Anna York

SEO meets AI | 10x Your Brand's Success with Proven Tactics 📈 | Follow ➡️ for actionable How-to guides!

I help brands and marketers stay visible as search shifts from clicks to AI answers.

At the intersection of SEO and AI, I create practical strategies so your content appears in AI answers, gets cited, and drives measurable ROI.

I’m currently writing Become AI Visible, a hands-on guide to being seen in AI systems.
Updates and early access are shared via the waitlist.

Member

"Brand30" is a 30-day challenge designed to help you create a personal brand on LinkedIn.

12 elements your landing page needs to be visible in AI search 👇 

Most pages are built for Google only.
Not for ChatGPT.
Not for Perplexity.
Not for Gemini.

That means no visibility in AI answers.
No recommendations.
No new organic traffic.

Search has changed.
Ranking keywords is no longer enough.

You now need an AI-Visible landing page.

A page that does three things:

→ Builds trust for humans and AI
→ Answers real questions, not just keywords
→ Converts high-intent organic traffic

I’m currently writing Become AI-Visible.
A practical guide on how to show up inside AI answers.

This checklist is a direct excerpt from the guide.

Here’s my 12-point checklist 👇

1. Headline + subheadline
Clear outcome.
Entity-based language.
Specific audience.

Example:
“The AI-Powered SEO Strategy for B2B SaaS Teams.”

2. A real hero asset
Not a stock image.
A video, diagram, or data.
Something AI would actually cite.

3. Above-the-fold CTA
One clear action.
No scrolling needed.

4. Authority signals
Client logos.
Media mentions.
Podcast appearances.

5. Problem → solution in Q&A
Ask the question your buyer asks AI.
Answer it clearly.

6. Features → outcomes
What does this enable?
What changes after using it?

7. Case studies
Real people.
Real names.
Real numbers.

8. Clear pricing
No confusion.
Anchor price to value and ROI.

9. Final CTA + intent offer
Repeat the action.
Offer a high-value resource.

10. Human support
Live chat.
Clear contact.
Real experts behind the page.

11. SEO basics still matter
Speed.
Mobile.
Clean structure.

12. AI visibility elements
Entity schema.
Structured data.
Consistent messaging everywhere.


This is the new SEO.

I’m sharing updates and early access to Become AI-Visible via the waitlist.

👉  If you want the guide first, join here:  https://lnkd.in/exGt-VAK


P.S. When you join, you’ll also get a high-resolution infographic with a detailed explanation for each point.

—

 #AIVisible #SEO #AI #LLM #FutureOfSearch #DigitalMarketing

SEO meets AI | LinkedIn Top 12 AI Voice to follow in Europe | Practical guides

Google dropped 10 Free AI Training every Marketer should know

No sign-up.
No theory.

Just workflows you can apply this week.

If you work in marketing, this is worth saving 🔖


1) Gemini Gems: Marketing Sidekick
Automate repetitive marketing tasks with agents.
Think: briefs, summaries, content prep, analysis.
↳ https://lnkd.in/g67UER6T

2) Pro Prompting in Google Workspace
How to use prompts inside Docs, Sheets, Gmail, Slides.
This is where AI actually saves time.
↳ https://lnkd.in/gQpHhmEV

3) Easy Content Generation with Gemini
Create drafts, variations, and content formats faster.
Useful for blogs, social, and internal docs.
↳ https://lnkd.in/gs8gQSG8

4) Personalization with Custom Prompts
Learn how to tailor AI outputs by audience, tone, and intent.
This is where generic AI turns into brand-aligned content.
↳ https://lnkd.in/gvqaw69U

5) Email Content Creation
Write, refine, and optimize emails with AI
Great for newsletters and campaigns.
↳ https://lnkd.in/g6uAJUCt

6) AI for Inbox Management
Use AI to prioritize, respond, and clean up inbox overload.
Underrated productivity win for marketers.
↳ https://lnkd.in/g56PR6hE

7) Exec Summaries with Gemini Gems
Turn messy notes and long documents into clear summaries.
Perfect for reporting, strategy docs, and stakeholder updates.
↳ https://lnkd.in/gqKYV-9B

8) Gemini Slide Summaries
Generate concise summaries from presentations in Slides.
Useful when decks pile up faster than time.
↳ https://lnkd.in/gaxGQctq

9) Create Docs in Seconds
Generate outlines and first drafts for Docs using AI.
Great starting point for SOPs, content, and strategy docs.
↳ https://lnkd.in/gCgFPpRm

10) Gemini Image-to-Sheets Hack
Extract data from images and convert it directly into Google Sheets.
Useful for audits, screenshots, and reports.
↳ https://lnkd.in/gN5xgm3u


Bigger picture:
AI isn’t replacing marketers.
It’s replacing manual work inside the tools we already use.

