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How To Hire SEO Services To Help You Grow Your Business?

How To Hire SEO Services To Help You Grow Your Business? Who is an SEO freelancer, and SEO Agency, look out for when hiring for SEO services

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How To Hire SEO Services To Help You Grow Your Business

Many businesses (local or international) want to have better rankings on search engine result pages, meaning more traffic and more sales. But the process involves doing this isn’t common knowledge, especially amid competitors; hence an expert is required.

The expert here has to optimize a business website to rank well on Google or any other search engine. Finding the right service, especially if it’s your first time, can be a daunting task.

The difficulty involved is understandable, especially when one looks at the uncertainties of a service like this.

Well, we’re here to simplify the process for you and build confidence while doing so.

How To Hire SEO Services For Business

This article is going to take you close to knowing what’s required or expected from a freelancer or agency offering freelance Search Engine Optimization services.

Before we get further let’s clear the air about the differences between an SEO freelancer and an agency.

1. Who is an SEO freelancer?

An SEO freelancer is mostly an individual who offers SEO services, usually a small part of the process. When hiring an SEO freelancer, it’s not always for a whole task as this wouldn’t just sit right.

For instance, you can hire an SEO freelancer to build backlinks of a particular type of drive social signal to your domain name. The whole SEO process of a business or company will be too much for a single person to handle.

To hire an SEO freelancer, it means you know precisely what you want to be given. To be as straightforward as possible, only an SEO expert is advised to hire a freelancer; otherwise, you should consider hiring an SEO agency.

2. What is an SEO Agency?

This is an organized team offering SEO services holistically. They comprise of a group of experts handling all SEO parts and sometimes give the custom report. Of course, they come at a higher cost from its sound, but if you ask me which is better, I will pick the SEO agency any day. Example of an Agency is Webfx.

Let’s get down to a more critical part of this article.

3. What to look out for when hiring for SEO services?

Some things can determine if you’re about to hire the right SEO service provider or not. Consider the following tips:

a. Previous jobs:

This has got to be the most important tip on our list. Finding out previous jobs handled by an agency or whoever you’re hiring makes you ascertain if your site will be in safe hands. Previous positions are done and how it pans out can give you confidence showing that your site is in safe hands.

You can take the niches and the projects’ sizes into consideration as this will give a heads up on what the service provider can handle.

b. What problems are easily spotted:

This is where a site audit comes in – it doesn’t have to be in-depth at this stage, but a brief point where a problem is visible can go a long way to show proficiency.

Many tools out there can generate a quick audit it’s left for your potential employee to add words to it, it can be compared to your competitors. Not all site audits can be done by an online tool, so it’s left for the agency to prove its expertise.

c. Possible fixes:

Remember, at this interview stage, things must not be necessarily in-depth, but answers should be able to pinpoint possible holes.

This can be derived from the site audit gotten from a previous stage.

Most agencies are always glad to lay down what needs to be done as this is a stage where new clients are convinced or lost.

d. When do I start seeing results?

This is probably the first thing in every employer’s mind. SEO takes time to kick in; no one no matter the level of expertise can say for sure the day or week results will be seen. However, a time frame is predictable.

The experts should be able to put curiosity to rest and estimate when results should turn for the better.

e. The price:

Of course, there’s a price, and this will determine whether the deal goes through or not. Unlike, freelance SEO services SEO agencies have a list of packages where you can choose from.

These packages make sure everything is well spelt out, so you don’t have to pay extra charges when the project is underway.

f. What happens when the contract is over?

Being concerned about the post-contract period is also necessary. Questions like “Will my site be in the upward trend after the project?”, “Will things go wrong after the project?” “What should I expect after this contract expires?”

This is where you can learn on small things to keep doing or to avoid si you reap from your investment in the long run.

4. Where can you find SEO service providers?

You can hire freelancers from platforms like Upwork and Fiverr, where you find people worldwide who offer different SEO services listed there. One way to find out the right man for the job is by looking at reviews from past clients. Also, looking out specifically for people on your niche should be a factor too.

Finding an agency isn’t difficult as a simple search on Google will lead to a list where you can start your digging to find the one that suits you in all sense.

