A traffic forecast is necessary to assess the potential for attracting visitors to a site through search engines using various to Forecast SEO tools. This information is needed both before launching a project and during its development, in order to understand what efforts and tools should be used to achieve the set goals.
To begin with, we suggest downloading c level executive list templates that will help you predict the results in to Forecast SEO (both in terms of traffic and positions).
The total traffic that will come to the site as a result of search engine optimization work consists of:
- from basic traffic (brand traffic + traffic excluding brand words);
- traffic growth without a brand.
Brand traffic is all traffic that comes and will come to the site based on queries containing the name of the company and/or site.
As a rule, such traffic is not taken into account (neither in the base nor in growth), since the company’s website will in the first position for brand words even without the participation to Forecast SEO specialist. Below we will tell you how to filter out brand traffic from the forecast.
Basic traffic without taking into account brand words is organic traffic that is already coming and will come to the site benefits of whatsapp for customer support without additional intervention: perhaps the site has already been worked on or the topic is low-competition, because even non-optimized content can attract traffic for low-frequency and micro-low-frequency queries. The essence is one: this traffic is not the merit of the specialist who begins to work on the project.
Base traffic is the starting point for calculating growth; its level must be fixed before the start of the project.
Non-branded traffic growth (predicted indicator) – all non-branded traffic that will come to the site as a result of the SEO specialist’s work.
When forecasting the overall traffic to a site, all 3 of its components are taken into account.
Let’s move on to direct traffic forecasting. This process can be divided into six stages:
- Defining base non-branded traffic.
- Determining the seasonality coefficient for the site’s target areas.
- Checking basic traffic and adjusting it (if necessary).
- Forecast of demand for goods/services.
- Forecast of the maximum possible traffic growth.
- Forecast of growth by month.
Let’s look at each of these stages in more detail.
Defining Basic Unbranded Traffic
Here, Yandex.Metrica services (let’s take it as an example) or Google Analytics (albeit with some nuances, but the sequence india number list of actions is the same) will help us.
To determine the basic non-branded traffic, you need to create a new report in Yandex.Metrica: Reports => My reports => New report.
We will see a report on all current traffic sources (if there is one on the site at all).
Next, you need to cut off all traffic except non-branded search traffic for the required region/regions (the SEO specialist will focus on this). We remove:
- brand phrases;
- other regions;
- other PS channels and services.
To do this, we form several rules in the report, according to which we configure the display of the segment. We work in the “Visits in which” tab:
3. Visits in which => Geography => Location => select the calculation region:
4. Visits in which => Sources => Last source => Search phrase => All conditions => we write brand words in asterisks, before each word we put an exclamation mark.
Logical operators for cutting off stop words:
- ! – negation;
- *– any value.
Thus, it is necessary to exclude all possible traffic options for brand queries.
Let’s consider this process using the example of the Didmarko online store . From the list of queries, you need to cut off branded ones:
We use operators:
- !*didmarko* — we cut off all requests that contain “didmarko”: didmarko ru, didmarko.ru, didmarko company , etc.
- !*did*marco* — we cut off everything before “did”, everything between “did” and “marco”, and everything after “marco”: did-marco, did marco internet , etc.
Determining the seasonality coefficient for the site’s target areas
Determining seasonality will help when adjusting base traffic and forecasting growth.
To determine seasonality, we use the mask selection method (in Yandex.Wordstat).
[INFO] A mask request is the main request in a cluster, which contains the entire list of loop requests.[/INFO]
The mask is suitable for the site if both the mask itself and all queries from the trail can be take for promotion by traffic. For example, for the page the mask “buy a refrigerator” is not suitable, since its trail includes requests like “buy a used refrigerator “ or “buy an Atlant refrigerator”: