Data Cleansing Tips for Lead Optimization

Looking for a qualified lead is just like finding a needle on a pile of haystack. The chances of getting the right are one in a million. Looking at the point value will sometimes make it hazy to point out what is really important in the set of data. Lead generation firm are finding the best solution to reduce the noise of irrelevant data in their database. The company takes no consideration of information at all at any given time. Now, data miners are actually planning to reduce this data specification by cleansing the data noise.

Data cleansing is just like scrubbing off unnecessary data in your database. Doing so will optimize the chance of inquiring and jumping into incorrect information about your client. This is actually critical same critically as operating with a contaminated hands. Impurities may come harm your bodily system then what, you can go sick. In the sense of data scrubbing or cleansing, there is consideration that have to be taken out before you can go and dump a certain data. This process requires full attention from your data specialist and not only that it also takes some verification from a third-party before deleting those information.

  1. Data auditing– as I mention. It require third-party application in which it will check for anomalies and contradiction of your data along in your database.
  2. Workflow specification- after detecting those anomalies in your database. A set of code will be generated to remove these set of anomalies.
  3. Workflow execution– after specification, another set of command will let the user choose between deleting the anomaly or move it to another command that may best work for it.
  4. Post processing and controlling– while doing all the work and stuffs. This stage actually evaluate if all anomalies are bound corrected (another verification) and new cycle in the data-cleansing process where the data is audited again to allow the specification of an additional workflow to further cleanse the data by automatic processing.

Following the steps taken in data cleansing will sure do the task for improving your lead generation.

Amplifying Data and Expansion of Email Interaction Tip #3

The last step I can give out in terms of expediting your email marketing. Now that you have set the volume of relevancy of your email according to your consumer, you can now formulate the type of email. Take consideration in putting some money on your dedicated IP address. This would actually increase validity for your email.

Marketing emails

Marketing emails have high chances of being tagged as spam and will be automatically goes into the junk mail. This will lead your email being unread or worst ‘unopened’. In today emailing system, the obvious form of spam can be automatically detected by superior emailing address. In this area of innovation, one must not consider to exert effort on blasting marketing email. In the end, it does not give so much ROI.

Transactional emails

While the word said it’s so, transactional email is the opposite of marketing email. Transactional email has higher chance of readability and open rates.  Since transactional emails are actually based on the data prior to the behavior of your consumer. Its relevancy is high and once relevancy is high, open rates are high too. The best way to practice this is to send your email on a separate IP address for better monitoring, tracking delivery rates (failures) and troubleshooting without sacrificing your main email address.

Email Type

Further into details, in which your email type should be considered. One instance is how you follow-up a service retention email. Provided that you already know the outcome, you may send a special offer so to speak with.  Not only that, you also have to isolate customer service support mail.

The main goal for these blog is for you to deliver the best experience as possible for your consumer. It means directing your attention on consumer and much possible, making your emails to communicate directly to your consumers.

Amplifying Data and Expansion of Email Interaction Tip #2

Statistical Data and Attitude is another way in emailing strategy. Before anything else, in starting up in distribution of your email, you can begin with using the data wherein you can factor out the Statistical data of your prospects. This statistical data should include the following and then after you can follow up the pattern of action or attitude of your customer when it comes to using or buying your service.

Area-based

Specification of area or location is important for state-based or area-based promotions. This type of promotions requires the quality and necessity of the product based on the particular area. Funneling down the specific area can help you target the actual prospect that has a higher chance of buying your product. These includes offers as well which may in return needed in that place. The problem in this type of targeting is that it also includes the time. For example, Texas only needs more utility service during Fiestas and such, thus only have limited to offer such service. But given so, this targeting is effective overall.

Gender-based

Specification of gender is important for gender-based preference promotions. Referring to such change in nature of your data may require such changes as too when it come in changing the preference gender of your prospects. Say for example that your prospect today may not be the same gender after a year or even a month. Content email list also provides how your email will be effective against your prospect.

