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SEO predictions: 3 unique ways to demonstrate the value of SEO to customers and stakeholders

1. Use SEO Forecasting During SEO Strategy Creation To Validate Attainable Goals

1. Use SEO Forecasting During SEO Strategy Creation To Validate Attainable Goals

Your first step in building your SEO strategy is to choose your goals and objectives.

These goals should be the north star around which all parts of your strategy work.

You probably had to answer questions related to business objectives such as:

Using SEOmonitor’s Forecast, you will be able to answer these questions and confirm your value as a thought leader.

Plus, you’ll be able to explain these metrics, set expectations, and provide insight into where to best invest your marketing budget.

With the answers to those questions in your pocket, you’ll be able to start building the foundation of a comprehensible SEO strategy that stakeholders will love.

As I am personally a fan of the “SMART Objectives” framework, I recommend you use it to develop your strategy, as it forces you to consider whether your objectives are actually measurable and achievable.

One example to guide you can be: “Increase non-branded organic search traffic by X% within 12 months and Y% within 24 months while improving the website conversion rate to our agreed conversion goals of Z %.

How To Validate Your SEO Objectives

Let’s look at an example to understand how forecasts help create and explain these measurable and specific objectives.

In this example, I’m working on a real estate and property website, which I’ll call “Property Search”.

Real Estate Search receives approximately 5 million organic search sessions per year.

Now that you’ve figured out your questions, you can use SEO forecasting to help you make sure those metrics and goals are actually achievable.

Define Your Keyword Data At A Granular Level

The more granular you structure your keyword data, the better.

Define your information architecture and group strategic clusters of search phrases together.

SEOmonitor provides a folder and group structure, which helps you set the level of granularity you need.

Image by SEOmonitor, September 2022

This level of granularity allows you to create different forecast scenarios based on your choice of specific folders or groups. That’s how you can validate relevant metrics against different objectives.

In order to forecast metrics for my first objective – “maintain and grow the non-branded organic search traffic the site is already receiving” – I start the forecasting process in SEOmonitor with the folders and groups I’ve structured “Property Search’s” refers to current organic search queries.

Image by SEOmonitor, September 2022

Create & SEO Strategy Reliable Case Test

The SEOmonitor forecasting solution provides all the key variables you need to create a reliable case:

A key part of the forecasting process is the ability to adjust the conversion rate in the SEOmonitor forecasting algorithm.

Sometimes, when you are familiar with a brand, your expertise can help you tailor the forecast to a more accurate prediction.

For example, an issue I have encountered in the past is that conversion data in Google Analytics does not match the data in internal systems, in some cases by 20 – 30%. In this case, adjusting the conversion rate you are predicting gives a much more accurate metric in the final forecast.

Image by SEOmonitor, September 2022

The resulting forecast scenario provides all the data needed to answer the aforementioned questions, validate my first objective, and provide valuable insight to my client.

2. Uncover New Business Opportunities With SEO Forecasting

2. Uncover New Business Opportunities With SEO Forecasting

Building on this projection, we can now turn our attention to the second objective I laid out: “increase non-branded organic search traffic for new areas of opportunity.”

How To Identify Gaps In Your Competitor’s SEO Strategy

After extensive research into new areas of opportunity for “Property Search”, and identifying clusters of keyword phrases relevant to the business, we identified achievable gaps in the competitor landscape.

We consider that gaps are possible due to the level of authority of the business in the competitive landscape.

Image by SEOmonitor, September 2022

3. Use Predicted SEO Forecasts To Help Business Decisions

3. Use Predicted SEO Forecasts To Help Business Decisions

Working with the Director of Sales at “Property Search”, we were able to use the data in both cases to predict revenue generated from the site based on the increase in conversion.

Based on the estimated increase in non-brand traffic, we are able to estimate the increase in their display advertising revenue from advertisers on their site.

All of this impacts the ability to better predict commentary and make decisions at board level about the best areas of marketing investment.

On a final note, you may be wondering why we didn’t group these two forecast scenarios together, which is a good question.

This is because our two objectives required different tactics to succeed:

As these objectives can be assigned to specific stakeholders within the “Property Search” team there was greater accountability and clarity as to who was responsible for delivery in each area of ​​our strategy.

Use SEO Forecasting To Show Business-Wide Needs For SEO

Use SEO Forecasting To Show Business-Wide Needs For SEO

Forecasting SEO based on keywords and desired ranking goals allows you to set clear, measurable objectives and make a strong business case for:

That also translates into potential business outcomes that clients and stakeholders care about.

That’s how you turn the conversation from SEO as a cost to SEO as an investment.

