Hey everyone, after 3 months of strictly white hat operations, I managed to get my brand new product into the top 10 of a super competitive red ocean subcategory. A lot of people asked for my exact launch ad setup after my last post, so today I’m breaking down the entire framework we used, plus the $10,000+ mistake I made mid-launch that cost me two weeks of sales so you don’t have to repeat it.

  • 4 core ad campaign types you need for any new launch

  • Exact step-by-step bid testing process you can copy today

  • The account switch mistake that cost me $10k+ in lost revenue, and how I fixed it

  • Bonus alternative framework from a top community seller

Disclaimer: This is not sponsored content. All strategies mentioned are based on my own first-hand testing.

Core Goals of Launch Phase Advertising

The first 1-2 months of your launch are for testing, not profitability. Your core priorities during this phase are:

  1. Drive sufficient Impressions and orders to build initial social proof (reviews/ratings)

  2. Test category bid ranges and baseline product performance metrics: Click-Through Rate (CTR), Conversion Rate (CVR), and Advertising Cost of Sale (ACOS)

  3. Critical note: Ignore generic industry average Cost-Per-Click (CPC) data. We’ve seen actual required bids vary by up to 300% from reported averages even within the same subcategory, so you have to test for your specific product.

We do not focus on ACOS or profit during this testing phase. Your budget should be aligned with your product’s priority: for high-priority hero products, you can spend more aggressively to speed up testing; for standard products, you can take a slower, more conservative approach.

Keyword Selection for Launch Phase

Your keyword choices will make or break your early campaign performance. Follow these rules:

  • Only target keywords with active search volume at the time of your launch (filter for keywords ranked in the top 500k via Amazon Brand Analytics (ABA) data). Don’t waste budget on keywords that only get traffic during peak season—they will not deliver sufficient data during your test period and will slow down your launch timeline.

  • If budget allows, prioritize high-search-volume core terms first: 20% of your keywords will drive 80% of your traffic, so focus on these high-impact terms first. Long-tail keywords can be covered via broad match campaigns, so you don’t need to target them individually early on.

  • Avoid the common mistake of launching only with long-tail terms: While they have lower competition, their low search volume means you will not get enough click data to optimize your campaigns quickly, delaying your path to ranking.

Proven 4-Part Launch Ad Framework

This structure is the foundation of our launch strategy, and we only make small tweaks to it post-launch (no full overhauls):

1. Sponsored Products (SP) Exact Match Campaigns (Core Traffic Driver)

  • Purpose: Drive targeted, high-intent traffic to your Listing, with clear performance tracking per keyword.

  • Setup rule: Group keywords by similar search volume in separate ad groups, with 10-20 keywords per group. This prevents high-search-volume core terms from consuming your entire campaign budget before lower-volume relevant terms can get impressions.

  • Budget allocation: These are your highest-priority campaigns, so allocate 50-60% of your total launch ad budget here.

2. 1-2 SP Broad Match Campaigns (Keyword Discovery)

  • Purpose: Uncover high-performing keywords that are not already in your initial keyword bank.

  • Optimization rule: Review search term reports weekly. Move keywords with >15 clicks and >1 conversion to your exact match campaigns. Leave terms with moderate performance (some conversions but low click volume) in the broad campaign to gather more data.

3. 1-2 Automatic Targeting Campaigns (Long-Tail Traffic & Relevance Signal)

  • Purpose: Let Amazon’s algorithm surface long-tail search terms and product targeting opportunities you may have missed, while also sending relevance signals to the A9 algorithm.

  • Optimization rule: Add high-performing search terms from these campaigns to your manual exact match groups. Add irrelevant, high-spend terms as negative keywords weekly.

4. Sponsored Brands Video (SBV) Campaigns (Rank Boost & High Conversion)

  • Purpose: Our testing shows SBV campaigns typically deliver higher CTR and CVR than standard SP campaigns, and they indirectly improve organic keyword ranking for the terms they target.

  • Setup tip: Use the same high-intent, currently relevant keywords as your SP exact match campaigns for best results.

Core philosophy behind this framework: Launch phase ad spend is an investment in performance data. You need sufficient click data to understand which keywords resonate with customers, optimize your bids, and train the algorithm to rank your product for relevant terms.

Step-by-Step Launch Phase Execution

1. Bid Range & Product Performance Testing

First, pull monthly search volume data for your keyword bank from ABA, then group keywords by similar search volume as noted above.

  • Bid testing process: Start bids at $1.00 for all keywords. If no impressions are delivered after 24 hours, increase bids by $0.20 increments until you see consistent impression volume.

  • Ad position adjustment: If your ads are only delivering on product detail pages (and performance is poor), increase bids slightly to push ads to the Top of Search (TOS) or rest of search results pages, to rule out ad position as a driver of low performance.

  • If you still see low CTR/CVR after your ads are running in search positions, either reduce bids for that keyword, pause it temporarily, or add it as a negative keyword. You can re-test paused keywords once your Listing has more social proof and higher baseline CVR.

