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Here’s how to decide:
Test Thoroughly: Ensure each messaging change has been tested on at least 200 leads across all key metrics—open rate, reply rate, positive reply rate, and lead-to-meeting conversion.
Evaluate Results: If, after 3–5 complete iterations, improvements remain marginal and the numbers stay well below benchmarks, the campaign isn’t resonating with your audience.
Reassess and Pivot: Document all learnings from your tests. Use these insights to refine your ICP research and messaging strategy for future campaigns rather than sinking more time into an underperforming approach.
Once you've decided to give up on a campaign, the best next move is to regroup and refocus. Go back to your list of campaign ideas and pick a new angle—ideally one that solves a different problem, highlights a different value prop, or targets a different persona. Use everything you learned from the failed campaign to inform your next test. And remember, every failed campaign is just one step closer to finding the one that works.
You have until April 15th to make moves that impact your 2025 return.
Here's what you can still do.
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*Test new opening sentences
These are the only messaging-related factors that impact open rates (i.e. not targeting or deliverability)
Once open rates are at 40%+, turn off open tracking completely for better deliverability.
Turning off open tracking can improve deliverability because tracking pixels can trigger spam filters and make emails look less trustworthy to inbox providers. It also removes invisible code that some security tools flag, reducing the chance of landing in spam or promotions. This helps ensure more emails reach the primary inbox.
However, turn it on if you need visibility into who’s engaging with your emails to prioritize follow-ups or test subject lines
1. Open rate (Benchmark: 40%)
2. Reply rate (Benchmark: 2%)
3. Positive reply rate (Benchmark: 25%)
4. Lead-to-meeting rate (Benchmark: 50% pos. reply to meeting booked)
You must address and fix each one in a sequential order.
Keep in mind, every iteration you make should be tested on at least 200 leads before the test is complete.
One other important factor is in how you think about sequence. Instead of spending time creating a 3+ email sequence before knowing if email 1 works, create 5 versions of email one and test that until it hits the desired benchmarks.
Once email 1 is at the desired benchmark, add an email 2 and repeat the process – adding more and more emails until you can no longer reach that benchmark.
Create an offering overview Create a comprehensive analysis for [YOUR WEBSITE HERE] by examining multiple sources.
RESEARCH SOURCES:
Company Website: BusinessRefund.com
Homepage and product/service pages
Features/capabilities documentation
Case studies and testimonials
Blog posts and resources
About pages
Support/help documentation
Pricing pages