The advantage now isn’t “knowing AI.”
It’s designing better workflows.

P.S. Save this. You’ll come back to it. 🙋

6 of Google’s most powerful SEO tools (100% free)

Most SEO teams pay thousands for tools
that try to guess what Google wants.

Meanwhile, Google already tells you, for free.

If you want to win SEO in 2026, you don’t need more software.

You need to master these 6 tools:

1️⃣ Google Search Console
 This is Google talking to you directly.
→ Rankings, indexing, crawl issues, real queries.

2️⃣ Google Analytics 4
 Traffic doesn’t matter. Behavior does.
→ Engagement, drop-offs, conversions, and user journeys that explain why pages fail or win.

3️⃣ PageSpeed Insights
 Slow pages don’t rank. Period.
→ Core Web Vitals + exact fixes Google expects you to make.

4️⃣ Google Trends
 Search volume is lagging data.
→ Trends show demand before everyone else reacts.

5️⃣ Google Tag Manager
 Bad tracking = bad SEO decisions.
→ Full control over data without waiting on developers.

6️⃣ Looker Studio
 If insights aren’t visible, they don’t exist.
→ Dashboards that turn GSC + GA4 into decisions, not PDFs no one reads.


Hard truth:
These tools aren’t “beginner SEO.”
They’re the foundation of every serious SEO strategy.

Your turn:
 → Which one do you use daily?
 → Which one is still underused on your team?

Drop it in the comments. 👇 


P.S. Building "Become AI-Visible" , a practical guide to ranking inside AI answers.

👉 Sharing progress + early access via the waitlist ↓
https://lnkd.in/eCm-wuAf


----

#SEO #GoogleTools #SEO2026 #DigitalMarketing #SEOTools #AISEO

AI SEO Checklist (2026):
How to make your brand visible in AI search 👇

In 2026, visibility is about 
authority, clarity, and structure.

I’m currently writing Become AI-Visible.
A practical guide on how to show up inside AI answers.

This checklist is a direct excerpt from the guide.

The AI SEO Checklist (2026).
Here’s the breakdown 👇

1. Entity authority & brand definition
 AI doesn’t rank pages.
 It recognizes entities.

▫️ Consistent brand definitions everywhere
▫️ Topical clusters with strong pillar pages
▫️ Semantic internal linking
▫️ Wikipedia / Wikidata presence
▫️ Original research and case studies

2. GEO & citation strategy
 AI prefers answers, not fluff.

▫️ Answer-first content structure
▫️ High fact density
▫️ Authoritative citations
▫️ Expert quotes and testimonials
▫️ Zero ambiguity

3. Content structure & format
 If it’s hard to scan, AI skips it.

▫️ Short semantic paragraphs
▫️ Question-based headers
▫️ Lists, tables, step-by-steps
▫️ Deep FAQ sections
▫️ Video transcripts

4. Platform-specific optimization
 Each AI system pulls from different sources.

▫️  Google AI Overviews = E-E-A-T
▫️  Perplexity = Reddit + freshness
▫️  ChatGPT = Wikipedia-style clarity
▫️  Monitor global AI differences

5. Local SEO & multi-channel presence
AI validates you across the web.

▫️ NAP consistency
▫️ Optimized Google Business Profile
▫️ Local long-tail keywords
▫️ Local backlinks and citations
▫️ Updated directories

6. Owned channels & community
AI trusts brands with direct audiences.

▫️ Email list growth
▫️ Active communities
▫️ Interactive content
▫️ Referral loops
▫️ Live sessions and challenges

7. Technical & AI crawlability
If AI can’t crawl you, you don’t exist.

▫️ AI bots allowed in robots.txt
▫️ Schema (FAQ, HowTo, Article)
▫️ Fast, mobile-first pages
▫️ Server log monitoring
▫️ CDN compatibility

8. Monitoring & performance
What you don’t track, you can’t win.

▫️ AI citations and mentions
▫️ AI share of voice
▫️ AI bot traffic in GA4
▫️ Summary accuracy checks
▫️ Reverse-engineer what works

This is modern SEO.