  • Budget setting for testing phase: Allocate $30-40 per day per campaign, with 10-20 keywords per group. Your initial goal is to get 15 clicks per keyword to get statistically significant performance data. Only increase daily budgets once your CVR stabilizes across campaigns.

  • Note: Baseline CTR, CVR, and ACOS vary widely by category, so don’t compare your metrics to generic industry benchmarks — use your own test data as your baseline.

2. Post-Test Listing Optimization

Once you have 200+ total clicks and stable CVR data, shift your focus to improving conversion rate. Test changes to your price, main image, title, bullet points, and A+ Content, and use ad performance data to measure the impact of each change. Run A/B Testing for high-impact elements (main image, title) to confirm which changes improve CVR.

The $10k+ Mid-Launch Mistake: Switching Seller Accounts

We made the decision to move the product to a new Seller Central account 2 months into launch, and it wiped out all our organic ranking progress and cost us nearly 2 weeks of sales. Avoid this at all costs if possible, but if you have to switch accounts, here’s what to expect:

Impacts of Switching Accounts Mid-Launch

  1. Lost access to Prime Exclusive Discounts: Prime Exclusive Discounts require a minimum 3.5-star seller feedback rating, which our new account did not have immediately. We were only able to run standard Coupons instead, which reduced our CVR by 12% in our category.

  2. Lost eligibility for seasonal promotions: We missed the first week of the Spring Sale event because the new account did not meet promotion eligibility requirements, costing us an estimated $7,000 in lost revenue.

  3. Lost ad performance history: All our ad campaign data and optimization progress was reset, and we had to re-test bids and keywords from scratch. It took 10 days and a Lightning Deal to get sales back to 80% of their pre-switch levels.

Fixes We Implemented After The Switch

  1. We kept our existing ad campaign structure intact, only pausing campaigns that had consistently poor performance post-switch.

  2. We split our existing keyword groups into more granular segments (grouped by attribute and use case) for more precise bid control.

  3. We reduced SBV ad spend from $700/day to $300/day, as we found SBV had minimal direct impact on organic rank during the recovery phase.

  4. We paused underperforming automatic campaigns and launched new ones, moving any high-performing search terms (including unexpected terms like gifting-related keywords) to exact match campaigns to test later during off-peak season.

  5. We reallocated the majority of our budget to campaigns with the highest Return on Advertising Spend (ROAS) to recover profitability as quickly as possible.

Current Focus: Inventory Planning Best Practices

Our biggest challenge post-launch has been balancing inventory levels: we initially understocked due to conservative demand forecasts, and then were unable to increase ad spend to push for Best Seller Rank (BSR) because we risked stockouts.

Our rule of thumb for inventory planning: Calculate your required stock level based on:

  1. Current daily sales velocity

  2. Factory lead time

  3. Shipping transit time

  4. Buffer stock (minimum 2 weeks of sales) to avoid stockouts during transit delays

Never increase ad spend to push for higher rank unless you have at least 4 weeks of confirmed inventory available. A single stockout can erase weeks of ranking progress.

Frequently Asked Questions

1. When is the testing phase complete?

The testing phase ends when your daily ad budget is consistently fully spent, and your CTR and ACOS have stabilized at a level that is viable for your category and profit margins. You can also end testing once you have hit your pre-defined launch KPIs (e.g., 10 daily orders, 12% CVR).

2. My core high-volume terms are getting spend but no conversions — should I stop targeting big keywords during launch?

If a core relevant term has >30 clicks and 0 conversions, pause it temporarily. You can re-test it once your Listing has more reviews, higher social proof, and a higher baseline CVR. Never waste budget on non-converting terms just to “get exposure” — always use data to guide your decisions.

3. How do I decide which ad groups get more budget after testing?

We do not increase budgets during the testing phase, even if they spend their full daily allocation. Once testing is complete, allocate more budget to ad groups with the highest CVR and lowest ACOS first, as these will deliver the best return on your spend.

Community Add-On: Alternative Framework From Top Voted Comment

A fellow seller raised two excellent points about an alternative, equally effective ad framework that is worth considering:

  1. Alternative keyword grouping logic: Instead of grouping keywords by search volume, group them by match type (exact match in one group, broad match in a separate group). Add all your exact match terms as negative exact keywords in your broad match and automatic campaigns, to prevent overlap and ensure you have full control over bid levels for each term. This eliminates the risk of budget cannibalization entirely, no matter the search volume of the keyword.

  2. Data-driven bid calculation: Instead of starting bids at $1 and adjusting up, calculate your baseline bid using this formula first:

Baseline Bid = Target Cost Per Acquisition (CPA) * Estimated CVR

Your target CPA is the maximum amount you are willing to spend to get one order, based on your product profit margin. Once you have 15+ clicks per keyword, update the bid using your actual CVR for that term to keep your CPA aligned with your target.

I’m currently testing this match-type grouping framework for our next product launch, and the early data looks really promising so far. Have you tried either of these ad setups for your launches? Did you run into any unexpected issues? Drop your experience below — I’d love to hear what’s worked for you!