CFMP common mistakes
CFMP · Understand the traps and how to avoid them.
Building the marketing plan by starting from a list of tactics ("we'll run a text campaign and refresh the website") and then back-filling objectives to justify them.
Prior-year plans and vendor pitches supply ready-made tactics, so the plan becomes a spending justification document rather than a decision tool; objectives get written last and are vague enough to accommodate anything.
What to do instead
Force the sequence situation analysis → measurable objective → strategy → tactic, and for every tactic write the one-sentence link 'this tactic moves [metric] because [mechanism]'. Any tactic that cannot complete that sentence is cut or moved to a test budget.
Measuring market share and competitive position against a total-market denominator (e.g., all deposits in the state) rather than the served segment the institution actually competes for.
Total-market figures are the easiest to find in public data, and a small share number feels conservative and safe, so candidates never define the relevant market.
What to do instead
Write an explicit market definition statement (geography, product set, customer type, competitor set) before any share calculation, and show share as a percentage of that defined market with the denominator stated.
Recommending a method that doesn't fit the decision: proposing a focus group to size a market or forecast adoption, or proposing a large survey to discover needs nobody has articulated yet.
Candidates learn method names as a checklist and pick the one that sounds most rigorous or most affordable, rather than matching the method to whether the question is exploratory or conclusive.
What to do instead
Classify the decision first (explore an unknown, describe a known population, or forecast an outcome), then select the method; state in the answer why that method can and cannot answer the question.
Generalizing results from a convenience sample - surveying only current customers, branch walk-ins, or an employee-forwarded online poll - to the whole target market.
Existing-customer lists are free and fast, and the resulting numbers look clean; non-response and coverage bias are invisible in a report that shows only percentages.
What to do instead
State the population, sampling frame, and collection mode before fielding; describe the sample's skew against known population benchmarks and label any convenience-sample finding as directional, not projectable.
Confusing markup with margin when setting a product price, or quoting a margin figure that was calculated on cost instead of on price.
The two are computed from the same two numbers and differ only by the denominator, so an arithmetic slip of one keystroke passes unnoticed in the plan.
What to do instead
Write both formulas explicitly (markup = (price − cost)/cost; margin = (price − cost)/price), compute both for the proposed price, and sanity-check that a stated 20% margin corresponds to a 25% markup, not a 20% one.
Treating channel selection as a preference question ("we should add a digital account-opening channel") without quantifying cost-to-serve per channel or identifying channel conflict with existing relationships.
New channels are framed as growth opportunities, and the fully loaded costs - onboarding, servicing, cannibalization, staff retraining - sit in other departments' budgets so they never appear in the marketing analysis.
What to do instead
Build a simple per-channel comparison of fully loaded cost-to-serve, expected volume, and cannibalization risk, and name the specific conflict (e.g., branch staff compensated on accounts opened in branch) with a mitigation.
Reporting a campaign as successful because last-click attribution assigned most conversions to the paid search or email touch that happened to be closest to the application.
Standard analytics dashboards default to last click, so the number arrives pre-computed and looks authoritative; upper-funnel work that created the demand is structurally invisible.
What to do instead
Describe the attribution model being used and its known bias, and propose a control-based check - holdout geography, matched control group, or pre/post baseline - before claiming incremental effect.
Presenting reach, impressions, opens, or click-through rate as evidence of campaign performance without linking them to a downstream behavior in the funnel.
These metrics are available instantly and always go up with spend, so they satisfy the demand for a results slide; downstream data lives in a different system and arrives weeks later.
What to do instead
State the funnel stage each metric belongs to and pair every upper-funnel metric with at least one downstream measure (qualified inquiry, application start, funded account) plus the conversion rate that connects them.
Routing creative and channel execution to compliance for review only after the campaign is produced or, worse, after launch, and treating consent and opt-out rules as legal's responsibility.
Compliance is perceived as a bottleneck at the end of the timeline, and marketing staff often know the fair-lending and privacy rules by name but not which specific claim, disclosure, or consent requirement applies to a given tactic.
What to do instead
Insert a compliance gate at concept approval - before production - with a written checklist covering claims substantiation, required disclosures, opt-in/opt-out handling for email and text, and record retention, and document the sign-off date in the campaign file.
Calling a revenue lift or a return on spend 'ROI' without netting out the full campaign cost and without establishing an incremental baseline.
Finance and marketing use the term loosely, and gross revenue divided by media spend produces a flattering number; non-media costs and what would have happened anyway are both omitted.
What to do instead
Write the formula with every cost line included (media, production, staff time, incentives, technology) and compare against a baseline or control group; if no baseline exists, label the figure as a gross return, not ROI.