Most sellers lose their launch window in the first 30 days not from bad products, but from bad timing and wrong metrics.
Amazonβs A10 algorithm makes decisions about your productβs long-term rank during the honeymoon window. Miss it and youβre paying to recover ground you never had to lose.
The Amazon FBA launch strategy that built 8 figure brands in 2022 is actively destroying launches in 2026 because the algorithm evolved from a keyword matching engine into an AI confidence system.
This playbook gives you the exact steps on how to launch a product on Amazon, from NIS form to 90 day ranking with no outdated tactics, no black hat risks, and a TACoS based framework that shows you whatβs actually working.
What Is an Amazon Product Launch (and Why Most Sellers Get It Wrong)?
An Amazon product launch is the structured process of introducing a new ASIN to the marketplace in a way that signals relevance, builds sales velocity, and earns algorithmic confidence during the window when Amazonβs AI is most responsive to new data.
It is not simply uploading your product listing and running ads.
Amazon treats a launch as a data collection window. The algorithm is watching which shoppers click, which ones convert, how quickly reviews accumulate, where traffic originates, and whether inventory stays in stock.
Every one of those signals feeds the machine learning model that determines where your product ranks for the next 6 to 12 months.
Every benchmark here shifts with your category. A launch that works on $1,000 in a quiet niche will get buried in a category where the top 20 products all sit on thousands of reviews and clicks cost a fortune.
So before you commit a budget, check your reviews, count on the top twenty listings, see how many sponsored results show up on your main keywords, and run a few test clicks to learn what they actually cost. Then calibrate the targets below to what you find.
Hard Launch vs. Soft Launch: Which One Fits Your Product?
| Hard Launch | Soft Launch | |
|---|---|---|
| PPC | Full from Day 1 | Single auto campaign, conservative bid |
| Data Period | Immediate Scale | 7 to 14 days before scaling |
| Best For | Competitive categories, strong creative, sufficient budget | New sellers, low-competition niches, supplemental ASINs |
| Budget | $8,000 to $15,000 over 90 days | Lower investment |
| Ceiling | High aggressive early rank gains | Limited early rank momentum |
What Amazon Actually Evaluates During a New Product Launch

Amazonβs algorithm records five behavioral signals during the launch window and uses them to set your baseline rank:
Click-through rate (CTR)
Do shoppers choose your listing from the SERP? Low CTR signals poor relevance or weak creativity, and the algorithm suppresses impression volume accordingly.
Conversion rate (CVR)
Do shoppers who click actually buy? CVR below category average tells Amazon your listing isnβt delivering what the search intent promised.
Sales velocity:
How many units per day, relative to category peers? Velocity during the honeymoon window is the primary signal Amazon uses to slot your product into its ranking model.
Review rate and momentum:
How quickly reviews accumulate, not just total count. A product with 15 reviews by day 21 outperforms one with 15 reviews at day 45 the algorithm weights velocity.
Return rate:
Elevated returns flag listing clarity problems or product fit mismatches that suppress rank independent of how well everything else performed.
The Amazon Product Launch Checklist
Every item in the Amazon Product Launch Checklist connects to a specific ranking or conversion signal. Use this as your operational pre flight before any ASIN goes live.
