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How To Calculate Your Total Addressable Market (TAM) For SEO

Calculating your SEO TAM offers valuable business insights whether you need to pitch SEO to a client or are launching a new product.

While correctly forecasting for TAM is crucial in product development, pitching for additional funding is essential in generating market capital.

Your marketing team is a key part of your user acquisition and SEO strategies alike.

It will be able to help you prioritize those optimization activities based on your pre-existing keyword sets.

Your total addressable market (TAM) (aka the market you can get to) differs from your total market (TOTM) (aka the market that already exists). Your TOTM, the audience for which your product or service will provide value to these people, differs from the audience for

The TAM is a fraction of the Market and is somewhat tightly tied to the Personas and potential users of your product/service that have gotten your initial E-mails.

What Is The Total Addressable Market (TAM) Formula?

The formula for calculating your TAM (well I guess for any other broad business sense) stipulates:

Market/Job-Target x Competitive Position = TAM

Your potential market is the number of potential users, e.g. the number of email users in the world is estimated to be around 4.03bn, but if your competitive position is to cater to U.S. users only, your TAM is approximately 250 million.

Your TAM CAN ALSO be influenced by users who add products near yours.

Suppose that you are an online service that focuses on user privacy as a core USP.

As a result, people in your overall market use other privacy-focused products, such as Brave (browser) and DuckDuckGo, who apart from a rise still shows a downwards trend.

If we break down our potential users into the four sectors—lower, upper middle, upper, and super-rich—we can use existing tools and data to create estimates for monthly revenue.

Read How SEO Supports Small Businesses.

Establishing Your TAM

Establishing Your Reputation Value, for me, is a three-step process;

  • Fully identify and identify product USPs and capabilities (current, and forecast).
  • Comprehensive keyword research around your product/service/offering.
  • Traffic estimations (click curves and opportunity gap analysis).

This information can be used to help develop more content, and improve the user experience

It allows the user to forecast their experience of the product more accurately, thus eliminating rising sales abusers in the pipeline and reducing both churns and redundancies in the research process associated with those improvements.

From work experience, these meetings can also help identify some things we need to be careful about and remind you of things that you may have previously overlooked.

Meantime, by analyzing the mass of data, you should break down the tasks of the project by their description and overall procedure to make a significant, step-by-step plan. If you analyze your current plan and the original plan, as well as the market and your strengths

The third step is to determine if there is any traffic disparity on the keywords. In addition to using the list of keywords, you can use information about the current rank of the target webpage or the presence of SERP features, in addition to any gaps in the keyword ranking.

To analyze this information, I’m going to use the company Swisstrade as an example (using publicly available data on an SEO tool).

The Narmi website is currently ranked for approximately 850 important keywords in the U.S. on Google and the terms generate approximately 500 sessions each month as browsing and searching for those keywords produces results that receive around a hundred hits on the first page.

If the domain ranked higher than other pages simply for specific words or phrases, that page would get about 81,000 visitors annually.

This is taking the raw data set. To get a more realistic estimate of TAM, we will also need to: 

  • Use a word or phrase that you didn’t rank for, but which is important to the user.
  • Remove the irrelevant search terms/keywords from the data set, e.g. random brands you rank for that have been picked up because you mentioned them once in a blog post. For example, if you rank for searches of “iPhone 6” you

Position one for all potential search terms isn’t realistic

If you collect data, using your data does not require a linear, step-by-step approach. You can gather information according to a level, and then filter to show the results from that level. If things were 100% better than they were now, you could rectify

Utilizing Your TAM

As well as forecasting the arrival of customers, your survey results can be used to forecast leisure leads and sales inquiries.

Lead Forecasting

These companies have the most important metric that the most stakeholders themselves point to, which includes the C-level executives, other senior sales management, lead generation CYO reps, and other stakeholders.

I have calculated how much load capacity a free WiFi network can handle every day and can model this data using your existing lead files.

Assuming that the current Narmi estimations are correct and that every SQL is qualified and converted into appointments, it will take on average 38 appointments for every qualified sales qualified lead.

The potential lead opportunity for the keyword set at this rate is estimated to be $2,116 a month. # Kenshon / Remainder of strings for developing interface Original 1: As the

This is modeled at 100% on-field credit, but like traffic measurements, we can model this based on incremental performance improvements as follows:

This can be expanded further in future works if the projected lead is added to the forecasting calculation to forecast progress based on churn rates and LTVs.

This shows if there are retention issues.

If there are enough upon the initial free trial sign-up, yet not enough is converting into paid users, then there is a need to address the issue of product or service on-site content. Also, there is a need to evaluate product messaging.

Transaction Forecasting

If you run an eCommerce store, then you can forecast the possible number of sales you can expect, and total revenue (based on your current or forecast AOV).

If you have seasonal, periodic, or extreme changes to your data that go beyond the seasons or regular purchases, you can break this into a specific category or segment, as that would allow you to conduct further analysis so you can forecast for those specific circumstances.

While you can accurately compare your organic transaction and revenue potential starting point with your incremental gains, you cannot apply them directly. Rather, you can see them side by side and work:

Also, do the current user journey and site conversion rates enable growth, and generate revenues that would allow investors and property owners to generate a Return-on-Investment (ROI) and generate cash flow?

Forecast your business transactions or leads on current performance, it may help identify both hidden and developed opportunities.

Learn more from SEO and read 4 SEO Copywriting Tips For Sharper and More Effective Copy.

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