With SEOmonitor’s Forecast, which considers all the key variables that influence your keywords and rankings (device segmentation, search data including seasonality and year-over-year trends, CTRs, and conversion rates), you can check every calculation and trust the data.

Join us if you want to create more value for your clients and stakeholders with more transparency and precision.

The opinions expressed in this article are those of the sponsor.

What is time series forecasting in data science?

What is time series forecasting in data science?

Time series forecasting is a set of methods in statistics and data science for predicting some variables that develop and change over time.

What are the 4 components of a time series? Here are the 4 main parts:

  • Trend component.
  • Seasonal component.
  • Cyclic component.
  • Irregular component.

What is time series data examples?

Commonly, a time series is a sequence taken at consecutive equally spaced points. So it is a sequence of discrete time data. Examples of time series are ocean tide heights, sunspot counts, and the daily closing value of the Dow Jones Industrial Average.

What is time series forecasting give examples?

Examples of time series forecasting Predicting the closing price of a stock every day. Forecast product sales in units sold each day for a store. Forecast unemployment for a state each quarter. Average daily gasoline price forecast.

What is considered time series data?

Time series data is data recorded over consistent periods of time. Cross-sectional data consists of several variables recorded at the same time. Pooled data are a combination of time series and cross-sectional data.

What is time series What are its component explain with example?

A time series is a collection of observations of well-defined data items obtained by repeated measurements over time. For example, measuring the value of retail sales for each month of the year would involve a time series.

What is time series forecasting in Python?

Time series analysis includes methods for analyzing time series data to extract meaningful statistics and other characteristics of the data. Time series forecasting involves using a model to predict future values ​​based on previously observed values.

What is time series and forecasting?

Time series forecasting occurs when you make a scientific prediction based on time-stamped historical data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making.

What is time series forecasting in deep learning?

Time Series Forecasting refers to the use of statistical models to predict future values ​​using previously recorded observations.

What is the main objective of time series forecasting?

Time series analysis has two main goals: to identify the nature of the phenomenon represented by the sequence of observations, and to make a forecast (to predict the future values ​​of the time series variable).

Is Python good for time series?

Python provides many easy-to-use libraries and tools for time series forecasting. Specifically, the stats library in Python has tools for building ARMA, ARIMA and SARIMA models with just a few lines of code.

What is the main objective of time series forecasting?

Time series analysis has two main goals: to identify the nature of the phenomenon represented by the sequence of observations, and to make a forecast (to predict the future values ​​of the time series variable).

What is the purpose of time series data?

Time series analysis helps organizations understand the root causes of trends or systemic patterns over time. By using data visualization, business users can see seasonal trends and delve deeper into why these trends occur. With modern analytics platforms, these visualizations can go far beyond line graphs.

What is forecasting in time series?

Time series forecasting is a technique for predicting events through a sequence of time. The technique is used across many fields of study, from geology to transportation to economics.

What is the goal of time series forecasting methods?

Time series forecasting occurs when you make a scientific prediction based on time-stamped historical data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making.

What is time series and objectives of time series?

A time series is a data set that tracks a sample over time. In particular, a time series allows one to see which factors influence certain variables from period to period. Time series analysis can be useful to see how an asset, security or economic variable changes over time.

How does Google Analytics measure organic traffic?

On the left sidebar, click on ‘Audiences,’ and then âOverview.â To see organic traffic, click on the gray box that says ‘All Users,’ which will take you to the screen below. Scroll to find ‘Organic Traffic’ in the segment list, select it, and press the Apply button.

How does Google Analytics determine organic traffic? Organic traffic in Google Analytics can be found under the Attainment section. Click on All Posts, then Channels. By navigating to this section, you will find the various traffic sources, including organic traffic. It will show you the amount of sessions, plus the percentage of your traffic to each source.

How is organic traffic measured?

How it’s calculated: We find all the keywords for which your target is in the top 100 organic search results. We estimate how much traffic your target receives from each of those keywords, based on their ranking position and our estimated CTR for that post. We add up all these numbers.

What is the organic traffic metric?

Organic traffic is a metric measured by Google Analytics that shows how many visitors came to your website from search engine results pages (SERPs) on google or bing, for example.

How does Ahrefs calculate organic traffic?

We calculate the organic traffic of each keyword at the respective ranking position of the target website/URL by multiplying the estimated search volume of the keyword and the unique CTR of the target website/URL position in SERP.

How does Ahrefs calculate traffic? Ahrefs estimates are based on ranking data from our database of 6.1 BILLION keywords. Here’s what we do to calculate traffic estimates in a nutshell: Take all the keywords a website is ranking for; Check monthly search volume, ranking position, and click-through rate for each keyword (across 170 countries);

What is organic traffic on Ahrefs?

