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Showing posts with the label amazon ads automation

TroubleShooting: AutoPilot PPC Automation reducing Ad Spend and Sales?

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For some sellers, putting their campaigns on AutoPilot will reduce their AdSpend and make their products profitable. However common side effects includes lowering of sales. Though this should be preferable to make lower sales but higher profit rather than selling more at a loss, some sellers would like to also increase their sales with AutoPilot Amazon PPC Automation. If that is you, then read on how you can accomplish this task by using a combination of following recommendations. 1) The first thing you should take note of is the CVR and CTR rates. More will be written about this in our subsequent blogs but for now note that CTR is the Click Through Rate and CVR is the Conversion Rate. CTR and CVR columns are available at Profile, Campaign, Group, Keyword and Targeting expression level. CTR is the percentage of people that look at your ad and click on it. CVR is the percentage of people that view your product and buy it. Your CTR and CVR rates depends on the category you are selling. H

Amazon PPC Software: AiHello Ads Automation Roadmap

November 2020: Create Campaigns Bulk: Allow the ability to create auto & manual campaigns in bulk from just providing the SKUs. The keywords for manual campaigns will be automatically harvested from existing campaigns, amazon suggestions or AiHello machine learning algorithms. December 2020: Manual AutoPilot: The new bids are offered as suggestion. This is for large agencies that need one extra step to manually approve new calculated bids. Bids can be approved as single or in bulk. Sponsored Brands: First release of Sponsored Brands Watch YouTube video for more understanding- https://youtu.be/UuWikdQ8RQU Jan 2021: Sponsored Display : Images Sponsored Display: Videos   Feb 2021: Product Targetting: More refinement and better algorithms   April 2021: Instagram Ads:View data and insights AutoPilot for Instagram   June 2021: Facebook Ads: View Data and insights AutoPilot for facebook ads  

E-Commerce: Challenges and Projections

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[et_pb_section fb_built="1" admin_label="section" _builder_version="3.22.3"][et_pb_row admin_label="row" _builder_version="3.22.3" background_size="initial" background_position="top_left" background_repeat="repeat"][et_pb_column type="4_4" _builder_version="3.0.47"][et_pb_text admin_label="Text" _builder_version="3.0.74" background_size="initial" background_position="top_left" background_repeat="repeat"]  The growth in e-commerce is exponential Online retail is perhaps the most high-profile e-commerce sector. Over the past decade, this sector has experienced both explosive growth and spectacular failures. Many of the early pure-play online-only firms that pioneered the retail marketspace failed. Entrepreneurs and their investors seriously misjudged the factors needed to succeed in this market. But the survivors of this early period emerge

Do not leave your brand advertising to anyone.

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Brands and those responsible for their strategy have to face each time more and more varied problems and more demands. In the case of the internet and what they do in that environment, companies can no longer continue to bet on everything and they have to be careful with the type of advertisement they use. This, until the stage they choose to show it to the world. Consumers are increasing with more and more things. Not only do they not want ads to be annoying. They expect brands and companies to strive not to be intrusive, but are also increasingly concerned about who the companies are partnering with when launching those ads. That is, for the consumer, the values ​​of the medium in which they have found the advertisement have a effect on the brand and the company that appears in that advertisement. People in Internet do not separate the content and assume that if you advertise in one place you are supporting that editorial line. That thought has some logic. After all, the media live o

Problems That You Will Have to Inevitably Face

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[et_pb_section fb_built="1" admin_label="section" _builder_version="3.22.3"][et_pb_row admin_label="row" _builder_version="3.22.3" background_size="initial" background_position="top_left" background_repeat="repeat"][et_pb_column type="4_4" _builder_version="3.0.47"][et_pb_text admin_label="Text" _builder_version="3.0.74" background_size="initial" background_position="top_left" background_repeat="repeat"] We do not live in a perfect world. It never happens that everything goes as per plan. Something always goes wrong no matter how hard you try. You’ll find you have your share of issues and challenges to address as an Amazon seller. Have you ever had a relationship that was completely perfect in every way? Finding that perfect client is difficult We don't think so. This one won’t be different either. However, on a more positive note, yo

Predicting Amazon sales using Deep Learning

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Introduction My primary aim was to predict the sales of an item given the Best Seller Rank on Amazon. Predicting the sales helps me in other use cases like suggesting sellers the best products to sell. My final aim is to provide data insights about any product: How much it will sell as well as when, where and how. What is Amazon's Best Seller Rank? Best Selling Rank is a ranking system provided by Amazon that is linked to the number of sales of that product. This rank is calculated frequently. An important point to note is that Best Selling Rank is a 'ranking system' and by itself it doesn't mean anything.     A rank of #1, therefore, means that the product has sold more than any other product in that category, on that marketplace.   This kind of makes it relatively easy to predict the number of sales of a product if we know the sales of other products ranking close to it.   How did we get the initial sales data? I have been selling professionally on Amazon and have bee