Why Lead Generation Surveys are the Best Practices For Any Business These Days?

What Are Lead Generation Surveys?

For modern businesses or companies hoping to expand their customer base or maximize their profits, lead generation has become an important aspect of creating product or service awareness. One effective way of doing this is by conducting lead generation surveys. In lead generation, companies or organizations take the initiative to find out who the most likely buyers of their products or services are, and to convince the buyers that they need their products.

In the online book industry, for instance, authors give free copies of their first book with an email subscription at the end and enticing information to readers to lure them into reading their next book. This is a type of lead generation. Online lead generation surveys can be conducted by email, or on websites. Survey emails are forwarded to email subscribers, with a survey form link. Surveys hosted on a website are strategically placed to target visitors to the website.

Lead Generation for Different Organizations

A company’s lead generation mode may depend on the type of business. Some businesses focus on customer acquisition when they think of lead generation. These are organizations like insurance companies. For them, a customer gained is a long-term investment. Other businesses focus on products in their lead generation. A seller of automobiles or a land seller may be more interested in gaining sales than lifetime clients.

Importance of Lead Generation

The online lead generation has gained momentum over the last few years as companies try to leverage for market dominance and to expand profits through a more active and informed way of marketing in a competitive online platform. This is why Lead Generation Surveys are an important marketing tool not only to reach but to identify the most likely customers.

The following 4 areas are discussed in detail below:

1. Why Lead Generation Surveys are the best practices for any business these days
2. 5 Ways to Make Lead Generation Surveys More Effective
3. Model Questions to Ensure That You Get the Most Out of Your Lead Generation Survey
4. Post-Survey Communication and Improvements

Why Lead Generation Surveys are the best practices for any business these days
They are affordable

Lead generation surveys are one of the cheapest ways to reach your existing or potential customers and inform them of the existence or improvements made to your product. This is because they can be made by email marketing or through a survey done on a website or by the use of questionnaires.

Help a business to focus on what matters

Lead generation surveys help a business find out what areas they need to concentrate on when marketing, and where they might be spending unnecessary money. For instance, a business might have spent a fortune on email marketing, only to realize that respondents to the surveys are mostly concerned with the bad customer service or that the competitors have better incentives or packaging.

Help to identify the target market

Lead generation surveys are a good way to identify the target market by seeing how many people of certain demographics are interested in a product or service by classifying respondents into different age-groups, locations, etcetera. Marketing can then be concentrating on adverts targeting that particular demographic.

Help in understanding competitors

While asking questions, you can learn how you compare to your competitors by asking questions like “which is your favorite product?” You can then find out what your competitors are doing right and where you need to make improvements.

Buyer conversion ratio

A business owner is able to find out why website visitors may not be converting to buyers. By comparing the ratio of repeat visitors to repeat customers, it is easy to gauge the effectiveness of the marketing done through the website.

Direct feedback

You can learn what you are doing right or wrong by asking what the customer would prefer or what needs improvement.

Know a product’s strong points

A business owner can learn the product’s or services’ strong points by asking what the consumers like about the product or service.

Know a product’s weak points

A business can learn why their product may not be very popular and hence take steps to improve on the product.

An easy choice for respondents

Surveys are free. The fact that it may cost only three to five minutes to answer the survey questions make it an easy decision for many existing and potential customers. It is important that the number of questions or time duration be known to the target person to avoid awkward “I wish I had ignored this” moments.

Surveys help to understand the demand level

Lead generation surveys are a great way to gauge the business’ potential by trying to understand the level of interest in the service or products, and the possible room for expansion.

Surveys as a marketing tool

A business can use lead generation surveys as a marketing tool by asking potential customers if they have heard or used their products. The business can also inquire if the customer is aware of the benefits and advantages of using that product (as compared to other products).

Significant Ways to Make Lead Generation Surveys More Effective

Addressing the core points

Ensure that your survey questionnaire addresses the core points you want to focus on. Some of these points could be: Did the visitors find what they were looking for on your site? Did they like the site? Do they have any suggestions about possible areas of improvements? Is browsing through the site an easy and fun experience for them?

Ask for views from respondents

In order to get the most out of lead generation surveys, give the respondents the freedom to come up with their own views or suggestions. In other words, avoid leading questions like: do you like our site? Most respondents will probably say yes, for politeness’ sake. But a question like “would you like to see some improvements in area A, B, or C?” gives room for more specific feedback.

Give assurance of confidentiality

Some respondents ignore surveys because they feel that their personal views or information may be used or exposed to others. It is necessary to give assurance that any such information or views will be treated with utmost confidentiality.

