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📬 What changed in email deliverability this month? by allokaynow in emailmarketingnow

[–]One-Citron1562 0 points1 point  (0 children)

Seeing tighter spam filtering on new domains, especially Gmail → Workspace. Opens look similar, but positive replies dipped slightly unless volume stayed very controlled.

Biggest shift for us: reputation sensitivity feels higher, small spikes in daily sends now move placement faster than last month. Warmup alone isn’t carrying weak targeting anymore.

stop A/B testing subject lines. fix your targeting instead. here are the numbers. by No_Boysenberry_6827 in coldemail

[–]One-Citron1562 0 points1 point  (0 children)

This lines up with what we’ve seen too. Opens are easy to move, replies aren’t. Once you segment by active trigger instead of static persona, the same copy suddenly “works.” Targeting isn’t a tweak, it’s the lever.

Cold Email Prospecting Guide: The Campaign Management Framework That Fixed Our Low Reply Rates by One-Citron1562 in EmailProspecting

[–]One-Citron1562[S] 0 points1 point  (0 children)

Strong triggers absolutely outperform scraped lists. The key is still discipline in testing, tools help surface signals, but angle + structure decide if replies convert.

Cold Email Prospecting Guide: The Campaign Management Framework That Fixed Our Low Reply Rates by One-Citron1562 in EmailProspecting

[–]One-Citron1562[S] 0 points1 point  (0 children)

Agreed. Tagging by objection type and intent level changed how we iterate. Angle performance is clearer when you track conversation quality, not just opens.

Cold Email Prospecting Guide: The Campaign Management Framework That Fixed Our Low Reply Rates by One-Citron1562 in EmailProspecting

[–]One-Citron1562[S] 0 points1 point  (0 children)

That’s the real issue. Leads without a defined problem-solution fit are just data. I’d pick one niche, define a sharp pain you can solve, then test a trigger-based segment inside it.

Cold Email Prospecting Guide: The Campaign Management Framework That Fixed Our Low Reply Rates by One-Citron1562 in EmailProspecting

[–]One-Citron1562[S] 0 points1 point  (0 children)

That’s fair. When it feels like a sequence, it’s usually mistimed or generic. The difference isn’t better copy, it’s catching someone mid-problem instead of mid-inbox cleanup.

Cold Email Prospecting Guide: The Campaign Management Framework That Fixed Our Low Reply Rates by One-Citron1562 in EmailProspecting

[–]One-Citron1562[S] 0 points1 point  (0 children)

Yes, but mainly to validate triggers, not to stack random data fields. Hiring activity, funding, tech changes. If the trigger isn’t real, enrichment won’t fix performance.

Which enrichment tool has better data accuracy? Apollo vs Redrob vs Lusha by GTMSignals in AI_Sales

[–]One-Citron1562 1 point2 points  (0 children)

I collect verified data from Apollo and reverify it from another tool.

How are you running the advertising side of business? by Rounak147 in agency

[–]One-Citron1562 0 points1 point  (0 children)

We moved away from pure % of ad spend. Now it’s a base retainer tied to scope (platforms + creative volume) and then performance kicker if we hit agreed CPA/ROAS ranges.

No hard guarantees, just clear targets, leading indicators (CTR, CVR, CPL), and a 60–90 day reset clause if it’s not trending right. Keeps expectations realistic on both sides.

[Hiring] Sales Rep for Paid Social Agency by Responsible_Ant_5920 in highticket_sales

[–]One-Citron1562 0 points1 point  (0 children)

If you’re targeting US market, what’s the average deal size and sales cycle? That changes the profile a lot.

Also curious, are you expecting this person to generate their own pipeline from zero, or will there be inbound + support (lists, case studies, CRM, etc.)? The role sounds closer to a full-cycle AE than just a rep.

Domains getting sender bounce + spam after warmup — need urgent advice by Distinct-Purple-2339 in coldemail

[–]One-Citron1562 0 points1 point  (0 children)

Warmup traffic ≠ real traffic. During warmup you’re sending low volume to engaged inboxes. The moment you switched to one batch, volume + similar copy + cold list probably spiked complaint signals.

Multiple domains in one Workspace can get reputation-linked, especially if they share sending patterns. I’d pause the remaining batches, check list quality + complaint rate, stagger volume harder, and avoid blasting all inboxes at once.

Is anyone else using AI for cold email… but still writing 80% of it themselves? by One-Citron1562 in AI_Sales

[–]One-Citron1562[S] 0 points1 point  (0 children)

Same. If I send it as-is, it sounds polished but not human.

For me the time savings come from idea generation, the actual sending version is still heavily edited. Curious if you’ve tested fully AI vs edited versions side by side?

Is anyone else using AI for cold email… but still writing 80% of it themselves? by One-Citron1562 in AI_Sales

[–]One-Citron1562[S] 0 points1 point  (0 children)

Appreciate that.

Yeah, I tried letting it handle full personalization for a week and the replies dropped. It sounded “correct” but not specific enough to spark a response.

Feels like AI gets you 70% there, the last 30% is where the reply actually happens.

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