Marketing Consulting Services for Predictable Growth: Audits, Experiments, and a 90 Day Roadmap (2026)

Diagnosis

Find the constraint that is limiting growth (message, channel, conversion, or retention) and quantify it.

Design

Define the strategy and operating rules: who you target, what you promise, and what you measure.

Enablement

Build playbooks, templates, and routines so the team can run without outside help.

Strategy and message

• Segment definitions and priority segments.
• Positioning statement (internal) and value proposition (external).
• Message map (themes, proof points, objections, and “do not say”).
• Sales enablement one pager (talk track and proof).

Demand and conversion

• Channel plan with sequencing and budget guardrails.
• Experiment backlog with hypotheses and expected impact.
• Landing page and offer testing plan (with acceptance criteria).
• Campaign brief template and QA checklist.

Measurement and analytics

• KPI dictionary (definitions, owners, and source of truth).
• Event taxonomy (what to track and why).
• Dashboard that matches the weekly decision meeting.
• Data QA process (weekly checks and issue log).

Marketing operations

• Launch workflow (from brief to post launch review).
• RACI and SLAs across marketing, sales, and product.
• Asset library structure (naming, versions, and approvals).
• Handoff plan and training plan.

What to define before optimizing

• One outcome metric (the “north star” for the engagement).
• Two to four input metrics (leading indicators you can influence weekly).
• Clear ownership (who fixes data, who runs experiments, who decides spend).
• Attribution assumptions (what you will and will not claim).

Reporting that drives decisions

• Show trends and deltas, not vanity totals.
• Separate “what happened” from “why it happened.”
• Track learnings per experiment and reuse them in briefs.
• Keep a decision log (what was approved, paused, or stopped).

Campaign name:
Primary objective (metric and target):
Audience segment:
Offer:
Core message (1 sentence):
Proof points (3 bullets):
Channel(s):
Creative variants to test:
Landing page URL:
Success definition:
Tracking (UTM rules and key events):
Budget and dates:
Approvals and owners:

Experiment ID:
Hypothesis:
What is changing:
Where it runs (channel, page, journey):
Primary KPI:
Secondary KPI(s):
Audience:
Start date and end date:
Result summary:
Decision (scale, iterate, stop):
Learning (1 to 2 sentences):
Next experiment suggested:

KPI name:
Business question it answers:
Formula:
Inclusions:
Exclusions:
Source of truth:
Update frequency:
Owner:
Common failure modes (how it gets misread):
Decision triggered when KPI moves:

1) KPI movement (outcomes and leading indicators):
2) What changed since last week (channels, creative, offers, site):
3) Experiments: results and decisions (scale, iterate, stop):
4) Data quality issues (owners and due dates):
5) Next week plan (top 3 priorities and owners):