SuperAPI AI Directory

traction-channel-bullseye

Marketing & growth

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Updated 10-16 03:40

About this skill

Traction Channel Bullseye

Choose where customers will come from by considering every recognised acquisition channel, testing the three most promising in parallel with capped budgets, and funding the one the numbers favour (Weinberg & Mares, 2014).

Use When

  • A client arrives asking for one fashionable channel ("we need TikTok") before anyone has compared alternatives.
  • A marketing or advertising plan needs a defensible channel section with cost and volume assumptions.
  • Growth has flattened and the current channel is saturating or decaying.
  • A new market, segment or product needs its first customers.
  • Channels such as radio, SEO, sales agents, partnerships, referrals and events have never been compared with social media.

Do Not Use When

  • strategy-channel-architecture for roles, flows and effort inside channels already chosen.
  • media-planning for scheduling and weighting paid media inside a chosen mix.
  • marketing-foundations-stp-positioning when positioning and target are not yet agreed.
  • Stop when a regulated or contractual route is mandatory (for example a public tender); follow that route instead.

Required Inputs

Artefact Source/provider Required? If absent
Traction goal, product phase and what reaching it changes Client owner Yes Stop and agree the goal first
Unit economics: price, gross margin, allowable acquisition cost Client finance; chwezi-accounting-doctrine for method Yes for focus decisions Run tests only; mark focus decision not assessed
Positioning and target segment marketing-foundations-stp-positioning output Yes Label channel ideas provisional
Tracking readiness (codes, tagged links, "how did you hear" field) Client or implementation team Yes before tests Build tracking first; do not start tests
Test budget and time Client approver Yes Produce the ranked plan only

Workflow

  1. Confirm the traction goal, the phase (first customers, product–market fit, scale) and the "needle-moving" threshold; stop if no goal exists.
  2. Brainstorm at least one realistic idea for each of the 19 channels, using the East African vocabulary in the reference; score probability, expected acquisition cost, volume available at that cost and test time.
  3. Rank ideas into inner (A), potential (B) and long-shot (C) rings; pick three inner-circle channels.
  4. Write a test card per channel (hypothesis, cap, duration, metric, success line, tracking method, owner); withhold any test without working tracking.
  5. Run the three tests in parallel and read weekly; stop a test early if it breaches its cap or a legal/consent check fails.
  6. Decide focus, extend or drop with reasons; hand the winner to the channel, advertising and testing skills for optimisation.
  7. Set rerun triggers (flat growth for two months, rising cost, saturation); when one fires, correct the assumptions with the data gathered and rerun the Bullseye.

Outputs

Artefact Consumer Acceptance condition
19-channel idea sheet with ring ranking Client approver and strategist Every channel has at least one idea and a score; bias sources noted
Three test cards Delivery team and media buyer Each card has cap, duration, metric, success line and tracking method
Focus decision memo Client owner, finance Decision cites cost per qualified outcome against allowable cost
Critical path with "not doing" list Project owner Only necessary milestones remain, in dependency order

Evidence Produced

Evidence Format Acceptance condition
Test log Table: channel, spend, outcomes, cost per outcome, quality notes Figures trace to tracked sources; untracked results excluded
Decision record Memo States the rule applied and the evidence behind it

Capability and Permission Boundaries

Read and search only; analysis is read-only. Publishing, spend, live account changes, outreach and personal-data processing need explicit, action-specific client authority. Running tests that spend money, contact people, list on platforms or process personal data also needs a lawful basis and a named owner; planning uses supplied data and authorised sources.

Degraded Mode

Without unit economics or working tracking, return the narrowest qualified result and mark the affected checks not assessed. The ranked idea sheet, draft test cards (cost and focus not assessed) and the tracking set-up list can still be delivered; do not recommend a focus channel.

Decision Rules

Condition Action Failure or risk avoided
Client insists on one channel Complete the 19-channel sheet anyway; test the requested channel alongside two others Channel bias and missed cheaper routes
No tracking in place Build unique links, codes, keywords and "how did you hear" first Tests that cannot be read
Retention leaks (customers do not return) Fix activation/retention before scaling acquisition Pouring money into a leaky bucket
A channel cannot reach the needle-moving volume at allowable cost Drop or park it this phase Chasing blips
Winner's cost rises or volume flattens Treat as decay; re-run the Bullseye Assuming a channel lasts forever
Budget too small for three parallel tests Test sequentially, strongest first Spreading below a readable level

Quality Standards

  • Channel ideas are specific and local (named station, association, WhatsApp channel, fair), not generic.
  • Tests are cheap and small; optimisation starts only after a channel shows promise.
  • Every figure carries source and date; book examples are never benchmarks.
  • Language is professional: "decay" and "saturation", not startup slang.

Anti-Patterns

  • Choosing only familiar or fashionable channels. Fix: force one idea for each of the 19 channels.
  • Testing everything at once or one thing for months. Fix: three inner-circle tests in parallel, capped.
  • Optimising before validating. Fix: test first; optimise only a proven channel.
  • Scaling acquisition while customers churn. Fix: pass the retention check first.
  • Buying lists or using black-hat tactics to feed a channel. Fix: permission-based lists and legitimate methods only.
  • Treating US prices from the book as local benchmarks. Fix: build local cost assumptions from rate cards and own tests.

References

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com.