Pre Launch Checklist (Days: 0 to 30)
- Run Brand Analytics Search Query Performance validate demand with real Amazon data, not third party estimates
- Segment keywords into seed, mid tier, and long tail tiers
- Complete NIS form, every backend attribute field filled
- Write title with outcome first structure (COSMO ready)
- Write bullets in scenario language, user, context, problem solved
- Complete A+ Content with Brand Story, comparison module, and lifestyle video
- Seed Q&A with 10+ real buyer questions before going live
- Fill all backend attributes: material, use case, compatibility, age range
- Distribute inventory across 3+ FC regions with 20% upside buffer
- Set up Amazon Attribution tags on all external traffic sources
- Seed 3 to 5 micro influencers 14 days before launch, no hard CTA, brand awareness only
- Enroll in Vine the moment listing is created, before ads start
Launch Day Checklist (Days 1 to 7)
- Run Auto campaign at Amazonβs suggested bid, do not touch for 7 days (COSMO soak period)
- Launch Sponsored Brands Video at top of search from day 1
- Activate launch coupon of 10 to 20%
- Turn on external traffic from day 1
- Verify Amazon Attribution tags are firing correctly
- Confirm inventory is distributed and Prime-eligible across regions
- Check listing is displaying correctly on mobile
- Confirm Vine enrollment is active
Days 8 to 30 Checklist
- Pull converting search terms from Auto and move to Manual Exact match
- Check TACoS weekly, target under 40% and tracking downward
- Use Request a Review on every eligible order alongside Vine
- Monitor Vine review count and star trajectory, target 15 reviews by day 21
- Check inventory levels across all FC regions, reorder if buffer is below 30%
- Track organic rank on top 3 keywords, comparing day 14 to day 30
Pre Launch: The 6 Things You Must Do Before Your First Sale
The pre launch window, ideally the 30 days before NIS submission is where the structural decisions are made that determine whether your amazon launch strategy generates lasting rank or just burns budget. The brands that shortcut this phase spend the following six months recovering from it.

Step 1: Market and Keyword Validation
Start with Brand Analytics Search Query Performance, not keyword tools.
Real search volume data from Amazonβs own platform is more reliable for predicting which terms will actually convert.
Validate demand using Best Seller Rank (BSR) thresholds in your target subcategory.
A product entering a subcategory where the top 10 BSRs are below 10,000 has confirmed volume. A subcategory where the top BSR sits at 50,000 has thin demand regardless of what the keyword tools show.
Segment your keywords into three tiers before launch:
- Seed keywords: 1 to 2 word broad terms that define the category. High volume, high competition. Use these for impression share data, not initial PPC targeting.
- Mid tier keywords: 2 to 3 word phrases with 5,000 to 50,000 monthly searches. These are your primary Auto and Broad campaign targets at launch.
- Long tail keywords: 4+ word phrases with clear purchase intent. Lower volume, but conversion rates 2 to 3x higher than seed terms. These are where early organic wins happen.
Step 2: Inventory Planning and FBA Setup
Use FBA for primary launch inventory. Prime eligibility is a baseline conversion expectation in most categories.
Shoppers in competitive niches filter for Prime by default Fulfilled by Merchant (FBM) listings are invisible to them regardless of listing quality.
Distribute inventory across three or more Fulfillment Center regions before going live. Single region inventory depletes fastest in your highest demand markets.
A stockout between days 15 and 25 when rank is just starting to build resets velocity signals and is one of the most expensive mistakes a launch can make.
Inventory planning formula: order 60 to 90 days of projected sales plus a 20% upside buffer.
Plan for your best case. 70% of brands that outperform their forecast stock out between days 15 and 25.
Use FBM only for overflow or slow moving variations to manage storage costs.
Account for Amazonβs DD+7 payout delay. Cash arrives 7 days after delivery. This affects your launch cash flow window plan for it before committing to the PPC budget.
Step 3: New Item Setup (NIS) Form- The Most Underestimated Step
The NIS form is where Amazonβs Cold Start algorithm builds its initial prediction for your product.
Every field you leave incomplete is a signal the machine learning model has to estimate rather than read directly.
Complete every backend attribute: material, use case, compatibility, age range, subject matter, and any category-specific fields.
COSMO, Amazonβs Common Sense Knowledge Generation and Serving System evaluates backend data before it reads a listing copy.
If your listing enters the honeymoon period with thin entity data, COSMO has less to work with when mapping your product to shopper intent.
The algorithm records weak conversion signals during the exact window they carry the most weight.
Step 4: Listing Optimization Before Traffic Hits
Do not send traffic to an unoptimized listing. The algorithm calibrates against the conversion signals it sees during the honeymoon window.
Title formula: Lead with the outcome or use case first, product second.
Amazonβs AI reads intent before keywords.
