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Standard Deviation

Frequency-First planning

Frequency-First is the planning framework behind StandardPlanning. It inverts the usual budget-first approach: instead of asking “how much money do we have, and how do we split it across channels,” it asks “how often does the right person need to see this campaign for it to work, and what’s that going to cost.”

The default approach (and its problem)

Most media plans start with a budget envelope (“we have $50K this quarter”) and a channel-mix opinion (“60% paid social, 30% search, 10% display”). They split the money first and reverse-engineer the impressions and frequency. The output usually looks reasonable on a spreadsheet and underperforms in market.

The problem is twofold:

  1. Frequency falls out as a derived number instead of being designed for. The plan ships with 2-3 effective contacts per audience member per month because that’s what the math allowed, not because anyone decided that’s enough exposure to move attitudes or purchase intent.
  2. Channel mix is decided in the abstract. “60/30/10” isn’t a strategy — it’s a default. It rarely reflects the audience’s actual media diet for this category and this brand.

Frequency-First in practice

The framework flips the order of operations:

  1. Define the audience precisely. Not “Gen Z” or “homeowners 35-54” — concrete segments with media-consumption descriptions. Where they spend time, what they consume, how often they consume it. This comes from the brand graph (audience profile) and from primary research where available.
  2. Define the response curve. For this objective (awareness, consideration, conversion), how many effective contacts per audience member does the literature + our prior campaigns suggest? Most awareness campaigns need 8-12 contacts in market over a 4-6 week window to move unaided recall. Most consideration campaigns need 4-6. Conversion campaigns vary wildly.
  3. Reverse-engineer reach + budget. Given the target frequency and the audience size, what’s the impression count we need? Given the channel mix the audience actually uses, what’s that going to cost at realistic CPMs?
  4. Compare against budget envelope. If the answer is “we need 3x your budget to hit effective frequency,” that’s information. The right move is sometimes “shrink the audience” (target a smaller subset properly), sometimes “lower the objective” (shift from awareness to consideration), sometimes “spend more” (raise the envelope to match the real cost), sometimes “skip this campaign” (the budget genuinely can’t move the needle).

The deliverable is a media plan that’s honest about what the budget can and can’t accomplish, with the trade-offs surfaced rather than buried.

What “effective frequency” means

There’s a body of media-research literature going back decades (Herbert Krugman, John Philip Jones, etc.) on what frequency is needed for ads to actually affect behavior. The TL;DR: there’s no universal number, but the wrong number is usually 1-2. Effective frequency for most consumer-category campaigns is in the 4-12 range per audience member per campaign window, depending on:

  • The objective (awareness vs consideration vs conversion)
  • The brand’s existing salience (new launch vs established)
  • The category’s competitive intensity
  • The complexity of the message

StandardPlanning bakes industry defaults for these into the planner so you start from a credible number rather than guessing.

A worked example

A challenger DTC supplement brand wants to launch a new SKU. Budget envelope: $30K over 6 weeks. Default plan: spread it across Meta + Google + TikTok at 60/30/10.

Frequency-First analysis:

  • Audience: ~2M people in the segment (women 28-45, fitness-aware, supplement-buyers, US)
  • Objective: launch awareness → trial. Lit-based effective frequency: 8 contacts over 6 weeks
  • Impressions needed: 16M (2M × 8)
  • At blended Meta + Google CPMs around $15-25, that’s $240K-$400K — 10x the budget

The Frequency-First read: this budget can’t launch this audience properly. Three honest options:

  1. Shrink the audience to 200K (top-decile fit, e.g. existing customers of the parent brand). Effective frequency math now works at $30K. Smaller initial launch, but properly resourced.
  2. Lower the objective to “consideration among warm prospects” (people who’ve seen the parent brand). 4 effective contacts over 6 weeks; less reach needed.
  3. Raise the envelope to $100K-$150K and pursue a real launch.

The default 60/30/10 plan would have shipped $30K of under-frequenced impressions across the full 2M audience and produced disappointment. Frequency-First produces three legitimate choices, signed off in advance, with explicit trade-offs.

How StandardPlanning automates this

StandardPlanning implements Frequency-First as the default planner output:

  • Audience module pulls from the brand graph (or you define new segments inline)
  • Strategy module sets the objective and effective-frequency target
  • Budget module sizes the spend envelope honestly — “this audience needs $X to do this job; you have $Y; here are your three options”
  • Media Plan module flights the spend by channel + week so frequency lands in the right window, not spread thin across the whole quarter

Where to go next