David Ogilvy said no one should work in advertising without reading this book twice!
Saturday, May 16, 2026
Wednesday, March 4, 2026
Great Ads Content Rule
Most ads fail because they don’t pass this test.
To write high-converting ads, landing pages, emails, or VSLs,
every sentence must answer YES / NO / NO:
Can you picture it? Yes
Can you prove it wrong? No
Could anyone else say it? No
Bad ad:
“We deliver amazing results.”
Better ad:
“47 booked calls from $1,200 in spend using one landing page.”
If your copy sounds right but doesn’t convert,
it’s probably failing one of these.
Friday, February 6, 2026
Google Ads no longer runs on keywords. It runs on intent.
If you’re still building Google Ads around keywords, you’re behind. Here's what that means for eligibility, structure, and PPC strategy.
Most PPC teams still build campaigns the same way: pull a keyword list, set match types, and organize ad groups around search terms. It’s muscle memory.
But Google’s auction no longer works that way.
Search now behaves more like a conversation than a lookup. In AI Mode, users ask follow-up questions and refine what they’re trying to solve. AI Overviews reason through an answer first, then determine which ads support that answer.
In Google Ads, the auction isn’t triggered by a keyword anymore – it’s triggered by inferred intent.
If you’re still structuring campaigns around exact and phrase match, you’re planning for a system that no longer exists. The new foundation is intent: not the words people type, but the goals behind them.
An intent-first approach gives you a more durable way to design campaigns, creative, and measurement as Google introduces new AI-driven formats.
Keywords aren’t dead, but they’re no longer the blueprint.
The mechanics under the hood have changed
Here’s what’s actually happening when someone searches now.
Google’s AI uses a technique called “query fan out,” splitting a complex question into subtopics and running multiple concurrent searches to build a comprehensive response.
The auction happens before the user even finishes typing.
And crucially, the AI infers commercial intent from purely informational queries.
For instance, someone asks, “Why is my pool green?” They’re not shopping. They’re troubleshooting.
But Google’s reasoning layer detects a problem that products can solve and serves ads for pool-cleaning supplies alongside the explanation. While the user didn’t search for a product, the AI knew they would need one.
This auction logic is fundamentally different from what we’re accustomed to. It’s not matching your keyword to the query. It’s matching your offering to the user’s inferred need state, based on conversational context.
If your campaign structure still assumes people search in isolated, transactional moments, you’re missing the journey entirely.

Dig deeper: How to build a modern Google Ads targeting strategy like a pro
What ‘intent-first’ actually means
An intent-first strategy doesn’t mean you stop doing keyword research. It means you stop treating keywords as the organizing principle.
Instead, you map campaigns to the why behind the search.
- What problem is the user trying to solve?
- What stage of decision-making are they in?
- What job are they hiring your product to do?
The same intent can surface through dozens of different queries, and the same query can reflect multiple intents depending on context.
“Best CRM” could mean either “I need feature comparisons” or “I’m ready to buy and want validation.” Google’s AI now reads that difference, and your campaign structure should, too.
This is more of a mental model shift than a tactical one.
You’re still building keyword lists, but you’re grouping them by intent state rather than match type.
You’re still writing ad copy, but you’re speaking to user goals instead of echoing search terms back at them.
What changes in practice
Once campaigns are organized around intent instead of keywords, the downstream implications show up quickly – in eligibility, landing pages, and how the system learns.
Campaign eligibility
If you want to show up inside AI Overviews or AI Mode, you need broad match keywords, Performance Max, or the newer AI Max for Search campaigns.
Exact and phrase match still work for brand defense and high-visibility placements above the AI summaries, but they won’t get you into the conversational layer where exploration happens.
Landing page evolution
It’s not enough to list product features anymore. If your page explains why and how someone should use your product (not just what it is), you’re more likely to win the auction.
Google’s reasoning layer rewards contextual alignment. If the AI built an answer about solving a problem, and your page directly addresses that problem, you’re in.
Asset volume and training data
The algorithm prioritizes rich metadata, multiple high-quality images, and optimized shopping feeds with every relevant attribute filled in.
Using Customer Match lists to feed the system first-party data teaches the AI which user segments represent the highest value.
That training affects how aggressively it bids for similar users.
Dig deeper: In Google Ads automation, everything is a signal in 2026
The gaps worth knowing about
Even as intent-first campaigns unlock new reach, there are still blind spots in reporting, budget constraints, and performance expectations you need to plan around.
No reporting segmentation
Google doesn’t provide visibility into how ads perform specifically in AI Mode versus traditional search.
You’re monitoring overall cost-per-conversion and hoping high-funnel clicks convert downstream, but you can’t isolate which placements are actually driving results.
The budget barrier
AI-powered campaigns like Performance Max and AI Max need meaningful conversion volume to scale effectively, often 30 conversions in 30 days at a minimum.
Smaller advertisers with limited budgets or longer sales cycles face what some call a “scissors gap,” in which they lack the data needed to train algorithms and compete in automated auctions.