βRecovery Shake for Athletes Who Train Twice Daily, 30 Servings, No Artificial Sweetenersβ outperforms βProtein Recovery Supplement, 30 Servingsβ for COSMO relevance because it signals context, not just category.
Bullets: Use scenario language: Write bullets that describe who uses the product, when, and what problem it solves.
βFormulated for athletes who train twice a day and need recovery that doesnβt slow the next sessionβ tells COSMO a user, a context, and an outcome. A feature list tells it nothing about intent.
Backend keywords: Fill every character of backend search terms with high intent mid tier and long tail phrases not already in the visible listing.
No repetition. No brand names of competitors.
A+ Content: Complete A+ Content with a Brand Story module, comparison table, and lifestyle video before launch.
Brands that launch with full A+ depth consistently outperform those that add it post launch, both in conversion rate and organic ranking improvement.
Incomplete A+ at launch creates a structural disadvantage for AI driven recommendations.
Step 5: Alexa for Shopping- Ready Content: Structuring Your Listing for AI Discovery
On May 13, 2026, Amazon retired Rufus and launched Alexa for Shopping, combining its AI recommendation engine and Alexa+ into a single agent.
Alexa for Shopping returns approximately 5 products per conversational query.
If your product isnβt one of the five recommendations for a given query, you donβt exist for that traffic.
Alexa for Shopping pulls from Q&A when building responses to conversational queries. Seed at least 10 real buyer questions in the Q&A section before launch.
A listing that says βdesigned for athletes training twice daily, not a meal replacementβ gives COSMO two things simultaneously: who to surface it for and who to filter out.
Brand Registry is a prerequisite.
Apply for your trademark before inventory arrives.
Step 6: Pre Launch Vine Enrollment
Enroll the moment your listing is created, before any ad campaign starts. The goal is to have Vine reviews live as early as possible in the launch window, conversion rate roughly doubles once Vine reviews accumulate.
Every ad click that lands on a listing with zero reviews records a weaker conversion signal than the same click landing on a listing with 8 verified reviews.
Vine requirements: Brand Registry enrollment, fewer than 30 reviews on the ASIN, and a physical product (digital and adult only products are excluded).
Unit minimums depend on your enrollment tier. Vine reviews cannot be incentivized.
Amazonβs honest review policy applies, and any attempt to influence Vine reviewer feedback violates seller terms.
Target: 15 Vine reviews live by day 21 of launch.
Ready to build a launch infrastructure that holds rank past day 30? See how Sequence Commerce runs Amazon product launches
The Truth About the Amazon Honeymoon Period
The Amazon honeymoon period is a machine learning prediction window triggered by the New Item Setup (NIS) form, during which Amazonβs algorithm builds its initial confidence model for your ASIN based on early behavioral data and listing attributes.
The Cold Start Patent describes this as an inference problem:
Amazon must estimate where your product belongs in the competitive landscape before it has enough sales history to rely on.
The algorithm is most responsive to external signals, conversion data, and traffic patterns during the honeymoon window.

How Long Does the Amazon Honeymoon Period Last?
- The honeymoon period lasts between 15 and 45 days, and the range is category dependent.
- Consumables, supplements, and high velocity CPG categories tend toward the shorter end because sales data accumulates faster and the algorithm updates its confidence model more quickly.
- Lower velocity categories, outdoor gear, home goods, large appliances, may extend the window because the algorithm needs more time to gather statistically meaningful signals.
- The working assumption for most product launches is 30 days. Build your Amazon product launch plan around that window.
- If youβre in a fast moving category, assume 15 to 21 days.
What Signals Determine Your Post Honeymoon Rank?
Three variables determine where your product lands after the honeymoon period closes:
- Sales velocity relative to category peers:
Amazon benchmarks your unit sales rate against products in the same subcategory.
- Conversion rate:
CVR is the clearest signal of listing to shopper fit. A 10%+ conversion rate on organic traffic is the threshold worth measuring against.
- Review momentum:
The algorithm evaluates how fast reviews arrived, what the star trajectory looks like, and whether the sentiment matches your listing claims.