I’m sharing updates + early access to 
Become AI-Visible via the waitlist.

👉 If you want the guide first, join here: 
https://lnkd.in/exGt-VAK


P.S. When you join, you’ll also get a 
high-resolution AI SEO Checklist 
with a detailed explanation for each point. 🙋

How to stay on top of search… 
even as AI replaces the top 10 results.

Search is moving faster than most teams realize.

The 10 blue links we chased?
AI is answering them now. 🤖

But your SEO foundation isn’t obsolete.

Look at this visual:

🔸 Left – Traditional SEO
User intent. 
Page experience. 
Keyword research. 

→ Still essential.

🔹 Right – AI & GEO
“Prompt gaps.” 
AI bot behavior. 
Passage-based content. 

→ Early adopters’ advantage.

💚 Center – The Sweet Spot
This is where fundamentals meet AI-ready strategies.
E-E-A-T. 
Site architecture. 
Structured data.

→ Machines love it. Humans engage with it.

Teams doubling down here?
They build brands machines trust and humans love.

So… where is your team investing this quarter?
Left 🔸   Right 🔹 Center 💚

---


P.P.S. Full explanation -> Read the full article 👇

P.P.S. Visual inspired by Screaming Frog.

Most marketing teams are still optimizing for 2022. But when AI answers the user’s question directly, the old SEO playbook doesn’t just fail, it disap

Open article: How to stay on top of search… even as AI replaces the top 10 results by Anna York • 2 min read

How to stay on top of search… even as AI replaces the top 10 results

Most SaaS teams don’t have an email problem. 

They have a signal problem. 

Your users tell you everything through behavior: 
👉What they touched
👉What they skipped
👉Where they stalled
👉What they repeated
👉When they’re ready to pay

But if your lifecycle still runs on generic onboarding.

Your trial users don’t get to the value.

Activation stalls.

And your trial-to-paid numbers drop.

I fix that.

I build lifecycle systems that react to what users do, or (equally important) what they didn’t do.

🚥SIGNAL + Reverb🔁

SIGNAL is my method for turning behavioral signals into conversions:

S -  Segment: Group users by cohorts + actions that matter
I - Interpret: Read the behavior + find the AHA moment + understand the journey
G - Generate: Write the messages for fast time to value
N - Nurture: Pinpoint the win-back micro cycles (REVERB)
A - Automate: Establish and automate triggers
L - Learn: Measure, adjust, and tighten the path

Reverb is the recovery layer: Short micro-cycles that fire when users miss the action that would have moved them forward. 

What I Do for SaaS Teams

✅Find where trial users leak and why

✅Define the AHA path and make it measurable

✅Build behavior-triggered onboarding + activation flows

✅Add Reverb loops to recover stalls before the trial dies

✅Strengthen the upgrade moment so paid feels obvious

If your product works but trial-to-paid doesn’t, you need a system that listens.

📪 DM me “SIGNAL” if you want a fast trial-to-paid leak audit and the top activation fixes you can implement ASAP.

Simonida Jovanovic

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝘁𝗿𝗶𝗮𝗹 𝗲𝗺𝗮𝗶𝗹𝘀 𝗳𝗲𝗹𝘁 𝗹𝗲𝘀𝘀 𝗹𝗶𝗸𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗹𝗶𝗸𝗲 𝗮 𝘁𝗲𝗮𝗺𝗺𝗮𝘁𝗲 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘂𝘀𝗲𝗿𝘀 𝘁𝗼 𝘁𝗵𝗲𝗶𝗿 𝗳𝗶𝗿𝘀𝘁 𝘄𝗶𝗻?
 
Most trial emails sound like they were written by Legal and Product after three coffees and zero user interviews.
 
“Did you know you can also do X, Y, Z, and 17 other things?”  

Cool. 

I can barely do my actual job.
 
What would it look like if trial email felt like a teammate?
 
A good teammate doesn’t dump the whole feature set on you. 

They say:
 
“Do this first. Here’s why it matters. I’ll be right here if you get stuck.”
 
That’s the job of lifecycle:  Not to “educate” in the abstract, but to 𝘀𝗵𝗲𝗽𝗵𝗲𝗿𝗱 𝗽𝗲𝗼𝗽𝗹𝗲 𝘁𝗼 𝗼𝗻𝗲 𝗰𝗹𝗲𝗮𝗿 𝘄𝗶𝗻.
 
