Blake Bauer

JetAds

Chief Executive Officer

Performance digital advertising agency based in Victoria, Canada.

Sr. Media Buyer & Agency Manager

M1 Agency Inc. Strategic. Creativity.

I led the paid media buying division for several of Media One's clients. This involved managing an advertising budget of $100's to $1,000 a day in the budget on Facebook & Google ads.

Some companies I worked with included Purica, EQUS, Man Eats Wild, and Scotty Fishing.

Head of Media Buying

FOUNDRY Berlin | Zurich | New York

A leading media buyer executing paid advertising campaign spend and management for Foundry's clients. Platforms managed included Facebook & Instagram (Meta), Google, Pinterest, Taboola, Outbrain, LinkedIn, Twitter and more.

I managed advertising campaigns upwards of $10,000 a day in media spend.

Senior Media Buyer

Synergize 

Synergize is an eCommerce growth accelerator helping scale startup DTC eCommerce brands with digital advertising. We specialize in creating powerful Facebook, Google, and TikTok advertisements.

Founder & CEO

One-Product Stores

Started and scaled several one-product-store DTC eCommerce stores on Shopify. Here's how it would go: find and source the product, build the site, source the media, and start advertising on Facebook and/or Google.

Ecommerce Business Owner

Birchwood Automotive Group

Marketing Coordinator

Sesh Sensei

Sesh Sensei was an online glassware and headshop brand. We partnered with a leading company in the industry, Dankstop, to dropship over 1000 SKUs using Shopify and selling across North America. Our primary method of sales and marketing was SEO.

Founder

Pollard Banknote Limited

Calm Air International LP

Roofco

Roofer

CEO @ JetAds.co | Increasing DTC Ecommerce brand's ROAS by 20% in 30 days with performance creative, UGC, & veteran media buyers (Meta, Google, TikTok Ads). Apply today ↓

Building JetAds: an ad agency on autopilot.

We're a a cutting-edge subscription ad agency for ambitious DTC brands. ✈️

We partner with brands to help them scale on Meta, Google, TikTok Ads and more by installing a team of performance markets & ad creative specialists.

Some client wins:
✈️ -55% reduction in CAC for digital health startup
✈️ $597k in new deals in 12 months from advertising for an industrial solar lighting company
✈️ $5.4M in revenue generated for e-learning company from paid ads in 3 years

We're data nerds at heart; we combine creative ad strategies and real-time data feedback to refine and scale advertising campaigns profitably at scale. 

If you're a DTC brand already spending on ads & need some help scaling: start FREE for 7-days here: https://jetads.co

DM me - I'm always open to chatting.

Agency Manager // Executive Media Buyer

Jetstream is a revenue growth agency helping accelerate the growth of eCommerce brands via digital advertising. As the Executive Media Buyer I'm responsible for managing all paid advertising efforts for a roster of various clients across Meta (Facebook & Instagram) and Google Ad platforms.

Most brands don’t struggle because of bad ads. They struggle because they don’t understand why their best ads work. I sit between data and execution to turn performance insights into better creatives.

5+ years in performance marketing. Managed $40M+ ad spend for multiple brands.

I work with DTC and SaaS brands to build creative testing systems that improve MER and reduce waste. If you want clarity on what to test next and why, DM me for a quick audit.

Rahul Arora

Wellbeing Nutrition tests hundreds of ads monthly. 
350+ ads are live right now.

That's how Wellbeing Nutrition scaled from ₹2 Cr to ₹170 Cr in just 5 years.

Not because they had a informative labels or good branding agency, but because they moved faster than everyone else.

Heres what most brands miss:
- Speed beats perfection in performance marketing. Creative diversity is scaling engine. And you can't take weeks to execute it.
- Most brands spend 10-15 days getting "approval" on one visual made by designers, disapproved/approved by clients, and taking it live.
- Wellbeing launched 30-40 new ad variations in that same time.

In a category where margins are tight speed is the only moat.
The numbers tell the story:
FY24: ₹72 Cr 
FY25: ₹170 Cr 
136% revenue growth, 60% roas improvement. Very impressive.

They didn't outspend competitors. They actually out-tested them.

Imagive.ai gives you that same unfair edge.
- Auto generates ad variations in minutes not weeks
- Learns from performance and adapts creative strategy in real-time
- Gives you sense of what's working and not working for your brand. Without excels or spreadsheets. 
- Pushes live to Meta and Google without designer delays

One brand ditched their ₹1.2L/month agency after trying Imagive.

Results in 30 days?
✅ Performance up 28%
✅ Dashboard time down 70%
✅ Entire operation run by one person

This isn't about making things look good, rather its about moving fast enough to win. 
If your creative process still needs 3 approval rounds and 2 weeks time you're losing to someone who has learnt how to ship ads fast.

