AI MARKETING TESTS

AI Marketing Experiments, Tested in the Real World

See what happens when AI marketing tools, strategies, and workflows are put to work on real marketing tasks.

Techfee tests AI solutions against practical marketing problems, measures the outcome, documents what happened, and explains whether the solution is actually worth using.

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How We Test
AI Marketing Tests

THE TECHFEE TESTING PROCESS

Every AI Marketing Test Follows a Clear Process

1. Problem

Find a real marketing problem worth solving.

2. Solution

Test the AI tool, strategy, or workflow.

3. Test

Run the test in a real-world scenario.

4. Measure

Track metrics that actually matter.

5. Verdict

Explain what worked, what didn’t, and why.

Time Saved

4.2 hrs

Cost

$17.40

Quality

8.7 / 10

Performance

+32%

Verdict

Worth Testing

What Are AI Marketing Tests

We test AI tools, workflows, and strategies against real marketing tasks to find out what actually happens.

AI Tools

Does the tool actually perform the marketing task it promises to improve?

AI Workflows

Can multiple tools or steps work together to create a better process?

AI Strategies

Does the strategy produce a meaningful improvement when actually implemented?

The Techfee Testing Method

Every test follows the same four-step process.

01 

Find the Problem

Identify a genuine marketing task, bottleneck, inefficiency, or opportunity.

02

Test the AI Solution

Choose the relevant AI tool, strategy, or workflow and put it into practice.

03

Measure the Outcome

Track metrics like time, cost, quality, efficiency, traffic, leads, or conversions.

04

Explain the Verdict

Document what worked, what failed, who should use it, and if it is worth it.

Not Every Test Makes It Onto Techfee

A test should have a real reason for existing.

✓ Real Problem
There must be a genuine marketing problem or task.

✓ Clear Hypothesis
We need a reasonable expectation of what the AI solution might improve.

✓ Practical Test
The solution must actually be used, not evaluated from product claims.

✓ Measurable Outcome
There must be something meaningful to compare or observe.

✓ Honest Verdict
A failure or inconclusive result is still useful.

A failed experiment is not wasted work.
It is evidence.

What Can We Test?

We test across all major areas of marketing.

AI Content Marketing

Content planning, creation, optimization.

AI SEO

Research, optimization, analysis.

AI Social Media

Content, repurposing, publishing workflows.

AI Email Marketing

Personalization, campaigns, sequences.

AI Advertising

Creative, targeting, testing, optimization.

AI Local Marketing

Local content, listings, customer workflows.

AI Video & YouTube

Scripts, editing, repurposing, production.

AI Agents & Automation

Agents, repetitive tasks, systems.

AI Workflows & Systems

Multi-step marketing processes.

Real experiments. Real results. Real insights.

Completed   AI-MKT-001

Can AI Reduce the Time Required to Create a Weekly Social Media Content Plan?

Problem: Content planning takes too much time.

Test: AI-assisted multi-platform workflow.

Metric: Time Saved

4.2 hrs → 1.1 hrs

Verdict: Worth testing with human review.

Read Full Test →

Completed   AI-MKT-002

Does AI Writing Assistance Improve Blog Post Production Without Hurting Quality?

Problem: Writing takes too long.

Test: AI-assisted blog post workflow.

Metric: Time Saved, Quality

5.5 hrs → 2.3 hrs

Verdict: Useful with strong human editing.

Read Full Test →

In Progress   AI-MKT-003

Can AI Improve Organic Traffic With Better Content Optimization?

Problem: Content not ranking well.

Test: AI SEO optimization workflow.

Metric: Organic Traffic Change

Baseline Being Collected

Verdict: Testing in progress.

Read Full Test →

Inconclusive   AI-MKT-004

Is AI Email Personalization Worth the Extra Complexity?

Problem: Low email engagement.

Test: AI email personalization workflow.

Metric: Open Rate, CTR

No Clear Winner Yet

Verdict: More testing needed with larger sample.

Read Full Test →
View All Tests

What We Measure

We measure what actually matters for each test.

Time

How much manual time was saved?

Cost

What did it actually cost to run?

Quality

Was the output good enough to use?

Efficiency

Did the workflow reduce repetitive work?

Performance

Did it improve the relevant marketing metric?

Business Value

Did it contribute to leads, conversions, or revenue?

The metric follows the problem.

Every Test Follows the Same Format

So you always know what to expect.

01. The Problem
02. The Context
03. The Hypothesis
04. The Solution
05. The Setup
06. The Baseline
07. The Test
08. The Measurement
09. The Result
10. The Verdict
11. Who Should Use It
12. What I’d Change Next Time

Don’t Take AI Marketing Advice at Face Value.

See what happens when AI marketing ideas are tested against real problems, measured honestly, and explained without the hype.

Explore AI Marketing
Start Here

Have an AI marketing problem worth testing?

See All Our Latest AI Marketing Tests

Don’t Take AI Marketing Advice at Face Value.

See what happens when AI marketing ideas are tested against real problems, measured honestly, and explained without the hype.

Explore AI Marketing
Start Here

Have an AI marketing problem worth testing?

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