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The account had minimal campaign segmentation, no automation, and no search term strategy. The Simple Mixes team was cautious about ad spend but ready to change course.","While others wait for traction, Simple Mixes took control by partnering with SellerApp and turned a stagnant account into a steady sales engine. Because the longer you wait, the harder it is to catch up."]}]},this.thirdContentSection={class:"center",content:[{heading:"The Challenge to Overcome",description:["Simple Mixes had a loyal audience for bestseller but scaling the rest of the product range wasn\u2019t working.","<span class=font-semibold>Paid Advertising Wasn\u2019t Paying Off</span><br><br><p>Manual tweaks couldn\u2019t bring ACoS below 30%. Ads were running on gut feel, no automation, no segmentation, no negative targeting. CPCs were rising, but performance insights were absent. The result? An unscalable PPC system.</p>","<span class=font-semibold>Keyword Targeting Was Not Efficient</span><br><br><p>The brand had no structured keyword research process. Auto campaigns ran unchecked, manual campaigns bundled match types, and poor-performing terms kept draining spend. High-volume search opportunities were being missed entirely.</p>","<span class=font-semibold>Product Expansion Was Stuck</span><br><br><p>New SKUs were ready but the founder wasn\u2019t ready to launch them. Without a dependable PPC structure or stable ROAS, scaling felt risky.</p>","<span class=font-semibold>Listings Weren\u2019t Optimized to Convert</span><br><br><p>Even when clicks came in, listings lacked keyword alignment, CRO strategy, and visual appeal. Conversion rate lingered at 13%.</p>","<span class=font-semibold>Tight Budgets and Uncertainty</span><br><br><p>Because of past inefficiencies, budget allocation stayed conservative. Ad dollars were mostly restricted to hero SKUs, leaving other flavors and packs under-supported.</p>"],imageDetails:{url:"https://cdn.sellerapp.com/img/website-v2/other-pages/case-study-pages/simple-mixes/simple-mixes-performance.avif",alt:"simple mixes sales up with sellerapp",width:1e3,ratio:2.25,isLazyDisabled:!0}}]},this.featuresStatisticsSection={cardStyle:"transparent",list:[{value:"5
17%",heading:"Drop in ACoS"},{value:"65%",heading:"Lift in overall revenue"},{value:"6.5x",heading:"Ad Revenue increase"}]},this.fourthContentSection={class:"compact",content:[{heading:"SellerApp\u2019s Full-Funnel Strategy & Execution",description:["When Simple Mixes partnered with SellerApp, the team wasn\u2019t just looking to maximize returns from ads, they were looking to build a system that could <b>scale profitably</b>, reduce unpredictability, and provide the <b>confidence to launch new products</b>.","Instead of applying surface-level fixes, SellerApp rebuilt Simple Mixes\u2019 Amazon strategy from the ground up, combining deep keyword insights, campaign segmentation, and automation to drive smarter growth without increasing risk.",'<span class="font-bold">1. Campaign Restructuring & Budget Reallocation</span>',"At onboarding, Simple Mixes\u2019 PPC setup was fragmented and reactive. There was a mix of auto and manual campaigns, but keyword match types were lumped together, diluting performance visibility. There was <b>no structure around product segmentation</b>, and <b>no filtering for poor-performing terms</b>.<br>SellerApp restructured everything.<br>","<ul><li> <b>Individualized Campaigns</b>: Each flagship product received a dedicated campaign, avoiding the blend of SKUs that often starves top-performers.</li><br><li> <b>Match-Type Separation</b>: Campaigns were split by match type, broad, phrase, and exact, to allow better bid control and performance analysis.</li><br><li> <b>Clean Budget Architecture</b>: Instead of spreading the limited ad budget thin, SellerApp focused its spend on <b>SKUs with proven momentum</b>, while pausing underperformers until their listings and rank could be improved.</li><br></ul><br><br> This led to a cleaner signal to Amazon\u2019s algorithm and laid the foundation for better keyword alignment.",'<span class="font-bold">2. Keyword Strategy & Search Term Intelligence</span>',"Before SellerApp, Simple Mixes had no systematic approach to keyword research or search term analysis. This meant:","<ul><li> Less clarity on converting search terms.</li><br><li> Less means to prevent wasted ad spends.</li><br></ul>SellerApp solved this by combining <b>Amazon Brand Analytics</b> and <b>Sponsored Product</b> reports with proprietary tools:","<ul><li> <b>Top-performing keywords were identified and bid up</b> to dominate visibility for core terms.</li><br><li> <b>Non-converting search terms</b> were added as negatives to eliminate ad waste.</li><br><li> <b>Listings were updated to match high-intent keywords</b>, boosting both paid and organic rank.</li><br><li> <b>Rank tracking tools</b> allowed the team to monitor progress across target terms and adjust strategy accordingly.</li><br></ul><br><br>This tightly closed the loop between what customers were searching for and what Simple Mixes was showing up for, boosting both CTR and CVR over time.",'<span class="font-bold">3. Conversion-Focused Listing Optimization</span>',"Even the best ads can\u2019t drive ROI if the product page doesn\u2019t convert. SellerApp collaborated with the brand to overhaul listings by:","<ul><li> <b>Aligning titles, bullets, and backend keywords</b> with converting search terms.