Funnel position matters
AI Mode attracts exploratory, high-funnel behavior. Conversion rates won’t match bottom-of-the-funnel branded searches. That’s expected if you’re planning for it.
It becomes a problem when you’re chasing immediate ROAS without adjusting how you define success for these placements.
Dig deeper: Outsmarting Google Ads: Insider strategies to navigate changes like a pro
Where to start
You don’t need to rebuild everything overnight.
Pick one campaign where you suspect intent is more complex than the keywords suggest. Map it to user goal states instead of search term buckets.
Test broad match in a limited way. Rewrite one landing page to answer the “why” instead of just listing specs.
The shift to intent-first is not a tactic – it’s a lens. And it’s the most durable way to plan as Google keeps introducing new AI-driven formats.
Monday, February 2, 2026
The Economics of a Super Bowl Ad
WHAT MAKES A SUPER BOWL AD SO UNIQUE?
1. Ads are part of the product
2. Opportunity to compress time
3. There is asymmetric upside
- Increase brand awareness and compress years of advertising
- Drive immediate customer acquisition
- Drive efficiency in future advertising
- The full cost
- How success is actually measured
- And the math required for this to be a good decision
WHAT IS THE (FULL) COST?
- Initial ad cost
- Production cost
- Accompanying ad-spend requirements
Initial Ad Cost
- The later in the year you buy the ad, the more expensive it can be (i.e., inventory decreases)
- The location of the spot in the game can impact the price someone is willing to pay
- Given that viewership in the Super Bowl is not even across the duration of the game, premiums may be required to be in key spots early in the game, or adjacent to the beginning of Halftime when viewership is often at its highest
- If a brand wishes to have category exclusivity (i.e., to be the only Beer brand advertising in the game), that would come at a premium
- First time or “one-off” Super Bowl advertisers may pay higher rates than large brands who are buying multiple spots, or have a substantial book of business with the broadcasting network
Production cost
- Generally speaking, the caliber of production required to execute a Super Bowl spot (particularly with celeb talent) will lead to higher costs here than a standard, run-of-the-mill TV production
- I expect this to go down over time with AI
- There are some historic examples where the production cost was likely far less (e.g., Coinbase QR code)
- How well known and trusted is the celebrity?
- How many celebrities are included?
- What’s the product? Crypto ads now might have a risk-premium attached after FTX
- What are you asking them to do / say in the ad?
Accompanying ad-spend requirements
Total Cost
- 30-Second Ad (Media Cost): $7-$10M
- Production: $1-$4M
- Talent: $1-$5M
- Total Superbowl: $9-$19M
- Additional Media Spend: $7-$10M
- Total Committed Media + Production Spend: $16-29M
HOW DO YOU MEASURE SUCCESS?
- Lower customer acquisition costs (i.e., CAC): through more efficient ad-spend or word of mouth.
- Premium pricing power: if there are two identical products but people are willing to pay more for one because of the brand, that brand is driving additional LTV (i.e., lifetime value).
- Loyalty/Retention: holding all else equal, if customers stay with a company longer because of its brand, that brand is driving additional LTV.
- Driving sign-ups directly: Creating an ad that over 100M Americans watch, with some percentage of them then finding value in the product and going to sign up (7 day window)
- Driving word-of-mouth: Creating word-of-mouth from the ad that increases the exposure of your brand/product and then more potential customers see it and purchase the product
- Planting a seed: making yourself known to someone who may not be ready to purchase the product at that moment but could in the future. This is where the Super Bowl ad has the potential to make future advertising more efficient, even for those who don’t directly purchase the product within a narrow timeframe (i.e., within a week of seeing the ad). Think buying a car.
So how do we think about measuring the financial impact of the ad in the short and long term?
Short Term:
- Immediate: one benefit of linear TV media is that impressions are concentrated, which makes measuring the immediate traffic lift of a large TV spot quite straightforward. We have an understanding of normal response rate ranges (the rate at which an impression translates to a site visit) from previous TV spots, and so we’ll know the strength of response and the immediate traffic spike within a few minutes of our TV spot airing.
- Trailing: on top of the immediate spike, we are always refining our mathematical models on the ‘drag factor’ that we can apply to estimate the business impact beyond these first minutes and through the first week post-airing. We refine this understanding with secondary data points from surveys, statistical modeling, and holdout structures.