PPC Strategy for a New Amazon Product Launch
Paid ads are the primary and compliant way to build sales velocity during a launch.
The core of any Amazon FBA launch strategy is generating enough behavioral signals, fast enough, that the algorithmβs confidence model slots your product into a competitive rank position before the honeymoon window closes.Β Β
PPC does not directly improve organic ranking, the algorithm rewards the behavioral signals that PPC drives: clicks, conversions, and sales velocity.
Campaign Structure for Launch Phase
The correct launch sequence is Auto first, then Broad, then Exact.
Days 1 to 7 Auto only: Run a single Auto campaign at Amazonβs suggested bid. This is the COSMO soak period.
Brands that add negative keywords or adjust bids based on 48 hour data consistently produce weaker Manual campaign structures.
The terms they negative out in the first few days frequently become top converters by day ten. Protect the soak period.
Days 8 to 14 Add Broad match: Pull search terms from Auto that generated impressions with any conversion signal. Add these to a Broad match campaign with a moderate bid. Let both run in parallel.
Days 14 to 30 Add Manual Exact: Pull proven converting terms from Broad and move them to Manual Exact campaigns with dedicated budgets.
These terms have earned a higher bid, donβt bury them competing alongside non converting terms in Auto.
Add negative keywords to Auto and Broad campaigns based on 14 days of data.
Bidding Strategy: Why You Should Bid Higher Early
Conservative bids during a launch extend your ramp time and cost more in the long run.
The algorithmβs learning phase rewards impression volume, it needs enough clicks and conversions to build a statistically meaningful relevance model.
Underbidding during this window limits impression share at the moment the algorithm is most receptive to new signals.
Bid at or above Amazonβs suggested bid for the first 14 days. The goal is not profitability in week one, itβs velocity.
TACoS will be elevated (25 to 40% is normal in months 0 to 3). Thatβs the investment in rank, not a metric to optimize down immediately.
The bidding shift happens between day 30 and day 60, when Auto campaign data is sufficient to identify which terms are driving conversion versus which are consuming budget.
Thatβs when you tighten bids and push toward profitability on exact match campaigns.
Sponsored Products vs. Sponsored Brands vs. Sponsored Display: When to Add Each
| Ad Type | When to Add | Why |
|---|---|---|
| Sponsored Products | Day 1 | Launch PPC foundation auto campaign from day one |
| Sponsored Brands Video | Day 5 | 2x higher CTR than static, top of search is highest converting placement at launch |
| Sponsored Display | Day 30 to 45 | Retargets high intent viewers who didnβt convert, at lower CPC than Sponsored Products |
Budget allocation recommendation for launch phase:
70% Sponsored Products, 20% Sponsored Brands Video, 10% Sponsored Display (once activated).
What Is TACoS and Why Itβs the Only Metric That Matters During Launch
TACoS, Total Advertising Cost of Sale, measures ad spend as a percentage of total revenue, including both paid and organic sales.
A declining TACoS over 90 days means organic is building alongside paid, the flywheel is spinning.
A flat TACoS at day 60 means every sale still costs full acquisition price. Youβre buying position, not building rank.
TACoS benchmarks by phase (from Sequence Commerce managed accounts):
| Phase | Timeline | Target TACoS | What It Means |
|---|---|---|---|
| Launch | Months 0 to 3 | 25% to 40% | Almost all revenue is ad driven, Youβre investing in rank, not margin. |
| Growth | Months 3 to 9 | 12% to 20% | Organic is building. If TACoS isnβt declining by month 4. |
| Maturity | Months 9+ | 5% to 12% | Organic at 50% to 70% of revenue.The flywheel is working |
Not sure if your PPC structure is working or just spending? Run a free Amazon PPC audit with Sequence Commerce
How to Get Reviews on a New Amazon Product (Without Risking Your Account)
Early reviews drive conversion, and conversion drives rank. Your only compliant paths to reviews are Amazon Vine, the Request a Review button, and product inserts.