Make the survey easily accessible and visible

If the surveys are directly conducted on the website and not through emails, you should ensure that the survey button or message is easily seen by visitors. You may highlight some text at the top of the website or on one side of the page, as long as it is easily visible. Bold letters and bright colors help make the survey call more visible.

Emphasize on duration –the shorter the better

Some visitors or email recipients decide against surveys because they feel that it would take too much of their rime. Ensure that you mention the duration (say 5 minutes or 10 questions).

Give incentives

This is one of the most effective methods. Some business owners are giving incentives to encourage people to fill in survey questionnaires, because truthfully speaking, about 80% of people, including loyal customers, do not want to take the time to respond to surveys. But an offer like discounts or gift cards ensures that more people respond to the survey call. The more the respondents, the more accurate the survey results.

Use different methods or media

Diversification of survey methods. A business that relies on different methods is likely to attract a lot of respondents. Such methods are use of videos, physical forms for brick and mortar stores, website surveys, email forms, or social media surveys.

Model Questions to Ensure That You Get the Most Out of Your Lead Generation Survey

Many businesses or organizations conduct surveys, but do not get the feedback they require or the most honest feedback because they either ask leading or vague questions. Your survey questionnaire should be made up of information-seeking questions.

Here are model questions you would need to ask:

1. What can you tell us about yourself in a few words? (To find out the demographical data in order to classify respondents).

2. Have you used our products? Are you a regular buyer of our products? (To find out if you are dealing with a potential, existing or repeat customer).

3. How did you find this website or how did you subscribe to this email? Were you referred by a friend? (To find out the easiest and most effective method in getting new customers).

4. Are you a regular visitor to this website? (To find out the relationship between regular visitors and repeat customers).

5. In what areas would you like us to improve? (To find out the most prevalent areas of concern).

6. What other products out there do you think are similar to our products? (This is a tactful way to ask who your biggest competitors are).

7. What other products out there do you think are better than our products? (To find out who might be doing better than you in the market).

8. Would you recommend our products to a friend or family member? (If they have never bought the product, they might not recommend the product).

9. How do you range our products in order of too expensive, costly, average, affordable, and cheap? (To find out if pricing might be one of the problems you are facing).

10. How do you rate our customer service? Excellent, good, fair, bad, terrible. (To find out what customers think of your customer support and if that is one of the areas that need improvement).

Post-Survey Communication and Improvements

Having noted the areas of concern and making the necessary changes, it is important to inform the customers, both existing and future, of the changes you are making or have made based on the survey results. This is a great way to assure them that you as business owners listen and care about the customers and their preferences.

One way of doing this is through step by step feedback. For instance, if the survey highlighted some serious customer service concerns, it is necessary to gauge the performance of each customer service staff member by asking for feedback from customers for every issue handled by that department.

If the survey brought about the issue of major competitors, it is also necessary to do some research on those competitors. This would help identify their products, packaging, marketing strategies, etcetera. If the pricing was a major issue among survey respondents, the business owner should try to find out ways to reduce the product price and still remain profitable. Another way is by maintaining the current price but improve the product, or announce some incentives like regular bonuses for repeat buyers.

Conclusion

In a world of online marketing, online shopping, and companies building online platforms, lead generation, and lead generation surveys are becoming increasingly important. Potential shoppers or clients do not have to go knocking on doors or window shopping anymore. They can find what they need in the comfort of their homes by doing online purchasing.

It is therefore crucial that business owners go the extra mile to not only find customers but to find out what they think about the business’ products. It is also crucial that they gauge consumer interest. A lead generation survey is always a great tool not only to gauge consumer interest but to get feedback on products and make changes where necessary. It is also a great way to gauge competitors’ influence, in order to stand out by ensuring that a business responds to customer needs in the best way possible.

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10 BIGGEST CHALLENGES IN DATA PROCESSING

At the present time, Data is the need of the world. You know, each day we are creating 2.5 quintillion bytes of data in the present era, and that’s huge.

If you are wondering how this much amount of data is generated? You visit the internet daily and search over the internet for the related stuff, listen to music, watch videos. Moreover, you use social media, upload photographs, share your thoughts and posts.

Even with each Tinder swipe, you are directing some data to the servers. With each Snapchat or Instagram upload, there is a whole lot of data. Your chats (on whichever platform they are) also contribute to making the data this much large.

But, do we do not need each and every data unit. We need the appropriate information only that is of our need. Data on its own is of no use. However, the data that is arranged in a meaningful manner turns into information and we need the information.

The process by which we convert the raw data into meaningful information is known as data processing.

DATA PROCESSING

It is an operation performed over data (raw facts ) to manipulate and convert the data into meaningful information.

