Many people have mentioned the importance of data analysis for important online promotion many times in articles, but most people who are new to online promotion think that data analysis is a very boring thing, so many online promoters often fail to do it well. Data analysis, and then blindly carry out online promotion, which makes it difficult to obtain better results and work efficiency is not high. Because data analysis is very important to online promotion, it is often overlooked by promoters.
data collection
Data collection is a very simple thing, but many people ignore it because of its simplicity. Next, Xiao Hu will talk about his own data collection direction, hoping to help website promoters.
1. Collect the top 100 websites in related industries.
2. Collect forums with daily posting volume greater than 3,000.
3. Collect micro groups with more than 500 people in related industries on Tencent Weibo and Sina Weibo.
4. Collect the TOP10 QQ spaces in related industries.
5. Collect QQ groups with high activity in related industries.
data analysis
Xiao Hu talked about the direction of data collection above. After collecting the receipts, of course we should start building external links? In fact, this is wrong. You should learn to analyze the newly collected website data first. Analyze the threshold for this forum to be able to post external links. In addition, which forums have valid signatures, topics can be hyperlinked, and replies can be hyperlinked. Which websites have high Baidu weight and can collect posts quickly? For example, if you collect more than 200 forums, analyze the data and find the 100 most suitable ones, and then do it, will this be more efficient?
If you don’t do these analyzes in advance and just go ahead blindly, you will run into obstacles everywhere. For example, your account has been banned, or you have worked hard for a long time to increase your points, but the external links you sent have no effect, etc. But if you do relevant data analysis at the beginning, you will avoid a lot of mistakes. This is the value of data analysis to online promotion.
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