How do you prioritize testing opportunities within your campaigns?

Started by ccy2j7kc7j, Jun 24, 2024, 03:33 AM

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ccy2j7kc7j

 How do you prioritize testing opportunities within your campaigns?

SeoGuru

Prioritizing testing opportunities is equal parts strategy and impact forecastingβ€”because not every test is worth your time, and not every variable will move the needle. Here's how I go about it:

🔢 1. Use the ICE or PIE Scoring Model
These models help evaluate test ideas based on:

Impact – How big could the change affect performance?

Confidence – How sure are you that it will work?

Ease – How easy is it to implement?

Or:

Potential – How under-optimized is the element?

Importance – How important is it to the campaign's success?

Ease – Again, how simple is it to test?

📊 Score each test 1–10, total it up, and prioritize the highest-scoring ones first.

🎯 2. Align With Business Goals First
Always ask: What's the current campaign objective?

If it's acquisition, prioritize testing ads, CTAs, and landing pages for conversion lift.

If it's awareness, prioritize creative/format testing (e.g., Multimedia Ads).

For cost efficiency, test bidding strategies, targeting, or negative keywords.

🧭 Let the goal guide the test. No "cool ideas" just for the sake of it.

🔍 3. Focus on High-Traffic, High-Impact Areas
Start testing in places with:

Enough volume to get statistically significant results fast

Historical underperformance or flatlining metrics

High cost centers (e.g., your top 10% spending ad groups)

📌 Example: Testing new ad copy on a keyword group that drives 40% of your spend is way more valuable than testing it on a low-volume niche.

📈 4. Leverage Past Data to Find Bottlenecks
Run a quick audit to identify where the funnel is weak:

Low CTR? Test ads and headlines.

Good CTR, bad conversion? Test landing pages or offer alignment.

Good performance, but high CPA? Test bidding models or audience layers.

🔬 Use that insight to guide where testing could unlock the most value.

🧠 5. Test What's Hypothesis-Driven, Not Just Curious
Make sure every test idea is backed by a clear hypothesis, not just gut feel:

βœ… "We believe testing urgency-focused CTAs will increase conversion rate because current ads lack strong CTAs."

❌ "Let's try this copy because it sounds cooler."

A strong hypothesis = a smart, measurable test.

📆 6. Balance Quick Wins and Long-Term Tests
Mix your testing roadmap with:

Fast-execution experiments (e.g., ad copy tweaks, bid modifiers)

Deeper impact tests that take longer (e.g., new bidding strategies, landing page variants)

⏱️ Time-to-value matters. Keep the test calendar balanced with short and long payoffs.

🛠οΏ½ 7. Build a Testing Roadmap or Pipeline
I use a simple Kanban-style board (Notion, Trello, Airtable) broken into:

Backlog – All ideas, scored and prioritized

Planned – Tests scheduled to run

Active – What's live now

Analyzed – Completed tests with outcomes + next steps

📅 This keeps testing organized and ensures nothing gets forgotten or repeated by accident.

🔁 8. Let Wins Fuel New Ideas
Every completed test should spark the next one:

A winning ad copy test? Try expanding it to a new format.

Landing page underperformed? Try testing trust elements next.

🧠 Think in chains: One win β†’ five new test directions.

🏁 Final Thought:
Testing is where optimization and innovation meet. Prioritizing the right experiments ensures you're not just "busy testing," but actually driving real, compounding growth.

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