N-Gram Analysis for Amazon PPC: How to Reduce ACOS with Negative Phrase Match Keywords?

If you're struggling to lower ACOS or control wasted spend, this episode is for you!

Discover how N-Gram Analysis for Amazon PPC can reveal hidden and wasted ad spend, empower you to add the perfect negative phrase match keywords, and dramatically boost your results.

Stephen and Andrew break down N-grams, from unigrams to bigrams and trigrams, and show how you can spot high-ACOS terms and negative opportunities even in the messiest search term reports.

You'll learn hands-on tactics with Google Sheets and how AdLabs makes deep-dive analysis fast, simple and scalable.

Ready to take control of your Amazon PPC? Watch now, drop your questions below, and subscribe for more masterclass strategies on N-Gram Analysis for Amazon PPC: How to Reduce ACOS with Negative Phrase Match Keywords!

#whyplacementacosdoesntmatter #amazonppc #amazonads

Why Placement ACoS Doesn't Matter on Amazon PPC?

This week, Stephen and Andrew reveal the truth about placement ACoS and why optimizing for it can cost you money on Amazon PPC.

If you're still chasing low placement ACoS, you're missing the real secret, why placement ACoS doesn't matter on Amazon PPC.

We break down why keyword bids, not placement adjustments, truly control your cost and performance.

Learn how relying on historical ACoS numbers leads to inefficient spending and what data actually matters for effective Amazon PPC optimization.

Discover why revenue per click (RPC) and conversion rate differences are the hidden levers you should be watching.

Stop making the mistake of optimizing for outdated ACoS targets.

Get the clarity you need to supercharge your Amazon PPC and understand the real mechanics behind every click.

Like, Subscribe and let's Transform your campaigns!

🔗 Connect with Stephen & Andrew:

⁠⁠Stephen Noch on LinkedIn⁠⁠

⁠⁠Andrew Bailiff on LinkedIn⁠⁠

🎙️Follow That Amazon Ads Podcast:

⁠⁠LinkedIn⁠⁠

⁠⁠Spotify⁠⁠

⁠⁠YouTube⁠⁠

🎧If you found this episode valuable, the best way to support us is by following the show and leaving a review on Spotify or wherever you listen.

🌟Your feedback means the world to us—it helps more Amazon advertisers discover the podcast and helps us make it better.

💬Got questions or ideas? Connect with us on LinkedIn—we'd love to hear from you.

📅New episodes drop weekly, so make sure you're following us—same time, same place, every week.

5 Steps to Auditing your DSP Account is the Amazon Advertising guide you've been missing.

If "5 Steps to Auditing your DSP Account" doesn't scream clarity, this episode will, because we show exactly how to fix viewability, incrementality, and KPIs without burning cash.

Amazon PPC pros: we split campaigns into granular line items, bid up for Amazon-owned inventory, cap frequency, rotate creatives, and clean audiences so you're not paying for invisible impressions.

We also match attribution windows to each funnel stage and wire the tech right (brand/ASIN associations, pixels).

Bottom line: treat DSP like a precision tool. Measure what's actually seen and only pay for impressions that move revenue. Hit play and start the audit.

🔗 Connect with Stephen & Andrew:

⁠⁠Stephen Noch on LinkedIn⁠⁠

⁠⁠Andrew Bailiff on LinkedIn⁠⁠

🎙️Follow That Amazon Ads Podcast:

⁠⁠LinkedIn⁠⁠

⁠⁠Spotify⁠⁠

⁠⁠YouTube⁠⁠

🎧If you found this episode valuable, the best way to support us is by following the show and leaving a review on Spotify or wherever you listen.

🌟Your feedback means the world to us—it helps more Amazon advertisers discover the podcast and helps us make it better.

💬Got questions or ideas? Connect with us on LinkedIn—we'd love to hear from you.

📅New episodes drop weekly, so make sure you're following us—same time, same place, every week.