Under the hood, that’s what I’m doing with SIGNAL + Reverb:
 
• Watch how people behave
• Decide what “first win” actually is
• Nudge them there with friendly, precise timing
 
Your users don’t want more marketing.  

They want someone to quietly walk them to “oh, this makes my life easier.”

Need help with that?

✨𝗠𝘆 𝗗𝗠𝘀 𝗮𝗿𝗲 𝗮 𝘀𝗮𝗳𝗲 𝘀𝗽𝗮𝗰𝗲✨

Turn your trail-to-paid sequences into a no-brainer | Lifecycle email based on the SIGNAL system

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝘁𝗿𝗶𝗮𝗹 𝘄𝗮𝘀𝗻’𝘁 𝗮 𝘁𝗲𝘀𝘁 𝗼𝗳 𝘂𝘀𝗲𝗿 𝗽𝗮𝘁𝗶𝗲𝗻𝗰𝗲, 𝗯𝘂𝘁 𝗮 𝗳𝗮𝘀𝘁 𝗹𝗮𝗻𝗲 𝘁𝗼 𝗼𝗻𝗲 𝘂𝗻𝗱𝗲𝗻𝗶𝗮𝗯𝗹𝗲 𝗿𝗲𝘀𝘂𝗹𝘁?
 
Let’s be honest: half of all “free trials” are just UX obstacle courses with better branding.
 
Sign up.  

Onboard.  

Configure.  

Integrate.  

“Now you can start.” (They never do.)
 
What if your trial said:
 
“Give me 10 minutes and I’ll fix one annoying thing in your workflow today.”
 
That’s a completely different promise.
 
To make that real, you need:
 
• A brutally honest definition of “undeniable result”
• A stripped-down path to get there
• Lifecycle that clears obstacles instead of adding more
 
That’s why I care about micro-loops more than mega-campaigns.
 
Reverb is basically:  “What is the next tiny step that keeps them on the fast lane?”
 
If your trial currently tests patience more than it delivers outcomes, your users are not the ones failing the test.

Need help with that?

✨My DMs are a safe space✨

𝗣𝗶𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗶𝘀: 𝘆𝗼𝘂 𝗹𝗼𝗴 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗮𝗻𝗱 𝘁𝗿𝗶𝗮𝗹→𝗽𝗮𝗶𝗱 𝗷𝘂𝗺𝗽𝗲𝗱 𝟯 𝗽𝗼𝗶𝗻𝘁𝘀, 𝘄𝗶𝘁𝗵 𝘇𝗲𝗿𝗼 𝗲𝘅𝘁𝗿𝗮 𝗮𝗱 𝘀𝗽𝗲𝗻𝗱.
 
Founders love to talk about “doubling signups.”
 
Cool.  

What if your signups stayed exactly the same and revenue still went up?
 
An 3-point lift in trial→paid doesn’t look sexy on Twitter, but inside your bank account? 

Different story.
 
That jump rarely comes from one magic email. 

It comes from:
 
• Stop treating trials as “one audience”
• Start treating them as: “never logged in,” “poked around,” “almost there,” “activated but unpaid”
• Then respecting those differences in your lifecycle
 
This is why I obsess over behavioral signals.  

Not because I like dashboards (I don’t).  

Because once you can 𝘴𝘦𝘦 where people stall, your copy finally has something useful to do.
 
It stops being “nice to have nurture” and becomes:  “Here’s where we get 3 points back without touching ad spend.”

Need help with that?

✨My DMs are a safe space✨

𝗜𝗺𝗮𝗴𝗶𝗻𝗲 𝗸𝗻𝗼𝘄𝗶𝗻𝗴, 𝗯𝘆 𝗗𝗮𝘆 𝟯 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗿𝗶𝗮𝗹, 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗶𝗰𝗵 𝘂𝘀𝗲𝗿𝘀 𝘄𝗶𝗹𝗹 𝗰𝗼𝗻𝘃𝗲𝗿𝘁 (and being right most of the time)
 
By Day 3, your trial is already telling you who’s serious and who’s just clicking buttons.
 
But most teams don’t listen.  

They look at a big list of “Active Trials” and treat everyone the same.
 