Want to scale your brand?
👇 Comment "Imagive" and I will send you
- 30 days no strings trial coupon
- how Imagive works (Playbook)

Imagive.ai #performancemarketing #aitools #d2cbrands #imagiveai #adautomation #creativetesting #metaads #supplements #scaling #digitalgrowth

Helping DTC brands scale profitably through Media Buying, Creative Strategy + data-driven ads | Ad Testing Expert

Most brands and media buyers start Meta ads with a testing plan but zero understanding of who and what they're actually testing for.
Which is why they burn budgets for months with "promising" CTRs that never turn into actual profit.

Here is what I've learned after managing 100+ accounts:
The biggest performance gap isn't execution.
Its what happens BEFORE any ads go live.

The research phase which is most important, most agencies compress into 2 hours or skip entirely.

And this isn't about opening Facebook Ads Library scrolling for 10 minutes and calling it"competitor analysis"
Its actually deep work which you do by 
- scraping Reddit threads to uncover real language and pain points
- mapping competitor positioning beyond surface level creative (simply use AI to identify this)
- reading through ad comments on yours and competitors posts
- identifying messaging gaps nobody is addressing yet
- analyzing organic comments across IG reels, reddit, Youtube

This gives clarity most brands never reach: Who is actually buying and why.

1. Persona mapping that actually matters
define distinct buyer personas and each persona gets its own messaging angles, hooks, and creative direction.

Example: For a skincare brand I found 3 personas:
Persona A: Acne sufferers (problem aware, need proof fast)
B: Anti-aging seekers (solution aware)
C: Routine builders (product aware, need convenience story)
Same product but 3 completely different ad strategies.

2. Strategic creative volume 

Persona A, needs 5-7 proof heavy ads (testimonials, before/after, dermatologist)
B needs 8-10 education ads (ingredient breakdowns, mechanism, routine integration)
Persona C needs 3-5 lifestyle ads (morning routine, travel friendly, simplicity)

Every creative has a strategic reason to exist. Most brands make 20 random ads and hoping to scale. 

3. Repeatable testing framework

Week 1: test 3 different problem articulations for Persona A
Week 2: test 3 different proof types for winning problem
Week 3: test 3 different formats for winning proof

4. This leads to faster path to profitability

When you know WHO you're targeting and WHY they buy you don't want 60 days to testing the market
Test specific hypotheses and get answers in 14-21 days. Create an excel. 

For every persona I map:
Pain points
Current solutions 
Objections
Trigger events 
Preferred proof type 
and then reverse engineer ads from this matrix.

Write down atleast 10 fundamentally different ads for 10 different buyer mindsets.
When you start writing ask yourself "Do we actually know who we are speaking to and what makes them buy?"
Because if you dont have that clarity you're just funding Metas learning phase with no direction.

Want to 2x your creative strategy process? Try Imagive.ai
DM for "free first month coupon code."

#imagive.ai #metaads #performancemarketing #customerresearch #personamapping #d2c #creativestrategy #digitalmarketing #adstrategy #research #targeting #scaling

“Winning ads are not created” Yes, you heard that right!
They are accidentally found by the brands and are very easily killed.

Has it ever happened with your brand, after hitting one winning ad, getting another 10 looks like a nightmare? 
This happens when you are focused on creating something entirely different & not RECREATING what was successful!

Here’s what I actually do when I spot a winning ad that multiples the result. 

Step 1: Don’t touch anything immediately
Ask yourself - Why is this ad working?
Not: creative looks nice or algorithm likes it
But:
- What emotion is it hitting?
- What objection is it removing?
- What promise is pulling people in?

Give a lot of attention to each comment and interaction to see what is triggering people because that can be a place where your winning hypothesis is hidden.

Step 2: Break the ad into layers
Every winning ad has two main layers:
Message layer
- The hook (what stops the scroll)
- The angle (pain, desire, curiosity)
- The headline
- The offer

Delivery layer
- Visuals
- Creator/UGC style
- Format (static, video, carousel)
Most brands change everything at once. That’s how you lose the winner.

Step 3: Recreate - don’t reinvent
This is where scale actually happens. Keep the winning element and test ONE change at a time:
- Same design, new hook
- Same hook, new angle
- Same message, different offer
Keeping the winning structure and rotating the offer works best.