The value of Organic Traffic is the estimated monthly cost of traffic from all the keywords your site ranks for if paid through PPC. The value of Paid Traffic is the estimated monthly cost of traffic from the keywords a site is ranking for through PPC.

What does organic traffic mean?

Organic Traffic This traffic is defined as visitors coming from a search engine, such as Google or Bing. This doesn’t include paid search ads, but that doesn’t mean that organic traffic isn’t positively or negatively impacted by paid search or display advertising.

Is Ahrefs organic traffic accurate?

Ahrefs was the next most accurate, underestimating total traffic for all sites by 17% (11.1m estimated visits compared to 13.4m actual visits), and on average underestimating the traffic 36% percent.

What is organic keywords in Ahrefs?

Written by Rebekah. This is the total number of keywords that have your website, subsection or target URL in the top 100 organic search results in Google, across all countries in the Ahrefs database.

How is organic traffic search calculated?

To get the estimated traffic from each keyword, simply multiply SF by CTR, then total the values ​​from all keywords to get your total estimated organic search traffic.

How do you calculate organic traffic growth?

You can calculate your website’s traffic growth by first subtracting the number of sessions last month (or year) from the number of sessions this month (or year). Then divide the result by the number of sessions last month (or last year) and multiply the result by 100 to convert to a percentage.

What is a good percentage for organic search?

The overall average percentage of organic traffic that should be converting into leads is 16%

How much traffic do you get from organic search?

Released as part of its annual Share Conference, BrightEdge Research found that Organic and Paid Search dominated website traffic in 2019 – 68% of all trackable website traffic comes from organic and Paid Search, which significantly outperforms all other channels, including Display and Social. Media.

Is Ahrefs organic traffic accurate?

Ahrefs was the next most accurate, underestimating total traffic for all sites by 17% (11.1m estimated visits compared to 13.4m actual visits), and on average underestimating the traffic 36% percent.

Which is more accurate Semrush or Ahrefs?

Both Ahrefs and Semrush are evenly matched in terms of accuracy, but Semrush has a slight edge because it refreshes more often. Ahref and Semrush data generally match and even out, but Semrush will give you near-real-time visibility into changes.

Can you find competitor backlinks with Ahrefs?

We’re crawling so fast, in fact, that the Ahrefs crawler beats Bing, Yahoo, and Yandex. The bottom line? You can use the Backlinks Site Explorer report to check backlinks to any website or web page. So if you go to a competitor’s site, you will see all their backlinks.

What is a good monthly traffic?

According to Mike Sullivan, the largest contributor to the Google Analytics support forum, the percentage of visitors who return to your site should be around 30%. Anything less than that is below average, and around 50% is considered good.

What is the average website traffic? Average Number of Visitors per Month At the lower end of the spectrum â 13% of local businesses receive less than 100 visitors to their sites each month, while 55% receive less than 500. At the higher end, 20% of businesses receive more more than 1500 monthly visitors to their site, and 15% get over 2500 visitors.

What is a good number for organic traffic?

While many factors contribute to a website’s organic search traffic conversion rate, a strong marketing strategy and content plan can put you well above the average 16% rate.

How do you measure organic traffic?

How it’s calculated: We find all the keywords for which your target is in the top 100 organic search results. We estimate how much traffic your target receives from each of those keywords, based on their ranking position and our estimated CTR for that post. We add up all these numbers.

What percentage is organic traffic?

Released as part of its annual Share Conference, BrightEdge Research found that Organic and Paid Search dominated website traffic in 2019 – 68% of all trackable website traffic comes from organic and Paid Search, which significantly outperforms all other channels, including Display and Social. Media.

What is considered organic traffic?

Organic Traffic This traffic is defined as visitors coming from a search engine, such as Google or Bing. This doesn’t include paid search ads, but that doesn’t mean that organic traffic isn’t positively or negatively impacted by paid search or display advertising.

What is considered low website traffic?

Websites with less than one page load per second and low traffic websites are usually viewed. If you have more than 50 visitors at the same time on your website it starts to be a medium traffic website.

What causes low website traffic?

The most common reason for a sudden drop in website traffic is a recent search algorithm update. Penalties, redirects, bots wrong. txt rules and loss of ranking are the other legitimate reasons to see a drop in website traffic.

What is considered Web traffic?

Definition: Website traffic refers to web users visiting a website. Web traffic is measured in visits, sometimes called “sessions,” and is a popular way to measure the effectiveness of an online business in attracting an audience.