</li><br><li> Improving product imagery and infographics to highlight use cases and benefits.</li><br><li> Updating A+ content to reflect clean-ingredient positioning and trust signals.</li><br><li> Building messaging frameworks to differentiate from lower-priced or mass-market competitors.</li><br></ul><br><br>","The result? Conversion rate jumped from <b>13% to 16%</b>, increasing ROAS without touching the ad budget.",'<span class="font-bold">4. Product Launch Readiness</span>',"One of their biggest hesitations was launching new products into a system that didn\u2019t work. Once the performance of core SKUs stabilized, SellerApp helped build a <b>launch framework tailored</b> to small businesses:","<ul><li> <b>Created low-risk, high-return campaign setups</b> for new SKUs.</li><br><li> Allocated ad budget using forecast models tied to break-even CAC.</li><br><li> Used keyword mining to fuel launch campaigns with exact-match convert
1ing terms.</li><br><li> Paired product launches with listing enhancements and review request sequences to boost trust signals quickly.</li><br></ul><br><br>","With this infrastructure in place, Simple Mixes was finally able to move forward with confidence, knowing that new products would be backed by proven systems, not guesswork.",'<span class="font-bold">5. Bi-Weekly Strategy Consultations & Custom Dashboards</span>',"SellerApp didn\u2019t just deliver tools, it delivered partnership.<br>Through <b>bi-weekly strategic calls</b>, the team gained ongoing visibility into:<br>","<ul><li> What\u2019s working (and why).</li><br><li> Where to pull back or double down.</li><br><li> How to prepare for seasonal shifts and algorithm changes.</li><br></ul><br><br>","Custom dashboards and performance snapshots gave real-time access to metrics like TACoS, conversion rate, and keyword rank, turning complexity into clarity."]}]},this.fifthContentSection={class:"center",content:[{heading:"Results",description:["Within just six months of a strategic partnership with SellerApp, Simple Mixes achieved measurable improvements across key performance metrics, not only reducing advertising costs but also fueling significant revenue and ranking growth.",'<h4 class="font-bold">Ad Revenue: +550%</h4>',"<p>A 6.5x increase in ad revenue was driven by improved campaign structuring, precise keyword segmentation, and optimized bid strategies. With more budget allocated toward high-performing gelatin variants and flavor-specific campaigns, visibility improved and click-throughs translated into stronger purchase volume. This reinforced confidence in reinvesting into advertising, most importantly, it gained their confidence and helped them expand.</p>",'<h4 class="font-bold">ACoS: 35% \u2192 15%</h4>',"<p>The Simple Mixes team initially struggled to maintain efficient ROAS due to loosely structured campaigns and non-targeted keyword usage. With SellerApp\u2019s automation engine and refined targeting strategies in place, the campaigns became far more efficient. This 20-point drop in ACoS allowed the brand to scale ad spend confidently without sacrificing profitability.</p>",'<h4 class="font-bold">TACoS: 11% \u2192 7%</h4>',"<p>A lower TACoS signaled a growing organic contribution to total revenue, proof that ad dollars were driving not just clicks but long-term visibility and sales. By focusing on top-converting search terms and optimizing listings, the impact of ads extended well beyond paid placements, boosting total brand efficiency.</p>",'<h4 class="font-bold">Total Sales: +244%</h4>',"<p>With improved ad performance, better keyword targeting, and consistent listing optimization, the brand saw over 3x growth in total revenue. The team\u2019s focus on scaling bestsellers while preparing new launches helped diversify income sources and reduce reliance on just a few SKUs.</p>",'<h4 class="font-bold">Conversion Rate: 13% \u2192 16%</h4>',"<p>A well-structured keyword strategy and listing optimization directly influenced conversion improvements. With more relevant traffic landing on pages and clearer value propositions through content updates, shoppers were more likely to complete purchases.</p>",'<h4 class="font-bold">CTR (Click-Through Rate): 0.4% \u2192 0.7%</h4>',"<p>The rise in CTR reflects more qualified impressions and a better match between customer intent and ad creative. By aligning keywords with specific flavor and pack-level offerings, the brand was able to appear in more relevant searches, encouraging more clicks per impression.</p>",'<h4 class="font-bold">Hero SKU Organic Rank: #48 \u2192 #12</h4>',"<p>The dramatic improvement in organic rank was driven by sustained ad performance and a focus on high-volume, relevant search terms. As ad-attributed sales increased, they helped improve organic ranking, creating a flywheel effect that enhanced discoverability and drove additional organic traffic.</p>",'<h4 class="font-bold">Impressions: 250K \u2192 1.6M</h4>',"<p>A 6x jump in impressions showed the growing reach of the brand\u2019s ads, largely due to better campaign segmentation by flavor and pack size, coupled with higher-performing keywords. 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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.