Amazon Vine Program: How It Works in 2026
Vine gives you access to Amazonβs network of trusted reviewers who receive your product at no cost and leave honest, verified reviews.
The key change in 2026:
you can enroll before your product goes live, meaning Vine reviews can be in progress before your first ad spend starts.
Requirements:
Brand Registry enrollment, fewer than 30 existing reviews, and a physical product.
Vine reviews are honest by policy:
You cannot influence, edit, or remove them. A Vine review that criticizes your packaging is still a Vine review.
If your product is what your listing claims it is, Vine is consistently the fastest path to credible early social proof. For brands that want help managing the process, our Amazon Vine management program handles enrollment and the process from start to finish..
Target:
15 Vine reviews live by day 21. Conversion rate roughly doubles once this threshold is reached.
Request a Review: When and How Often
Amazonβs Request a Review button is available between 5 and 30 days after order delivery. Send one request per order, within that window. Do not send multiple requests to the same buyer, it violates Amazonβs buyer seller messaging policy.
The timing sweet spot for most categories is 7 to 14 days post delivery.
For consumables, wait until usage has begun. A day 3 request for a 30 day supplement doesnβt give the buyer enough experience to review honestly.
Automation tools (Jungle Scout, Helium 10, or dedicated review management platforms) can automate the send timing while staying within Amazonβs policy.
Setting it up before launch day manual management at scale creates gaps.
What to Avoid: Review Tactics That Can Get Your Account Suspended
Incentivized reviews:
Offering refunds, gift cards, or free products in exchange for reviews violates Amazonβs Community Guidelines and can trigger permanent account suspension.
Review trading or black hat groups:
Facebook groups, Telegram channels, and services that coordinate review exchanges between sellers are monitored by Amazonβs detection systems.
Manipulative product inserts:
A product insert that says βLeave us a 5 star reviewβ or directs buyers exclusively to the positive review pathway violates policy.
External Traffic: The A10 Advantage Most Sellers Miss
A10 redistributes ranking weight toward buyer behavior signals high CTR, low return rates, and critically, off-Amazon traffic.
External traffic that converts is one of the highest weighted signals the algorithm reads, because it tells Amazon that demand for your product exists beyond Amazonβs own ecosystem.
Thatβs organic market validation, not just ad driven velocity. The Brand Referral Bonus makes external traffic structurally cheaper than it appears:
- Amazon credits sellers roughly 10% on sales driven through Amazon Attribution links.
- A $30 product generating an external sale earns a $3 credit against future ad costs.
- Across meaningful external traffic volume, this compounds into a material cost advantage over competitors relying solely on internal PPC.
Amazon Attribution: How to Track External Traffic
Set up Amazon Attribution tags before sending any external traffic. Attribution is the only mechanism Amazon uses to credit off-platform sales toward ranking signals.
Revenue from untagged external traffic shows up in Seller Central but the rank improvement doesnβt.
Create unique Attribution tags for each traffic source: Google Ads campaigns, TikTok organic, email, Instagram.
This lets you measure which external channels drive conversion at the ASIN level, not just clicks.
The TikTok flywheel: How to sequence it:
Week 1: Seed 3 to 5 micro influencers with 50K to 150K followers in your target niche.
No discount codes. No hard CTAs. The goal is branded search volume on Amazon, when a viewer searches your brand name on Amazon two days after watching the video, Amazon reads it as organic demand.
Week 2: Activate one mid sized influencer at 500K to 1M followers with a discount code.
The main event is the wave of branded searches from viewers who didnβt click the link but typed your brand name directly into Amazon. That wave looks like organic demand to the algorithm and compounds with PPC velocity.
Week 3: Take best performing creator content and run it as TikTok Spark Ads targeting lookalike audiences engaged with your product category.
Weeks one and two warm the audience, week three converts it efficiently.
The pre launch email flywheel: Build a landing page with a βNotify me when live on Amazonβ button 14 days before launch. Run low cost social ads to it.
