 hypotheses, each with a variable, metric, and timeline
• Creative pipeline has deadlines and 2-3 reserve creatives
• Weekly schedule has cumulative acceptance thresholds of 20/45/70/100%