“Adwords delivers the same number of leads”
Google Ads
By Google
2 recommend/use · 7 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“they literally go into the Google Adwords interface and they're like tweaking the parameters of targeting and, you know, budget”
“including Facebook's ad platform, Google Ads and SEO, and the Apple App Store.”
“built-in marketing Integrations like meta Capi zapier Google ads and more”
“I can teach anyone how to do Google ads I can teach anyone how to do meta ads”
“John was a leader on Google ads in YouTube”
“I sat there with them and we kind of launched the first Google ads”
Related frameworks
Ad Strength Hole-in-the-Ship Diagnostic
Use Google's brand vs non-brand ad-strength report to find the one fix that lifts the whole account
Blow Their Socks Off: The 10x Word-of-Mouth Bar
To earn recommendation, give users an experience they didn't know was previously possible
Capacity-Red Headcount Justification
Add headcount only when a days-committed-vs-days-in-quarter calculator stays red after cutting low-value work
Conviction-Led Product Management
You can't split-test your way to love — build conviction on what matters, then make one big change
Cost-Allocation Pricing to Fuel Word-of-Mouth
Allocate every real cost to the customer who caused it, raise heavy users, cut everyone else's price
Deadlines as P-Zero
Have few deadlines, but make each one a P0 that nothing else can touch — and cut scope to hit it
Design Your Day (Calendar as Canvas + Groundhog Day Iteration)
Draw the day you want on the calendar, run it, see what actually happened, adjust, repeat
Do the Unscalable to Get Customers to Lobby For You
Deliver a painful manual experience so good that customers complain to the regulator, not to you
Driving AI Adoption Through Hard Constraints
AI transformation moves when you impose hard constraints, sort people into three groups, and fix the slowest part of the system.
Emotional Discovery: Feel Bad Like the Customer
On customer calls, dig until you feel the exact emotion the customer wants to avoid, then build to remove it
Extract the Chain-of-Thought, Not the Recommendation
Treat every advisor as an LLM: mine their reasoning, not their verdict, because their answer is trained on a different corpus.
Fast-Thinking / Slow-Thinking Org Split
Split product org into a weekly-shipping AI group and a deliberate-infrastructure group so both speeds coexist.
Four Criteria for Choosing a Distribution Platform (Enter and Exit)
Score a new platform on retention, monetizability, value exchange, and scale — then plan your exit before you enter.
Greedy-but-Smart Compute Allocation
Throw hundreds of dollars of inference at high-value problems — the value-to-cost ratio is absurd in your favor.
Incrementality via Conversion Lift & Geo Tests
Prove paid actually caused growth by withholding ads from a control group and measuring the lift
Interview as Discovery: Be the Solution to Their Burning Problem
Treat a job interview like product discovery — find the hiring manager's burning problem and position yourself as its solution
Laser Mode: Engineering Speed Bumps Against Distraction
Willpower never wins. Move the candy further away than the sandwich.
Make Time: Highlight, Laser, Energize, Reflect
A daily four-step loop that changes your defaults instead of making you faster at the wrong things
Mission Authenticity as an Emotional Referral Engine
An authentic mission that customers genuinely believe becomes a word-of-mouth channel money can't buy
Net Revenue Retention Above 100% (and Why NRR Lies)
Expansion revenue must beat churn, but NRR flatters you — watch logo churn too.
Paid Channel Sequencing Ladder
The order to adopt paid platforms: user-driven search first, disruptive media next, expensive targeting last
Platform Betting Strategy by Company Stage
Late-stage companies spread chips across platforms; startups make one focused bet and go all in.
Play-First AI Fluency
Build real AI intuition by playing — invent fun side projects, use everything, and share the artifact not the doc.
Pricing Selects the Market (Sell Growth, Not Savings)
Price and positioning choose your market — reframe your product as growth to charge many times more.
Product Marketing: Closing the Perception Delta
Make users perceive the value you actually delivered — close the gap between done and perceived
Reflect: The Daily Experiment Loop
Treat each day as an experiment you ran, not a gravestone of success or failure
Reset Expectations + Slow Your Inbox
Announce a slower response cadence with a 'because', then actually slow the hamster wheel
Signal vs Noise Metric Selection
Let the campaign's single goal decide which metric is signal — everything else is noise
Systematized Creativity by Extremes
Build the most extreme version along one attribute, feel it, repeat in the opposite direction, then find where they meet
The 10% Working-Version Rule
Have a testable working version by the time 10% of your time budget elapses, not at the halfway point
The 5-Question Stalled Growth Diagnostic
Diagnose why growth is slowing by asking five questions in strict priority order.
The Cancellation Ceiling (Maximum Customer Cap)
New customers divided by cancellation rate is the hard ceiling on how big you can ever get.
The Daily Highlight
Pick the one thing you want to name as today's highlight, size it to 60-90 minutes, write it down
The Double Triangle: PM as Go-To-Market Discipline
Sit the PM between two triangles — build (eng/product/design) and sell (sales/marketing/PM) — and originate the customer's language
The Elephant Curve (Channels Saturate and Sag)
Every acquisition channel starts as an S-curve then sags — assume your winners will decline.
The Five-Day Design Sprint
Go from zero to a tested prototype in five days — decide with customer reactions, not hunches
The Four-Step Distribution Platform Cycle
Every new growth channel opens then closes in the same four predictable steps — learn to see where you are.
The Full-Stack Role Collapse
In the AI era every role needs a minimum baseline in the adjacent two — deep in one, dangerous in the rest.
The Middle-Manager Reporting Veto
Automatically say no to customization features that ease manager reporting at the cost of IC workflow
The NPS Doubling Curve for Viral Growth
Optimize NPS instead of conversion, because each promoter tier doubles how many people they tell
The Ops Cadence Spreadsheet
A rocks-and-pebbles spreadsheet that assigns every account task a defined weekly/biweekly/monthly rhythm
The Refounding Test
Ask how you'd rebuild AI-native from scratch — then decide whether your legacy asset helps or you should sell.
The Signs of Life Test
Spend a tiny budget on a new platform to detect a positive signal before committing to a full campaign
The Three-Hire Performance Team Sequence
Build a paid team in order: data-driven generalist, then creative, then a dedicated data scientist
The True Competition Metric
Use auction-insights math to tell a genuine competitive threat from a harmless close-variant accident
The 'What Made You Cancel?' Rooter-Cause Diagnosis
Ask what made them cancel (not why), then dig past the surface reason to the real causes.
Vibes Before Evals
For a genuinely new AI feature, start with open-ended vibes testing; add evals only once the use-case cluster is clear.
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