#3waystoruinperformancewithdaypartinginamazonppc #amazonads #amazonppc

You're Doing Dayparting Wrong: 3 Ways to Ruin Your Amazon PPC Performance, and it is costing you sales!

In this week's episode, Stephen and Andrew expose the top mistakes Amazon advertisers make with day parting.

If you rely on sales trends, pause campaigns at random, or use "day budgeting," you're risking lost revenue and unpredictable results.

We break down why these strategies don't work, how they ignore key conversion data, and why "You're Doing Dayparting Wrong: 3 Ways to Ruin Your Amazon PPC Performance" should be on every seller's watchlist.

Tune in to discover the smarter way: aligning your bids with periods of high conversion for maximum impact.

We'll also review which software tools are misleading sellers and how to avoid their traps.

Don't fall for shortcuts, get the real Amazon PPC edge here!

🔗 Connect with Stephen & Andrew:

⁠Stephen Noch on LinkedIn⁠

⁠Andrew Bailiff on LinkedIn⁠

🎙️Follow That Amazon Ads Podcast:

⁠LinkedIn⁠

⁠Spotify⁠

⁠YouTube⁠

🎧If you found this episode valuable, the best way to support us is by following the show and leaving a review on Spotify or wherever you listen.

🌟Your feedback means the world to us—it helps more Amazon advertisers discover the podcast and helps us make it better.

💬Got questions or ideas? Connect with us on LinkedIn—we'd love to hear from you.

📅New episodes drop weekly, so make sure you're following us—same time, same place, every week.

#amazonppc #bidoptimization #macrovsmicrobids

Episode 104 dives deep into the difference between macro and micro bid optimizations for Amazon Ads, emphasizing the need to use the right time frames for each approach.

Macro optimizations leverage longer date ranges and tighter bid adjustments to manage overall account performance with stability, while micro optimizations focus on recent data to quickly correct sudden spikes in spend or ACoS by targeting only the most problematic campaigns or keywords.

Stephen and Andrew highlight the importance of not overreacting with account-wide changes, instead recommending precise, data-driven adjustments to the few high-impact areas that truly move the needle.

Ultimately, the key takeaway is to balance risk and reward by matching your optimization strategy to your business goals and current account conditions for safer, more effective results.

🔗 Connect with Stephen & Andrew:

Stephen Noch on LinkedIn

Andrew Bailiff on LinkedIn

🎙️Follow That Amazon Ads Podcast:

LinkedIn

Spotify

YouTube

🎧If you found this episode valuable, the best way to support us is by following the show and leaving a review on Spotify or wherever you listen.

🌟Your feedback means the world to us—it helps more Amazon advertisers discover the podcast and helps us make it better.

💬Got questions or ideas? Connect with us on LinkedIn—we'd love to hear from you.

📅New episodes drop weekly, so make sure you're following us—same time, same place, every week.

#Amazon #AmazonPPC #CanYouBidAgainstYourselfOnAmazonPPC

Unlock the truth behind Amazon PPC and the burning question: "Can you bid against yourself on Amazon PPC?"

In this episode, Stephen and Andrew bust the keyword cannibalization myth, explaining how Amazon's second-price auction prevents self-competition, even with identical keywords across campaigns.

They reveal insider insights, Amazon rep confirmations, and real case studies to show why your CPC stays low, even if bid automation runs wild.

Don't stress about isolated keywords, focus on strategic bid ceilings instead!

Amazon PPC ranking campaigns don't work by brute spend alone—conversion, reviews and sales velocity decide the winner.

In this deep-dive tutorial we show you exactly how to set up a single-keyword Amazon PPC campaign, dial in bids and placements, and turbo-charge your Best Seller Rank. You'll learn:

• Why keyword spend ≠ keyword rank, and what Amazon's algorithm really rewards.
• How to isolate high-volume search terms like "amazon ppc campaign" and "amazon keyword ranking".
• The data-driven way to raise conversion rate and slash wasted ad spend.
• When to ignore ACoS ceilings (and when you absolutely shouldn't)
• Pro tips for sustaining sales momentum with external traffic.