Some of the well-known agencies are:

  • Webfx
  • Ignite Visibility
  • Straight North
  • SocialSEO
  • Super Star SEO and many more.

For a list of top SEOs agencies, you can go here. You might also want to use a local SEO service in your country, which may come with its advantages – Google has also got you covered.

Conclusion

In this time, you shouldn’t be in haste, as hiring a low SEO service provider can result in very harsh consequences. So, make sure to take your time.

You can also do more than talk to an agency you want to hire; you can perform an underground check to ensure their expertise. No right service provider goes unnoticed – something somewhere must have been saying about their services.

Lastly, getting yourself a braced with SEO basics is necessary as everything can make sense even if you can’t do them yourself.

We are an Instructor's, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

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How do collect and train data for speech projects?

Data collection is the process of gathering, analyzing, and, measuring accurate data from diverse systems to use for business process decision-making, speech projects, and research.

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How do collect and train data for speech projects

With technology evolution, we are moving towards machine learning systems that can understand what we say. In our daily lives, we all have encountered many virtual assistants like Alexa, Siri, and others. These virtual assistants often help us in tuning the lights of our homes, finding information on the internet, and even starting a video conference. But do you know how it does that?

To produce results, these virtual assistants use natural language processing to understand the user’s intent. Natural Language Processing technology enables virtual assistants to understand user intent and produce outcomes. Basically, these virtual assistants are applications of automatic speech recognition and are also known as speech recognition software. This software uses machine learning and NLP to analyze and convert human speech data into text.

But, attaining maximum efficiency of these software requires the collection of substantial speech and audio datasets. The purpose of collecting these audio datasets is to have enough sample recordings that can be fed into automatic speech recognition (ASR) software.

Furthermore, these datasets can be used against the speakers using unspecified speech recognition models. And to make ASR software work as intended, speech data collection and audio datasets must be conducted for all target demographics, locations, languages, dialects, and accents.

Artificial Intelligence can be as intelligent as the data given to it. Hence, collecting data for feeding the machine learning model is a must to maximize the effect of ASR. Let’s discuss steps in speech data collection for effective automatic speech recognition training.

1. Create a Demographic Matrix

For creating a demographic matrix, the enterprise must consider the following information like language, locations, ages, genders, and accents. Along with these, it is a must to note down a variety of information related to environments like busy streets, waiting rooms, offices, and homes. Enterprises can also consider the devices people are using like mobile phones, headsets, and a desktop.

2. Collect and transcribe speech data

To train the speech recognition model, gather speech samples from real humans and take the help of a human transcriptionist to take notes of long and short utterances by following your key demographic matrix. In this way, human is a vital and essential part of building proper audio datasets and labeled speech and further development of applications.

6 Reasons to Transcribe Audio to Text

3. Build a separate test data

Once the text subscription is completed, it’s time to pair the transcribed test with the corresponding audio data and segment them to include one statement in each. Later on, take the segmented pairs and extract a random 20% of the data to form a set for testing.

4. Train the language model

To maximize the effectiveness of the speech recognition model, you can train the language model by adding general additional text that was not additionally recorded. For example in canceling a subscription, you recorded one statement that ‘I want to cancel my subscription, but you can also add texts like “Can I cancel my subscription” or “I want to unsubscribe”. To make it more effective and catchy you can also add expressions and relevant jargon.

5. Measure and Iterate

The last and important step is to evaluate the output of automatic speech recognition software to benchmark its performance. In the next step take the trained model and measure how well it predicts the test set. In case of any gaps and errors, engage your machine learning model in the loop to yield the desired output. 

Conclusion

From travel, transportation, media, and entertainment, the use of speech recognition software is evident. We all have been using voice assistants like Alexa and Siri to complete some of our routine tasks. To effectively use this speech recognition software requires proper training in the audio datasets and the use of relevant data for the machine learning model.

Proper execution and the right use of data make sure the speech recognition software going to work efficiently and enterprises can scale them for further upgrades and development. As data and speech recognition go hand in hand, make sure you are using data with the right approach.

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