Reality: your product has 𝗲𝗮𝗿𝗹𝘆 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 that scream:
 
• “This person will buy”
• “This person will never log in again”
• “This person could go either way”
 
Once you know what those signals are, everything changes:
 
• Sales knows who to prioritize
• Lifecycle knows who to push, who to support, and who to bless and release
• You stop pouring emotional energy into users who were never going to convert
  
It’s not magic. 

It’s behavior.  

And once you can see it, it’s very hard to go back to treating all trials the same.

Need help with that?

✨My DMs are a safe space✨

Most free trials are basically:
 
“Welcome, here’s the cockpit of a Boeing 747.  Good luck.”
 
Then everyone panics when people don’t convert.
 
A great trial feels like it shipped with a guide baked in:
 
• “Click this one thing first.”
• “Now add 𝘰𝘯𝘦 real example from your world.”
• Here’s the moment where most people say, "Oh. There it is."
 
That guide doesn’t have to be a human.  

It can be your onboarding, your empty states, and yes - your lifecycle emails.
 
This is why I like pairing SIGNAL (map the behavior) with Reverb (the micro-nudges):
 
• The map tells us what “no-brainer” looks like in your product
• The nudges walk users there, step by step
 
The alternative is what most teams are doing now:
 
Ship the Boeing.  

Hope they can fly it.  

Discount when they can’t.

Wanna help your users fly the plane? 

✨My DMs are a safe space✨

𝗜𝗺𝗮𝗴𝗶𝗻𝗲 𝗮 𝘄𝗼𝗿𝗹𝗱 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝘀𝗻’𝘁 ‘𝗺𝗼𝗿𝗲 𝘀𝗶𝗴𝗻𝘂𝗽𝘀’ 𝗯𝘂𝘁 ‘𝗵𝗼𝘄 𝗳𝗮𝘀𝘁 𝗰𝗮𝗻 𝘄𝗲 𝗼𝗻𝗯𝗼𝗮𝗿𝗱 𝗮𝗹𝗹 𝘁𝗵𝗲𝘀𝗲 𝗻𝗲𝘄 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀.
 
Founders love to say “it’s a good problem to have” about literally awful problems.
 
Churn is not a good problem to have.  

Dead trials are not a good problem to have.
 
“Too many new customers to onboard properly”?  

I’ll allow it.
 
You can get there when:
 
• Trial→paid works without constant discounting
• The product is good 𝘢𝘯𝘥 the journey is clear
• Lifecycle quietly does 80% of the heavy lifting
 
Most teams hit a ceiling because every extra signup brings more chaos.
 
When we wire SIGNAL + Reverb in properly, the opposite happens:
 
• Growth doesn’t feel scary
• You know what happens to a trial the moment they sign up
• Onboarding becomes scalable instead of “Betty is doing her best”
 
Yes, you still need more signups.  

But fix the engine first, then floor it.

Need help with that?
 
✨My DMs are a safe space✨

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝘁𝗿𝗶𝗮𝗹 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗱𝗶𝗱 𝗶𝘁𝘀 𝗷𝗼𝗯 𝗮𝗻𝗱 𝘀𝗮𝗹𝗲𝘀 𝗼𝗻𝗹𝘆 𝘀𝗽𝗼𝗸𝗲 𝘁𝗼 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗵𝗼 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘀𝗮𝘄 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗲?
 
You know those sales calls where the rep spends 45 minutes doing what the product and emails 𝘴𝘩𝘰𝘶𝘭𝘥 have done?
 
That’s not “consultative selling.”  

That’s unpaid onboarding.
 
When lifecycle is doing its job:
 
• Trials hit one real outcome before they ever meet sales
• Emails handle the “what is this / why should I care” part
• Sales gets to talk about implementation, fit, and money
 
Everybody wins:
 
• The user feels smart, not confused
• Sales pipeline is full of adults, not tire-kickers
• Your team doesn’t secretly resent marketing for sending “unqualified” trials
 
You don’t need more “content.”  

You need a system that delivers 𝗽𝗿𝗼𝗼𝗳 𝗼𝗳 𝘃𝗮𝗹𝘂𝗲 before a human ever joins the call.

Need help with that?

