Cloud Phone Auto-Like Collection Counts, New Side Hustle for Making Money

Why Boosting Favorites is a Must-Learn for E-commerce Operations

On major e-commerce platforms like Taobao, Pinduoduo, and JD.com, the number of favorites is one of the core indicators for measuring product popularity and potential customer interest. According to industry public data, for every 100 favorites added, a product’s exposure rate in recommendation placements such as “Recommended for You” increases by an average of 12%–15%. For new stores or new products, which have no initial sales or review accumulation, favorites become the first key to unlocking organic traffic. Similarly, on cross-border e-commerce platforms like Shopee and Lazada, favorites also affect search rankings and event registration thresholds. Therefore, many sellers, side-hustle entrepreneurs, and even individual studios resort to “boosting favorites” to quickly increase their weight and create the groundwork for a hot-selling product.

However, manually boosting favorites is extremely inefficient. One person can handle at most a few dozen accounts per day, and each account requires switching IPs, clearing caches, and simulating real user behavior—otherwise, it’s easy for the platform to flag it as fake activity. Once risk control is triggered, not only are the favorites wasted, but the main account may also be demoted or banned. So, is there a more efficient, safer, and scalable method? The answer is: using cloud phones + automation tools. And among these, the solution provided by NestBox is a benchmark in the industry.

Cloud Phones: Solving Account Association and Multi-Instance Issues

Independent Hardware Fingerprints, No More Account Linking

In traditional approaches, many people use multi-instance apps or emulators on their computers, but these tools often share hardware characteristics (such as MAC address, motherboard serial number, device ID). The platform backend can easily detect multiple accounts coming from the same device through fingerprint correlation, leading to mass bans. Cloud phones, in essence, are real phones in the cloud, with each device having its own independent hardware fingerprint (IMEI, IMSI, Android ID, etc.), just as if you had bought dozens of physical phones. NestBox adopts this technology, with its underlying infrastructure based on ARM server physical clusters, where each cloud phone is assigned real chip, memory, and storage resources, completely isolating fingerprint associations. This means you can simultaneously operate dozens or even hundreds of accounts, each appearing as a real user from a different city and different phone.

24/7 Online, Automated Without Supervision

Manual favoriting requires constant screen-watching, but with cloud phones combined with RPA (Robotic Process Automation) tools, you can set scheduled tasks to let cloud phones automatically perform actions like searching, browsing, and favoriting. NestBox supports uninterrupted 24/7 operation, so even while you sleep or work, your cloud phones are executing your scripts. A typical scenario: you set it to start at 8 AM every day, using 30 accounts to search for the keyword “women’s clothing spring new arrivals,” then randomly click on 3 products, pause for 30 seconds, and favorite the target product. The entire process requires no manual intervention, and once configured, it can run cyclically. Compared to the per-minute cost of your own time and effort, NestBox’s per-minute billing model (as low as $0.01/minute/device) makes batch operations extremely cost-effective.

Practical Guide: How to Automate Favorites Boosting with NestBox

Step 1: Apply for Cloud Phones and Deploy the Environment

First, register a NestBox account, and purchase cloud phone instances based on your business scale. It’s recommended that beginners buy 5–10 units for testing. Each cloud phone comes pre-installed with the Android system, and you can install apps just like on a real phone. You need to log into an independent e-commerce platform account on each cloud phone (it’s advisable to use one device, one SIM card, one IP; NestBox offers custom IP options, allowing you to assign IPs from different cities). Next, install an RPA tool, such as “Button Wizard” or “Auto.js”, and write simple scripts to simulate manual browsing and favoriting actions. NestBox’s SDK also supports direct API calls for more advanced automation. If you know a bit of programming, efficiency will be even higher.

Step 2: Set Anti-Association Strategies

This is the core risk point. NestBox’s independent hardware fingerprints already solve device-level association, but you still need to pay attention to account behavior and network environment. Recommendations:

• Bind different HTTP proxies or SOCKS5 proxies to each cloud phone. NestBox supports one-click global proxy configuration—you only need to fill in the IP list in the backend.
• Add random delays in the script (browsing duration from 3 to 15 seconds, etc.) to avoid all accounts performing actions at the exact same second.
• Execute in different time slots: don’t let all cloud phones act simultaneously. Set each account to run in different time periods, such as unit 1 at 8:00–8:30, unit 2 at 8:10–8:40, and so on. This better mimics real user behavior and makes it nearly impossible for platform risk control to detect.

Step 3: Data Monitoring and Effect Review

The goal of boosting favorites is not just the number itself, but increasing weight and conversion. NestBox provides detailed operation logs and performance monitoring, so you can see each cloud phone’s CPU and memory usage, as well as script execution success rates. Combined with the product favorites data from the e-commerce platform backend, you can calculate the natural traffic increase brought by every 100 favorites. For example, I personally ran a Taobao C-store using 20 cloud phones for 3 consecutive days, boosting 300–500 favorites each for three new products. Afterwards, the average click-through rate for these products in the “Potential New Products” pool increased by 22%, and the search ranking rose from page 8 to page 3. More importantly, there was not a single violation notice.

Profit Calculation for Scaling: Is It Worth the Investment?

Many people are concerned about costs. Using the minimum configuration:

• NestBox entry-level price is about $0.02/minute (slight variations depending on configuration and IP fees). Running one device for 8 hours a day costs about $9.6. If you use 10 devices, the daily cost is about $96.
• Assume each cloud phone can complete 50 favorites per day (including browsing and waiting time), 10 devices yield 500 favorites.
• The organic traffic growth from 500 favorites, assuming an average conversion rate of 3%, brings an additional 15 orders. If the average order value is $100 and the gross margin is 30%, the daily profit is about $450. After deducting the $96 cloud phone cost, the net profit is $354/day. This doesn’t even account for the time you save—manually doing 500 favorites would require at least one person working full 8 hours, and it would likely trigger risk control.

If you are in cross-border e-commerce (e.g., Shopee, Lazada), favorites have an even higher weight in the platform’s ranking algorithm and directly affect “new listing traffic support.” With NestBox’s RPA automation capabilities, you can simultaneously operate multiple sites and multiple stores, achieving true “passive income.” NestBox’s 99.95% availability means business interruptions due to server failures are extremely rare. Combined with per-minute billing—pay only for what you use—it is very suitable for small teams to test and iterate.

Precautions and Compliance Tips

Although boosting favorites is a gray-area tactic, e-commerce platforms are getting stricter. A few tips to help you avoid risks:

1. Don’t rely solely on favorites: Weight is a multi-dimensional metric that needs to be combined with reviews, add-to-carts, and purchases. You can use NestBox to simulate a more complete user journey (browse → favorite → add to cart → purchase), but purchases require real money flow and carry higher risk. It is recommended to stick to favorites and add-to-carts only.
2. Control the ratio and speed: If a new product suddenly spikes by thousands of favorites with zero reviews, it stands out. It is advisable to keep daily increases no more than three times the average daily growth of similar products.
3. Nurture your accounts: Don’t only perform favorites on the cloud phones. Simultaneously browse other products, like posts, follow accounts, etc., to make account behavior more human-like. NestBox’s unlimited multi-instance capability allows you to cultivate a batch of high-quality accounts at low cost.

In summary, automating favorites boosting with cloud phones is an efficient tool for side-hustle income, cross-border e-commerce, and social media marketing. Compared to traditional emulators or real phone farms, NestBox, with its independent hardware fingerprints, RPA automation support, 24/7 operation, and per-minute billing model, truly achieves safety, low cost, and scalability. If you are looking for a way to break through traffic bottlenecks, consider starting your automated operations journey with NestBox.