🔔Subscribe for weekly Amazon PPC tutorials and comment below with the next strategy you'd like covered!

Ever wondered if ChatGPT's Sora for Amazon can churn out eye-catching Sponsored Brands videos and slash your creative costs?

In this episode we stress-test Sora's brand-new text-to-video model on five real-world products—an adjustable bed, a blender, sunglasses, a fitness band and a ceiling fan—to see whether AI can finally keep up with the fast-moving world of Amazon PPC.

We upgraded to the pro tier (up to 1080p, 20-second clips) and fed Sora highly detailed cinematographer-style prompts.

The results?

From beds that fold like origami to athletes morphing into jump-scare monsters, Sora's glitches prove it's not ad-ready—yet.

Still, its rapid evolution mirrors the leap we saw with AI image generators earlier this year, and OpenAI says more refinements are on the way.

👉What you'll learn in under 15 minutes

• The exact prompts we used (so you can replicate or improve them).
• Why current Sora clips fail Amazon's Sponsored Brands quality bar.
• Practical takeaways for sellers who want to stay ahead of the AI curve in 2025.

🔔Like, comment "Operator" and subscribe if you want us to test ChatGPT's new browser-automation mode on live ad accounts.

Your feedback steers future experiments!

Dynamic UP & DOWN bidding on Amazon PPC can be the difference between bleeding cash and printing profit.

In this centennial episode of That Amazon Ads Podcast, Brett Messieh shows exactly when to flip Dynamic UP & DOWN bidding on Amazon PPC to crush ACoS and explode sales velocity. 🏆

Stuck wondering why your bids jump but conversions don't?

You're not alone.

Brett dives deep into real-world data from seven-figure mattress listings, revealing how the "up & down" algorithm responds to buyer intent signals, and how sellers can turn that reaction into outrageously low 1-2% ACoS wins.

Along the way, you'll learn:

• How to stack Best Deals and Lightning Deals for a one-two punch that triggers mattress-size purchases.

• Why "owning the digital real estate" with Sponsored Display (30% of Brett's budget!) fuels cheap impressions that competitors ignore.

•The hidden downside of dynamic bids, unconverted spend that snowballs beneath headline metrics, and the audit workflow Brett uses to stop the bleed.

• Hard truths on black-box AI bidding tools vs transparent platforms like AdLabs.

Whether you're hunting for Amazon PPC bidding strategies, polishing your first Amazon PPC tutorial, or looking to future-proof campaigns for 2025, this conversation arms you with tactics you can deploy before the next refresh.

Smash that 👍, drop a comment with your biggest Amazon PPC pain point, and hit subscribe so you never miss a growth hack!

🔔Listen on the go: Spotify, Apple Podcasts, or wherever you binge Amazon Advertising content.

Ready to nail your Amazon Business Placements Overview & Strategy?

In this episode, we show you how to use Amazon PPC to turn bulk buyers into profit and stop wasting bids—fast.

Click play and learn the placements tweak most sellers ignore.

If you've wondered why "top of search" costs keep climbing, the answer sits inside the new business-to-business ad slots.

We break down what Amazon Business Placements are, how placements modifiers stack, and when it makes sense to raise—or ignore—those bids.

You'll see real numbers from live accounts, including conversion rates, average order value, and revenue per click.

No fluff, just data you can act today.

Here's what's inside:

• Quick refresher on core Amazon PPC metrics
• Step-by-step guide to testing business placement modifiers
• When a 100% boost is smart—and when it wrecks your ACoS
• How to tell if your brand attracts B2B shoppers (hint: check units per order)
• Live audit of keyword harvesting, negative targets, and bid strategy mistakes

By the end, you'll have an Amazon Business Placements Overview & Strategy that fits your own goals, whether you sell janitorial supplies, home-improvement gear, or niche bundles.

We also cover sponsored display options for B2B audiences, fresh from the console update.

🔔Subscribe for weekly deep dives on Amazon PPC strategy, bidding, and campaign structure. Drop your questions in the comments—let's fix your ads together.