✨My DMs are a safe space✨

𝗣𝗶𝗰𝘁𝘂𝗿𝗲 𝗮 𝘁𝗿𝗶𝗮𝗹 𝘄𝗵𝗲𝗿𝗲 𝘂𝘀𝗲𝗿𝘀 𝗱𝗼𝗻’𝘁 𝘄𝗮𝗻𝗱𝗲𝗿. 𝗧𝗵𝗲𝘆 𝗵𝗶𝘁 𝗼𝗻𝗲 𝗰𝗹𝗲𝗮𝗿 𝗼𝘂𝘁𝗰𝗼𝗺𝗲 𝗮𝗻𝗱 𝘁𝗵𝗲𝗻 𝗮𝘀𝗸 𝘆𝗼𝘂 𝗵𝗼𝘄 𝘁𝗼 𝗽𝗮𝘆.

When you design a trial around 𝘰𝘯𝘦 clear outcome, behavior shifts:
 
• People stop randomly clicking through features
• They follow a simple path to a “wow, that’s better” moment
• Upgrades feel like the obvious next step, not a hard pivot
 
This is where lifecycle gets misunderstood.
 
It’s not:
 
“Send 7 emails over 14 days.”
 
It’s:
 
“Engineer one outcome.  Use product + emails + timing to make that outcome almost inevitable.”
 
And yes, it’s a lot less work than endlessly polishing a tour that nobody finishes.
 
Need help with that?

✨My DMs are a safe space✨

Hot take: users don’t hate email.  They hate irrelevant email.
 
The bar is absurdly low:
 
• “Talk to me about what I’m actually trying to do.”
• “Don’t shout features at me when I’m clearly stuck on step one.”
• “Respect the fact that my trial is happening inside a busy week, not a vacuum.”
 
That’s why behavioral signals matter more than clever copy.
 
If they just imported data and your next email says, “Did you know we have dashboards?”  you missed.
 
If they stalled halfway through setup and your next email is a product update,  you missed.
 
When you add micro-cycles on top of your sequence, you’re essentially saying:
 
“Let’s only talk when we have something genuinely helpful to say.”
 
That's when a user thinks,  “Wait, how did you know I was exactly here?”

And by "here," I don't mean in their living room wearing yesterday's pajamas. 
 
That’s creepy. 

I mean, "here," stuck in your product, not knowing what to do next. 

That's when the magic happens. 

Need help with that?

✨My DMs are a safe space✨

𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝘁𝗿𝗶𝗮𝗹-𝘁𝗼-𝗽𝗮𝗶𝗱 𝗶𝘀 𝗼𝗳𝘁𝗲𝗻 𝗰𝗵𝗲𝗮𝗽𝗲𝗿 𝘁𝗵𝗮𝗻 𝗰𝗵𝗮𝘀𝗶𝗻𝗴 𝗰𝗵𝗲𝗮𝗽𝗲𝗿 𝘁𝗿𝗮𝗳𝗳𝗶𝗰. 🚗
 
You can spend months trying to lower CAC with:
 
• “Let’s launch a newsletter”
• “Let’s do more thought leadership”
• “Let’s write more nurture content”
 
But if your 𝘁𝗿𝗶𝗮𝗹 𝗳𝘂𝗻𝗻𝗲𝗹 𝗹𝗲𝗮𝗸𝘀, you’re just pouring more people into the same holes.
 
Segmentation is one of the fastest levers because it makes your emails and in-app nudges relevant to what the user actually did (or didn’t do). 

And in email, segmentation consistently outperforms “one-size-fits-all” sends. 
 
Before you buy more traffic, ask this:  𝗗𝗼 𝘁𝗿𝗶𝗮𝗹 𝘂𝘀𝗲𝗿𝘀 𝗴𝗲𝘁 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗴𝘂𝗶𝗱𝗮𝗻𝗰𝗲 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆’𝗿𝗲 𝘁𝗿𝘆𝗶𝗻𝗴 𝘁𝗼 𝗱𝗼, 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲𝘆 𝗴𝗼𝘁 𝘀𝘁𝘂𝗰𝗸, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝗰𝗹𝗼𝘀𝗲 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲 𝘁𝗼 𝘃𝗮𝗹𝘂𝗲?
 
If not, you don’t have a growth problem.  

You have a conversion leak. 🥺
 
Need help with that? 

✨𝗠𝘆 𝗗𝗠𝘀 𝗮𝗿𝗲 𝗮 𝘀𝗮𝗳𝗲 𝘀𝗽𝗮𝗰𝗲✨

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taplio

The Battle

Anna York

Simonida Jovanovic

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Anna York's LinkedIn Performance

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