Step 4: Watch for burnout (before performance drops)
Winning ads don’t die suddenly. They make numbers fall first:
- CTR slowly drops
- Frequency goes up
- CPC goes up
That’s your signal to rotate

Step 5: Document everything
Get screenshots and check the metrics to know why it worked, because patterns repeat. 
What worked for Audience A today often works for Audience B tomorrow, if you understand why.
If you’re a D2C brand, remember this: Most brands are sitting on winners… and don’t even know it.

Have you spotted this in your brand? 

Get new winners in minutes - Imagive.ai

#paidads #D2C #creativestrategy #performancemarketing #googleads #metaads #shopify #imagive.ai

90% of media buyer and agency think video ads always win but the truth is it doesn't. 

In many Meta accounts, simple static images delivering real value quietly beat videos.

When people scroll through social feed, attention span is lowest.
and Video needs time.

Static needs one second. Only 1 second, if the offer and hook is on point it lets the brain decide fast.

What actually works in static ads:
- Big, clear message.
- Text is the hero. Even font matters. Clear font = more attention.

Looks real, not perfect.
Slightly ugly works.
Plain background.
Feels human. Not heavily branded. 
Needs lesser $ and time to build.

3rd, Before vs after.
One screen. Two sides.
Problem on left. Result on right.
Instant clarity.

Fourth, Familiar things.
chat screenshots.
Review-style layouts.
Handwritten notes.
Brain says, “I’ve seen this before.”
And stops scrolling.

5th, Pattern break.
Bold colors.
High contrast.
Empty space.
Eye stops automatically.

Sixth. Curiosity gap.
Just enough to make them click.
Human brains hate open loops.

7th, Urgency, but simple.
“Only 7 left”
“Ends tonight”
"Grab this offer today or next year?"

Why static ads often beat video:
Video attracts watchers. (CPM are usually low)
Static attracts deciders. (CPM could be high)

That’s why many accounts see lower CPA with static.

The idea mix:
• Video for explaining
• Static for stopping
• Both for scaling

If your static ad can explain the value in one second, Meta will find buyers for you.

Giving away my 50 top performing static ads Canva swipe file. 
Comment down "Imagive" and I will send it your way. 

Imagive.ai

#creativestrategy #imagive.ai #staticads #ROI #ROAS #campaign

Meta just fixed one of the most confusing things in Ads Manager… have you noticed it?

If you run sales or lead campaigns on Meta campaigns, this update quietly makes your conversion data way more honest.

What’s new?
Meta now lets you choose how conversions are counted:
 - All Conversions or
-  First Conversion

Earlier, Meta counted every action from the same person. So if someone filled out a form twice, the report showed 2 conversions. It is good for volume but bad for clarity. With this update, now I get to decide what actually matters.

Here’s what I think about it:
 - First Conversion → counts the first action per person. It is perfect for lead gen, signups and registrations because I want to know: how many real people converted?
- All Conversions → counts every action. It is great for e-commerce because repeat purchases mean real revenue.

To understand it better, let me give you a real example:
Suppose I run a lead ad and one person submits the form twice.
Before → looks like 2 leads
Now with First Conversion → 1 actual lead

Same scenario for an online store?
That repeat action should be counted - so "All Conversions" wins.

Why this update actually matters:
 - No more inflated numbers
 - Cleaner CAC and CPL
 - Clear visibility into new vs repeat actions
 - Better decisions on scaling and optimisation

It’s a small toggle addition but a big mindset shift because good marketers don’t just want more data, they want the right data.

You’ll find this under:
Ads Manager → Breakdown → scroll down → Conversion count

For your campaigns, what matters more right now?
First conversions or all conversions?

Imagive.ai - DMs for 1 free month access. No strings attached.

Meta Update

We didn’t build Imagive.ai because I fell in love with AI.
We built it because we were tired of watching smart teams losing momentum to the same problem:
Fresh creative flow couldn’t keep up with media spend and platform's demand.

We had budget.
Good offer.
The funnel.
Client ready to scale.

But we were always 2 steps behind what platform was demanding. 
Ideas took too long to get approved
Design teams had too much to deliver. 

By the time a new ad launched, offer became irrelevant, learning tanked, budget exhausted on low performing ads.
We realized this wasn’t a creative problem. It was a systems problem.
So we built a new system.

Imagive helps performance teams move fast on what actually works:
- Analyze top ads (yours + your markets)
- Extract proven hooks, angles, and structures
- Generate ready to run creative variants, copy and visuals

Track fatigue and drop-off before your metrics crash

We’re rolling it out quietly in phases for paid ad teams. 

DM open. Imagive.ai

#DTC #performancemarketing #creativeops #SaaS #Imagive

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Blake Bauer

Rahul Arora

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The Battle

Blake Bauer

Rahul Arora

Followers

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Engagements

Likes

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);}Rahul Arora's LinkedIn Performance

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