- Treating the Super Bowl spot as a standalone ad would leave value on the table. Instead, we constructed a multi-channel campaign where our marketing worked together to amplify the brand voice and drive resonance. This broader campaign includes:
- Social: our ads reinforce the narrative from our Super Bowl ad to help engage and reengage patients who may be moving down from the top of our funnel into considering Ro
- Search: we’ll ensure we own valuable search real estate so that potential patients can easily find Ro
- CRM: we’ll communicate with patients who engage with Ro via our owned channels such as email, allowing us to go into greater depth around how Ro can support their health goals
- OOH: potential patients will watch our ad on Sunday night and then be reminded of the campaign on their commutes the next week via out of home (OOH) ads in major US markets
- TV: a batch of six complementary TV creatives will also launch immediately following Super Bowl Sunday. These ads are consistent with the “On Ro” creative direction of our Super Bowl spot as they share the powerful health journeys of real Ro members
- The power of an ad with +100m reach is that its impact can trickle down to broader marketing efforts. The Super Bowl ad drives a leap in awareness that is an immediate catalyst for performance improvements across channels. An example to drive this home → the value of a standalone OOH ad impression is X likelihood that this person will decide to sign up for Ro. We believe that likelihood is somewhere greater than X if that same person had also just watched Ro’s Super Bowl ad the evening prior
Long term:
- Our primary focus here is on aided and unaided awareness. These metrics are considered the leading indicators of campaign success - early evidence that Ro is becoming more salient with our target market. While survey metrics are imperfect by nature and subject to recall bias, they remain the best standardized tool for tracking longitudinal progress in brand mindshare.
- We use different tools to maintain a continuous pulse on the market. We are consistently in the field every day of the year, surveying a random sample of respondents monthly. This sample is meticulously mapped back to the US census (within our target) to ensure demographic representativeness.
- To ensure statistical stability and meaningful trend analysis, we analyze awareness based on a rolling 90-day window. This robust sample size within a 90-day period allows us to confidently examine not only overall awareness within our defined target market but also to perform deep dives into awareness shifts within specific demographic groups that matter most for our growth.
- To gain a richer, more diagnostic understanding of the campaign's mechanics, we also monitor secondary metrics. Most relevant to the Super Bowl are:
- Brand Activity Recall: This helps us gauge how they are hearing about us—specifically, the association with a major initiative like the celebrity endorsement (e.g., Serena Williams) versus general product or performance campaigns.
- Source of Awareness: This is critical for understanding where people are hearing about Ro (e.g., word of mouth, earned media, paid media, direct response channels).
The Math: What Needs to Be True for This to Work?
- Why the Super Bowl is a unique advertising moment
- What the fully loaded cost looks like
- How we think about measuring success in the short and long term
- Short-term impact: immediate customer acquisition
- Long-term impact: improved efficiency of future marketing spend
Short-Term Math: Immediate Customer Acquisition
- Some target an X-year payback (1,2,3,4,5 etc.)
- Some are comfortable acquiring customers until marginal CAC equals terminal LTV
- Note: “Directly” is in quotes because many customers won’t type your URL immediately. They may search, click a paid ad, or convert days later — but those conversions are still economically downstream of the Super Bowl exposure. This is more relevant for products that are immediately searchable (someone is unlikely to buy life insurance or a car on their phone during the game).
Long-Term Math: Efficiency Compounding
- The larger the marketing budget, the smaller the efficiency gain required for the Super Bowl ad to pay for itself.
- Very modest percentage improvements can translate into meaningful dollar impact.
Combining the Short & Long Term:
- Ads that drive strong short-term acquisition often also improve long-term efficiency
- Long-term brand gains often show up first as improved short-term performance
- A company with a $500M marketing budget
- A $500 CAC target
- A ~1% improvement in marketing efficiency over 12 months, and
- ~12,500 incremental customers acquired in the short term
Capped Downside, Very High Upside
SO…IS IT WORTH IT?
- Immediate customer acquisition
- Increased efficiency of future marketing spend
- Longer-term brand gains (e.g., reduction in CAC, pricing power, retention)
Scientific Advertising was written in 1923. And it only takes one afternoon to finish (So you should probably think about reading it).
Here are the 8 lessons from the book that still hold up today:
1. Sell the benefit, not the product
People don't buy drills.
They buy holes in walls.
Hopkins said this before it became a cliché, and most ads still get it wrong.
2. Specifics outperform superlatives
"52% more effective" beats "incredibly powerful" every time.
Vague claims make people skeptical.
Specific numbers make them believe you.
3. Your headline is 80% of the work
Hopkins said people decide in one second whether to keep reading.
If your headline doesn't earn attention, nothing else matters.
4. Offer something free... but make it strategic
Free samples work because they remove risk and create obligation.
Hopkins built entire campaigns around this. He knew that samples create trust.
5. Reason-why copy still converts
Tell people why something works, not just that it works.
Educated buyers are loyal buyers.
Confused buyers don't convert.
6. Test everything. Assume nothing.
Hopkins tracked results before analytics existed, by coupon codes and response rates.
He killed campaigns that felt great but performed poorly. Your gut is not data.
7. Talk to one person, not a crowd
The best ads feel like a personal letter.
Hopkins wrote to the individual reader's fear, desire, or problem. Mass messaging sounds like mass messaging and people don't like it.
8. Advertising is salesmanship in print
This is the core thesis. If your copy wouldn't work as a face-to-face pitch, it won't work as an ad. Rewrite it until it does.
This book is 100 years old and 9,000 words long. And as I said before, You can read it in an afternoon.
Which of these do you think is most ignored by modern marketers?
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