On launch day, email everyone who signed up a direct Amazon brand plus product type search link, not a product URL.
Every click generates branded search volume in the first 24 hours. Amazon reads a spike in brand name searches as organic demand from an established market.
The 90 Day Amazon Launch Timeline
| Metric/Activity | Days 1 to 30 (Momentum Phase) | Days 31 to 60 (Signal Phase) | Days 61 to 60 (Flywheel phase) |
|---|---|---|---|
| Primary Goal | Build Sales Velocity, protect soak period | Shift from Auto to Manual Exact, build review momentum. | Defend rank, expand keywords, optimize bids towards profitability. |
| PPC Focus | Auto + Sponsored Brand video. No manual negatives, until day 8 | Harvest proven terms into manual exact. Run Sponsored Display retargeting from day 45 | Tighten bids on underperforming exact terms. Scale winners. |
| TACoS Target | 25 to 40%. Elevated is expected, youβre buying rank, not margin. | Declining towards 20 to 25%. If flat, run diagnostic sequence before adjusting the bids | 12 to 20% with organic share growing week over week |
| Review Target | 15 vine reviews live by day 21 | New to Brand percentage, above 40% in Sponsored Brands | Return rate audit, elevated returns flag listings or product fit problems |
| Organic Rank | Track top 3 keywords at day 14 baseline | Compare day 30 to 45, should be improving | TACoS vs ACoS gap should be growing as organic share increase |
| Inventory | Confirm distribution across 3+ FC regions. Reorder if buffer below 30% | Monitor Stock across regions. A stockout at day 22, resets rank signals | Inventory Consistency is now a ranking signal. Stockouts create suspension that remains after restocking. |
| External Traffic | Active from day 1 . Attribution tags verified. | Branded Search Volume via Brand Analytics | Repeat purchase rate for consumables: Organic sessions as % of total sessions. |
Conclusion
Amazonβs algorithm records everything, including the weak conversions from days when the listing wasnβt ready, the missed branded searches from weeks before launch when no one was building demand, and the stockout at day 22 when rank was just starting to build. The margin for error in 2026 is narrow.
The brands that will own their categories in the next two years are the ones with a good Amazon product launch strategy that treated the 30 days before launch to build their listing for an AI that reasons rather than matches, and protected the soak period long enough to learn what the data actually showed.
At Sequence Commerce, I found that the brands who arrive with infrastructure already built, Vine enrolled, Attribution tags live, inventory distributed, consistently build rank that holds past 90 days.
If two of your three audit numbers are off from your last launch, the sequence broke somewhere specific. See how Sequence Commerce rebuilds it before your next launch goes live.
Frequently Asked Questions
How do I launch a product on Amazon successfully in 2026?Β
Not running just PPC but also building infrastructure that Alexa for Shopping can confidently recommend.That means COSMO ready listing content, Vine enrolled at go-live, inventory distributed across three or more FC regions, and external traffic activated from day one through Amazon Attribution.Β
What are the biggest Amazon launch mistakes?
Activating PPC before the listing is Alexa for Shopping-ready, scaling ad spend before Vine reviews are live, sending external traffic before keyword coverage is complete, planning inventory only for expected performance, and optimizing ACoS instead of TACoS during the honeymoon period.Β
Why do Amazon product launches fail?Β
A listing that goes live without Q&A seeded, backend attributes complete, and Vine enrolled before PPC scales asks the algorithm to calibrate against weak conversion data from day one. Those calibrations are difficult and expensive to reverse. Most failed Amazon product launches are infrastructure failures.
What KPIs should I track during launch?
TACoS weekly from day one. CTR on Sponsored Brands Video, targeting above 0.5%. Organic rank on top three keywords comparing day 30 to day 45. New to Brand percentage, targeting above 40%. Vine review count and trajectory, targeting 15 reviews by day 21.Return rate by ASIN.
What is a good TACoS for an Amazon product launch?
25 to 40% in months zero to three is normal. By months three to nine, target decline toward 12 to 20%. By month nine onward, target 5 to 12% with organic at 50 to 70% of revenue. TACoS is the metric I rely on most to determine whether a launch is building lasting rank or just buying position.
