u/Competitive_War_1990

I'll be honest: when I launched my email prospecting campaign, I was only half-convinced it would work. Cold email has a reputation for being an "old school" technique, almost outdated in an era of targeted ads, programmatic SEO, and social selling. Spoiler: I was wrong.

Context: I built a tightly targeted email list focused on one specific profession that matches my tool's use case perfectly. No mass scraping, no purchased database, I took the time to identify the right profiles. That's probably the single biggest factor behind the results below.

The raw numbers

- Open rate: 39% (industry average is around 20-25%)

- Click-through rate to landing page: ~7% of recipients

- Conversion to free trial: ~0.5% of total emails sent

In other words, for every 1,000 emails sent, I get about 100 qualified visitors and 5 free trials. It sounds small, but in B2B with decent LTV, the ROI is absolutely there.

My approach: test before you blast

I didn't send 10,000 emails at once and pray. I worked in A/B testing batches of 1,000 addresses:

  1. First batch: test 2 different subject lines to identify the best open rate.

  2. Second batch: keep the winning subject line, test 2 different email bodies to compare click-through rates.

  3. Third batch: refine further (CTA, length, angle).

  4. Once the winning formula is locked in → scale up the sending.

In parallel, I iterated on the landing page to optimize the free trial conversion rate (headline, structure, form, social proof).

The key: solid tracking

This is the part I really want to emphasize. Without proper tracking, you're flying blind. You don't know if your new subject line actually converts better, if a landing page variant truly performs, or if the channel is profitable at all. I set up full tracking from day one: opens, clicks, LP visits, conversions. That's what let me make decisions based on real data instead of gut feeling.

What I take away from it

  1. Cold email isn't dead, it's just done badly by 90% of people. Most of the cold emails I personally receive are generic, poorly targeted, and reek of automation. If you put in the effort to personalize properly (I took real time to personalize each email, not fake {{firstname}} merge tags), you stand out instantly.

  2. Targeting > volume. A list of 500 prospects who genuinely match your ICP beats 5,000 emails sent blindly.

  3. The subject line drives most of your open rate. That's where you A/B test first.

  4. The landing page must match the email's promise exactly. End-to-end consistency = conversion follows.

What I did NOT do

- No purchased databases

- No 7-step follow-up sequences that end up annoying the prospect

- No copy-pasted templates from growth blogs

- No mass sending without validating the formula upfront

Conclusion

If you're launching a B2B product and hesitating to try cold email because it feels outdated: test it. But test it intelligently, small batches, rigorous A/B testing, proper tracking, LP iteration. It's one of the cheapest and most predictable acquisition channels once you find your formula.

reddit.com
u/Competitive_War_1990 — 9 days ago
▲ 3 r/SaaS

I'll be honest: when I launched my email prospecting campaign, I was only half-convinced it would work. Cold email has a reputation for being an "old school" technique, almost outdated in an era of targeted ads, programmatic SEO, and social selling. Spoiler: I was wrong.

Context: I built a tightly targeted email list focused on one specific profession that matches my tool's use case perfectly. No mass scraping, no purchased database, I took the time to identify the right profiles. That's probably the single biggest factor behind the results below.

The raw numbers

- Open rate: 39% (industry average is around 20-25%)

- Click-through rate to landing page: ~7% of recipients

- Conversion to free trial: ~0.5% of total emails sent

In other words, for every 1,000 emails sent, I get about 100 qualified visitors and 5 free trials. It sounds small, but in B2B with decent LTV, the ROI is absolutely there.

My approach: test before you blast

I didn't send 10,000 emails at once and pray. I worked in A/B testing batches of 1,000 addresses:

  1. First batch: test 2 different subject lines to identify the best open rate.

  2. Second batch: keep the winning subject line, test 2 different email bodies to compare click-through rates.

  3. Third batch: refine further (CTA, length, angle).

  4. Once the winning formula is locked in → scale up the sending.

In parallel, I iterated on the landing page to optimize the free trial conversion rate (headline, structure, form, social proof).