Data processing involves 3 activities:

1- INPUT

In this process, the data that is collected is transformed into a form that the computer can understand.

It is the most important step because the output or the result depends completely on the data that is provided as the input.

The data input process involves the following set of activities:

collection: In this, we gather the raw data from various data sources and prepare it for the input process.

Encoding: In this process, we convert the collected data into a form that it becomes easier to put in a data processing system.

Transmission: In this stage, we send the input data to the various processors and carry it across various components.

Communication: A set of activities which allows the sending of data from one data processing system to another.

2- PROCESS

It is the process of transforming raw data into information by performing some actual data manipulation techniques.

The techniques that we use in the process stage are as follows:

Classification: In this stage, we classify the data into different groups and subgroups so that it is easier to handle the data.

Storing: In the storage technique, we store the data in an arranged order so that we can access the data quickly whenever we need it.

Calculation: We apply this technique to the numeric data to calculate the required output from the raw figures.

3- OUTPUT

The information that we get as a result of the data processing is the output. We can present the output information in a visual form and can take further actions or make some decision on the basis of the output.

CHALLENGES IN DATA PROCESSING

Until now we understand the difference between the data and the information. Moreover, we came to know how data processing works.

But, it is not as simple as it appears. There are several challenges that come while processing the data. Let me put some light on the key challenges that appear while processing the data.

1- COLLECTION OF DATA


 

The very first challenge in data processing comes in the collection or acquisition of the correct data for the input. We have the following data sources from which we can acquire data:

1. Administrative data sources

2. Mobile and website data

3. Social media

4. Tech. support calls

5. Statistical surveys

6. Census

Purchasing data from third parties

There are many more, sometimes, the data collection agent walks door to door to collect the data that we need.

The challenge here is to collect the exact data to get the proper result. As the result directly depends on the input data. Hence, it is vital to collect the correct and exact data to get the desired result.

SOLUTION

Choosing the right data collection technique can help to overcome this challenge. Below are the 4 different data collection techniques:

Observation: Making direct observation is a quick and effective way to collect simple data with minimal intrusion.

Questionnaire: Survey can be carried out to every corner of the globe and with this, the researcher can structure and precisely formulate the data collection plan.

Interview: is the most suitable technique to interpret and understand the respondents.

Focus group session: The presence of several relevant people simultaneously debating on the topic gives the researcher a chance to view both sides of the coin and build a balanced perspective.

2- DUPLICACY OF DATA

As the data is collected from different data sources, then many times it happens that there is duplicacy in data. The same entries and entities may present a number of times during the data encoding stage. This duplicate data is redundant and may produce an incorrect result.

Hence, we need to check the data for duplicacy and proactively remove the duplicate data.

SOLUTION

Data deduplication is adapted to reduce the cost and free the storage space. Deduplication technology of data identifies the identical data blocks and eliminates the redundant data.

This technique significantly reduces the size of disk usage and also reduces the disk IO traffic. Hence, it enhances the processing performance and helps in achieving precise and high accuracy data.

3- INCONSISTENCY OF DATA

When we collect a huge amount of data and there is no guarantee that the data would be complete or all the fields that we need are filled correctly. Moreover, the data may be ambiguous.

As the input/raw data is heterogeneous in nature and is collected from autonomous data sources, the data may conflict with each other in three different levels:

Schema Level: Different data sources have different data models and different schemas within the same data model.

Data representation level: Data in different sources are represented in different structures, languages, and measurements.

Data value level: Sometimes, the same data objects have factual discrepancies among various data sources. This occurs when we obtain two data objects from different sources and they are identified as versions of each other. But, the value corresponding to their attributes differ.

SOLUTION

In this situation, we need to check for the completeness of the data. Also, we have to see the dependency and importance of the field (inconsistent field) to the desired result. furthermore, we need to proactively figure out bugs to ensure the consistency in the database.

4- VARIETY OF DATA

The input data, as it is collected from different sources, can contain different forms. The rows and columns of a relational database don’t limit the data. The data varies from application to application and source to source. Much of these data is unstructured and cannot fit into a spreadsheet or a relational database.

There may be that the collected data is in text or tabular format. On the other hand, it may be a collection of photographs and videos and sometimes maybe just audio.

Sometimes to get the desired result, there is a need to process different forms of data altogether.

SOLUTION

There are different techniques for resolving and managing data variety, some of them are as follows:

Indexing: Different and incompatible data types can be related together with the indexing technique.

Data profiling: This technique helps in identifying the abnormalities and interrelationship between the different data sources.

Metadata: Meta description of data and its management helps in achieving contextual consistency in the data.

Universal format conversion: In this technique, we can convert the collected data into a universally accepted format such as Extensible markup language (XML).