How do I scale after the honeymoon period?
Month 3 to 6: defend rank through inventory consistency and satisfaction signal management. Month 6 to 12: expand catalog depth in the same category to build COSMO entity connections. Month 12 and beyond: build external traffic infrastructure with Amazon Attribution on every source to send conversion-quality ranking signals the algorithm interprets as market validation.
Can I launch on Amazon without Brand Registry and still compete in 2026?
No. Brand Registry unlocks A+ Content, Vine, Amazon Posts, and Manage Your Experiments. Four of the five most important launch levers. Apply for your trademark before inventory arrives, not after.
How do I know if my product is ready to launch?
Check three things. Listing converts above 10% on organic traffic. Fifteen Vine reviews are live or in progress. Inventory is distributed across three or more FC regions with a 20% upside reserve held back. If any of these are no, you are not ready to scale spend.
How many units should I order for my first launch?
Order 60 to 90 days of projected sales plus a 20% upside buffer across multiple FC regions. Seventy percent of brands that outperform their forecast stock out between days 15 and 25. A stockout at that point resets rank entirely. Plan for your best case, not your expected case.
Do Amazon PPC ads directly improve organic ranking?
No. PPC drives sales velocity and conversion signals. Those signals influence rank indirectly. The algorithm rewards the behavioral pattern, not the ad spend itself. Fix conversion rate before scaling budget.
Should I use FBA or FBM for my launch?
FBA for primary launch inventory. Prime eligibility is a baseline conversion expectation in most categories. Use FBM only for overflow or slow-moving variations to manage storage costs.
Should I use FBA or Seller Fulfilled Prime for my launch?
For most launches, FBA. SFP only makes sense if you run your own warehouse and can hold an on time delivery rate above 93.5%, cancellations under half a percent, and 99% valid tracking, checked weekly with no leeway.
Does my IPI score affect my launch?
Yes, indirectly. IPI is the score Amazon uses to decide how much storage you get, from 0 to 1000. Stay at 400 or above to avoid penalties, 500 or above to be safe. Stockouts on your best sellers quietly drag it down, the same way they drag down your rank. Steady stock and smaller, more frequent shipments protect both at once.
What happens to my rank after the launch ends?
If you cut external traffic the day the launch budget stops, sales can drop, and rank usually follows. Taper into a smaller, steady channel like Google search ads pointed at your main keywords. It costs far less than a full social push and keeps feeding Amazon the demand it learned to expect from your listing.
My launch stalled. What do I check first?
For weak conversion means fix the listing. Flat TACoS at day 60, check whether you are actually relevant for the terms you are bidding on and whether your price and reviews can compete. A sudden drop after a good start, means a stockout or you cut traffic too fast. And if early reviews came in bad, a clean relaunch is normal.

Jake Gilbert serves as the Chief Revenue Officer (CRO) at Sequence Commerce, where he spearheads all lead generation initiatives and drives the agencyβs growth strategy. With a keen analytical mindset, Jake transforms complex marketplace data into actionable insights that deliver measurable results for clients. His expertise spans conversion rate optimization, customer acquisition funnels, and performance marketing specifically tailored to Amazon and e-commerce ecosystems.
At Sequence Commerce, Jake has developed proprietary reporting frameworks that accurately track and attribute revenue across multiple marketing channels, allowing clients to optimize their ad spend with precision. His data-driven approach to revenue optimization has helped numerous brands scale their Amazon presence while maintaining profitable growth metrics. Jake regularly analyzes emerging marketplace trends and platform algorithm changes to refine client strategies and maintain competitive advantages in the increasingly complex e-commerce landscape.
Before joining Sequence Commerce, Jake built successful sales operations for SaaS companies targeting the e-commerce sector, giving him unique insights into both the technical and strategic aspects of online selling. He holds certifications in advanced analytics and digital marketing, and frequently shares his expertise through the Sequence Commerce blog and industry webinars.