The key: solid tracking

This is the part I really want to emphasize. Without proper tracking, you're flying blind. You don't know if your new subject line actually converts better, if a landing page variant truly performs, or if the channel is profitable at all. I set up full tracking from day one: opens, clicks, LP visits, conversions. That's what let me make decisions based on real data instead of gut feeling.

What I take away from it

  1. Cold email isn't dead, it's just done badly by 90% of people. Most of the cold emails I personally receive are generic, poorly targeted, and reek of automation. If you put in the effort to personalize properly (I took real time to personalize each email, not fake {{firstname}} merge tags), you stand out instantly.

  2. Targeting > volume. A list of 500 prospects who genuinely match your ICP beats 5,000 emails sent blindly.

  3. The subject line drives most of your open rate. That's where you A/B test first.

  4. The landing page must match the email's promise exactly. End-to-end consistency = conversion follows.

What I did NOT do

- No purchased databases

- No 7-step follow-up sequences that end up annoying the prospect

- No copy-pasted templates from growth blogs

- No mass sending without validating the formula upfront

Conclusion

If you're launching a B2B product and hesitating to try cold email because it feels outdated: test it. But test it intelligently, small batches, rigorous A/B testing, proper tracking, LP iteration. It's one of the cheapest and most predictable acquisition channels once you find your formula.

reddit.com
u/Competitive_War_1990 — 9 days ago

I'll be honest: when I launched my email prospecting campaign, I was only half-convinced it would work. Cold email has a reputation for being an "old school" technique, almost outdated in an era of targeted ads, programmatic SEO, and social selling. Spoiler: I was wrong.

Context: I built a tightly targeted email list focused on one specific profession that matches my tool's use case perfectly. No mass scraping, no purchased database, I took the time to identify the right profiles. That's probably the single biggest factor behind the results below.

The raw numbers

- Open rate: 39% (industry average is around 20-25%)

- Click-through rate to landing page: ~7% of recipients

- Conversion to free trial: ~0.5% of total emails sent

In other words, for every 1,000 emails sent, I get about 100 qualified visitors and 5 free trials. It sounds small, but in B2B with decent LTV, the ROI is absolutely there.

My approach: test before you blast

I didn't send 10,000 emails at once and pray. I worked in A/B testing batches of 1,000 addresses:

  1. First batch: test 2 different subject lines to identify the best open rate.

  2. Second batch: keep the winning subject line, test 2 different email bodies to compare click-through rates.

  3. Third batch: refine further (CTA, length, angle).

  4. Once the winning formula is locked in → scale up the sending.

In parallel, I iterated on the landing page to optimize the free trial conversion rate (headline, structure, form, social proof).

The key: solid tracking

This is the part I really want to emphasize. Without proper tracking, you're flying blind. You don't know if your new subject line actually converts better, if a landing page variant truly performs, or if the channel is profitable at all. I set up full tracking from day one: opens, clicks, LP visits, conversions. That's what let me make decisions based on real data instead of gut feeling.

What I take away from it

  1. Cold email isn't dead, it's just done badly by 90% of people. Most of the cold emails I personally receive are generic, poorly targeted, and reek of automation. If you put in the effort to personalize properly (I took real time to personalize each email, not fake {{firstname}} merge tags), you stand out instantly.

  2. Targeting > volume. A list of 500 prospects who genuinely match your ICP beats 5,000 emails sent blindly.

  3. The subject line drives most of your open rate. That's where you A/B test first.

  4. The landing page must match the email's promise exactly. End-to-end consistency = conversion follows.

What I did NOT do

- No purchased databases

- No 7-step follow-up sequences that end up annoying the prospect

- No copy-pasted templates from growth blogs

- No mass sending without validating the formula upfront

Conclusion

If you're launching a B2B product and hesitating to try cold email because it feels outdated: test it. But test it intelligently, small batches, rigorous A/B testing, proper tracking, LP iteration. It's one of the cheapest and most predictable acquisition channels once you find your formula.

reddit.com
u/Competitive_War_1990 — 9 days ago