5- DATA INTEGRATION

Data integration means to combine the data from various sources and present it in a unified view.

With the increased variety of data and different formats of data, the challenge to integrate the data enlarges.

The data integration consists of various challenges that are as follows:

Isolation: Majority of the applications are developed and deployed in isolation which makes it difficult to integrate the data across various applications.

Technological Advancements: With the advancement in the technology, the ways to store and retrieve data changes. The problem here occurs with the integration of newer data to the legacy data.

Data Problems: The challenge in data integration rises when the data is incorrect, incomplete or is of the wrong format.

Then we have to figure the right approach to integrate the data so that the data remains consistent.

SOLUTION

There are mainly three techniques for integrating data:

Consolidation: It captures data from multiple sources and integrates it into a single persistent data store.

Federation: It gives a single virtual view of multiple data sources. When it fires a query it returns data from the most appropriate data source.

Propagation: Data propagation applications copies data from one source to another. Furthermore, it guarantees a two-way data exchange regardless of the type of data synchronization.

6- VOLUME AND STORAGE OF DATA

When processing big data, the volume of the data is considerably large. Big data consists of both structured and unstructured data. This includes the data available on the social networking sites, records of companies, data from surveillance sources, research and development data and much more. Here comes the challenge to store and manage this sheer volume of data. Also what amount of data is to present to the RAM so that the processing is faster and the resources utilization is smart.

Also, we need to back up the data to ensure the data protection from any sort of loss. The data loss could occur due to software or hardware loss, natural disaster or error made by humans.

Now, the data itself is huge in volume and we need to take the copy or backup of the data for safety. This increases the amount of stored data by up to 150% or even more.

SOLUTION

Below are the possible approaches that we may use to store a large amount of data:

Object storage: with this approach, it is easier to store very large sets of data.  It is a replacement of traditional tree-like file system.

Scale-out NAS: is capable of scaling the capacity of the storage. It usually has its own distributed or clustered file system.

Distributed nodes: most often the low-cost commodity implements this. It attaches directly to the computer server or even server memory.

7- POOR DESCRIPTION AND META DATA

One of the major sources of the input data is the data that are stored over the time in a relational database. But this data is not properly formatted and there is no meta description of the storage, structure and the relation of the data entities with each other.

The scenario even becomes worse when the amount of data is large and the database itself links to other databases. Without a proper documentation of the database, it is quite difficult to extract the correct input data from the databases.

SOLUTION

1. De-normalize the database for querying purpose.

2. Use the stored procedure to allow complex data management task.

3. Using NoSQL database for storing data

8- MODIFICATION OF NETWORK DATA

The data is distributed and simultaneously related to each other in a complex structure. The challenge here is to modify the structure of the data or add some data in this.

The internet is a network that consists of a variety of data, a lot of applications and websites generate data that are all of different forms and characteristics. Schema interconnects all of them.

A schema is the definition of the indexes, packages, table/rows and meta-data of a database.

It is difficult to transport data if a database doesn’t handle Schema.

SOLUTION

Server Data Tools (SDT) includes a schema compare utility that we can use to compare two database definitions. The SDT can compare any combination of source and target databases.

Moreover, It also reports any discrepancies between schemas and detects mismatching data types and defaults of columns.

9- SECURITY

Security plays the most important role in the data field. Hacking the data might result in a leak. Hence, it may cost highly to the data processing firm. The hacker might even change or delete the data that we have acquired and processed after a lot of struggle.

The reasons for the security breach in a database are mainly due to these reasons:

1. Most of the data processing systems have a single level of protection.

2. No encryption of Either the raw data or the result/ output data.

3. Access of the data to unethical IT professional that risks in data loss.

SOLUTION

To ensure the security of the data we should follow the below-mentioned practices:

1. Do not connect to public networks.

2. Keep personal information safe and secure with a strong password.

3. Limit the access of humans to the data

4. Encrypt and back up the data

10- COST

Cost is the matter of consideration. When the amount of the data increases then the cost in each stage of the data processing increases gradually.

The cost of data processing depends on the following factors:

1. The type of the processing data

2. Turn around time to complete the processing of data and get the required result.

3. The accuracy of the data.

4. Workforce working on data processing.

SOLUTION

The stakeholders or the management looking into the data processing must consider the budget and the expenses. Compressing the data reduces its size and thus the data occupy less disk space. With a proper planning of the costs and expenses, the firm could earn well with the data processing.

CONCLUSION

To the conclusion of the article, the above-stated points are the biggest challenges that a data processing firm would face. Data processing will become more sophisticated once these challenges are hammered out. There is also a need for a highly skilled and motivated workforce to extract out the best result.

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