First of all, we need to understand how customers can find our products through one keyword?
I think everyone will definitely talk about "weight". The higher the weight, the more opportunities you will get to show.
Yes, weight is an important factor in increasing organic search traffic, but our product title and details page do not have this keyword, and it will not be searched by people, so the title is also very important.
You might as well think about whether there are other reasons?
In fact, there is another very important one, which is also something that everyone attaches great importance to, but is often overlooked by everyone, that is, the label.
These are the main points to increase store traffic. Today, I will work with you to crack the bus lineup of natural traffic and penetrate the traffic door of Taobao.

1. Increase weight
To increase the weight, we must understand the main constituent factors of the weight and then break them down according to these factors.
The main components of weights are: store level (more is a conversion), click-through rate, favorites, dsr, sales rate, visit depth, Wangwang reply speed, etc.
There are many repetitions in the optimization direction of the above factor, so I will briefly talk about 3 points here.
1. Store level: The store level is directly calculated from the sales quota in the past 30 days. The difference between one level has a huge gap in the chances of obtaining traffic. It is basically divided in this way. Level 7 accounts for 1% of the total store in the category and Level 6 accounts for 4% of the total number of stores in the category. However, stores at these two levels can obtain about 40% of the total traffic; Level 345 accounts for 25% of the number of stores, basically obtain 40% of the total traffic; while the 12th level stores account for 70% of the number of stores, but can only obtain 20% of the traffic.
So does our 12-level store feel hopeless?
Of course, it wasn’t Taobao that closed a door for us, so it would open a window for us. The best way for us to break the bottleneck of low-level, no traffic and no conversion is: direct train promotion and activities. If it really doesn't work, try to make up for two pieces (use with caution if there is risk)
The direct train has nothing to do with the store level, it means using money to buy scalper tickets to get traffic and transactions. But it is far from enough to get a display. If there is only display but no click, then even if you give money, you will probably not get a display. With clicks but no conversion, the money will be wasted. So we must first maintain the car map so that we can get more displays and clicks. Secondly, we must also make a detailed page and obtain a certain sales volume through the activities to bring about conversion.
2. DSR dynamic service score: including descriptions, service attitude, and logistics services. To put it more bluntly, it depends on our products, service quality, and logistics speed attitude. If the quality is good, the service will be very good. But one thing we often ignore is logistics. Logistics is the most direct impression with customers. We often default to a certain express delivery when customers place an order, but maybe this express delivery is not popular with the public in the local area, or a customer has some bias towards this express, then we may get a surprising bad review, so it is best to ask the customer's needs before choosing logistics. A good logistics must also have a beautiful packaging, which at least reflects the importance of the baby. A simple example: in daily life, if we buy something or give a gift, a ragged packaging will give people a bad feeling. To sell a good product, you must first respect your product. Packaging is the first step.
There is no default rating for dynamic ratings, so the default rating has no impact on dynamic ratings. Then letting customers who do not score give five-star praises is also an important shortcut to improving DSR. Here we have to think of a way, but the cashback of positive reviews is illegal.
3. Access depth: Access depth does not seem to have a great impact on weights, but in fact it has a great impact.
Why can customers gain in-depth access? Because there are many products in the store that make customers worth visiting.
Let me give you an example. When we buy shirts, our store is shirts. If there are many shirts in this store, we will go and see other ones, but if the store has pants or T-shirts, we may leave.
The name here shows the importance of a small but refined store. Small does not mean selling few things, but focusing on a small field. In fact, it is small to improve the depth of access, and it is great to drive sales throughout the store through one or two traffic diversion models.
The product is still the origin of improving the weight of the store. Choice is greater than hard work. Products with good quality and good market are the prerequisites for optimization. Otherwise, it will be empty talk. Only by being small and precise can one focus, and only by focusing can one better understand. Only by understanding can one better find a method.
2. Title optimization
What kind of title is a good title?
The name simply believes that a title that can bring as much precise traffic as possible is a good title.
Here are two issues: maximum keyword traffic and high keyword correlation.
1. Maximize keyword traffic
In daily sales of a product, the main source of traffic may change, and traffic will have room for improvement and necessity. The title is also an inevitable optimization object. How can we optimize the title and get more traffic? Here we need to use two tools: business consultant and Excel.
Through the product sources in the business consultant, find some major keywords in the recent period, download and find the desktop to generate an excel file, and then create a new document to list the smallest words. For example, keywords such as "women's shirt" can be divided into two words "women's style" and "shirt", and then use the smallest phrase as units to find the most recent data of the word through text filtering. Keep the data OK.
2. High correlation of keywords
The correlation of keywords in the title is the correlation with baby categories and attributes. This is not difficult to understand and is easy to operate. However, sometimes during the operation, we will add some keywords in order to increase the traffic, such as adding chiffon keywords for pure cotton. Although this has temporarily attracted traffic to the store, the inaccurate traffic introduced is a harm to the click-through rate and conversion rate, and it has a great impact on the weight.
In fact, the optimization of the title is a process of finding words and combining words. Finding the customer's recent search for hot words, and then combining these hot words to ensure that they are within 60 characters. But relevance must be guaranteed.
3. Label matching
Taobao traffic matching is becoming more and more accurate. Whether a product can be received by buyers depends largely on whether the product label and the crowd label overlap, and how high the overlap is. Then the more tags we have, the more we can match more people. Of course, our tags must be accurate, otherwise the increase in traffic will only reduce our click conversion rate. So how can we label our products as much as possible?
First, let’s understand the principle of label formation:
In the daily purchase process, the buyer will slowly label himself, such as gender, home address, occupation, age, family population, purchasing habits, etc., but this label will also change, just like a buyer is usually short of money, but suddenly wins 50 million one day, and his consumption habits will immediately change. But no matter how the changes are, the labels the system labels the buyer must be very detailed.
After the product is put on the shelves, we will label the product, such as: category, attribute, price, etc., but the label at this time is just a preliminary product category attribute label. At this time, the system will match a certain amount of traffic according to our category attributes, and will continue to convert and add purchases through clicks, conversions, collections and purchases, and slowly turn into buyer matching tags.
For example: If we sell a linen shirt that costs 150, the system will match some buyers who like linen clothing, shirts, and average consumption capacity. So when people aged 20-30 click to buy, the system will add a consumer group for our stores to 20-30.
However, such people are not fully covered, because we also have the habit of buying this product by other age groups. For example, if there are no people between the ages of 30 and 40 who have purchased it in multiple purchases, the system will match fewer such groups. However, if this group has good consumption capacity for this product, then we will waste a lot of precise traffic.
How can we find as many people as possible with our tags?
First of all, we must have a certain understanding of our products. If we are not very clear about this, then we will not be doing well in this industry.
Secondly, we can also search crowd portraits through business consultants and find the search crowd characteristics through keywords.
After finding these characteristics of the population, what we need to do is promote among these groups:
1. Old customers, unintentional old customers are very accurate groups, and the repurchase rate of old customers is also ideal for increasing weight. However, the order swiping of old customers has been checking more strictly recently.
2. Direct train, direct train promotion is now basically a life-saving medicine for various good products (there is no way to do poor quality). Direct trains not only spend some clicks to promote sales, but also a point that through crowd premiums, they quickly label products with accurate crowd labels.
3. When brushing orders, many friends violently increase sales through brushing orders, but the labels of professional brushing groups are originally very messy, so this type of people not only does not help the labels, but also disrupts the store labels. The audit system will also conduct audits of stores through labels. So you should be careful when answering the above sentence.
During the entire operation, we need two tools: Business Staff and Express Train. Business Staff conducts data analysis. The Express Train can quickly increase our sales and speed to help us label precise crowds. We can also optimize the title of the product through the traffic diversion keywords of the Express Train. The Express Train is not a direct money-making tool, but we should regard it as a store-keeping tool.