Age-based

Talking about the age does necessarily mean the young or old or mid-aged. It is a wide bracket that behaves differently in time. It starts with people aging from 18 years and above. The age-based targeting goes along with gender-based category. The two will determine the type of target of email lists.

Job title-based

This is vital when it comes in sending the proper email to your targeted clients. Imagine that you will be mistaken in sending an email of an employee member to a CEO member. That will sure eliminate the chance of you getting a prospect. Being appropriately accurate of the job title will dramatically increase of your chance of acquiring a lead.

Average purchase-based

This targeting is minimal. You only need to analyze the average usage of your current client in determining what and how you would blast an email to them.

Latest interaction-based

Determining the latest interaction can secure and persuade the consumer. This comes along with the use of what they did the last time and will  be follow up by a good offer through emailing.

Amplifying Data and Expansion of Email Interaction Tip #1

Internet of Things affects our aspect of life in many ways today one of them is email which contributes the best road to interact consumers with the business.  Together with the understanding of how we can communicate well to our consumers to disperse the product and services is crucial in the profit of our business.

There are a lot samples in sending your email. Whether if it is a newsletter, promotion, special offer, follow-up, confirmation and others sprinkling your email across too many consumers is really inappropriateand just a ways of energy. In the same sense, you must not see your consumer in a single face.

ROI can be achieved if you can segregate the email you are about to send so that it will be relatable and significant towards your consumer. The secret is to see what is in your available data and use them to identify your consumer so that you can write an appropriate email and persuade them to take actions against your message.

Below is the first tip out of three to be listed on how you can start amplifying your data and expand your email interaction.

Diagnosing your Customer through Activity

Determine what type of costumer available in your database to form a design to spot them as a target.

  • Recurrent client– in your database, identify customer that has recurring activity such purchase, access of account or data usage in a given time. This type of customer have constant channel within your business, treating them with high priority must be done to ensure they will keep on involving and share information about your business. Try sending some special offers and discount as a perk. Sending email to them frequently with about 4 times a week can boost their motivation to stay as your customer.
  • Novice client– the newbie or so what they call. These types of customers are more likely to withdraw if wrong action was done. Chances of withdrawal are very high due to customers may find your emails annoying and inappropriate for them. Sending the right email such suggestion or tips about your product are the best. Don’t try to persuade them immediately by buying special offers but make them stay and eventually turn them into a recurring customer then.
  • Free Trial user- these are not official clients unless being converted to a paying costumer. These types of users are into free subscription (if product is software) and you must remember that investing some money on them is not profitable. Center the idea on how you can get them started paying your product.
  • Dormant user–  these are what we call dead yet still can be retained customer. It also includes that trial user that didn’t pursue in going with your business. Ignoring them may have been on your list but try to realize that they were into your business once. Try to send some surveys for you to know how you can improve your service or product as well.

Hiring a Data Shaman for Potential Leads

Imagine the data you have on your database is like a single spirit. Locating a particular data in a pool of a million data is more likely summoning a spirit in the afterlife. Although database automation has been tragically popular in the past decades, company still hires database specialist to navigate their way through this sea of data.

Speaking of which, the data has to be so specific in description. Company may have to consider hiring a Data Shaman along the way. Data Shaman as the word describes, the one who manage, navigate and most specially has the instinct to locate a particular data among data.

For a B2B marketing company which is dependent on a very specific series of data (mandated by the clients) must or need to hire a data shaman. One would normally ask why so, because although database specialists are present, they don’t or at least so do not make any consideration about the situation, documentation and nature of the data. They are like search engine that only find the data but not the importance of having that data.

Data Shaman on the other hand is an exception. They make use of metadata, documentation and nature of the data. They would look at the situation of the business in a very specific way and once done, they would usually use their instinct to decide whether that data is good or not.

Examples are prospects A, B, C, and D, are candidates in buying a service during Wednesday however since the data shaman will look into the history if A, B, C, and D are constantly buying a product during in a month row. That decision will help business owners to have a promotion during Wednesday only or Wednesday in a full month.

In this line, having a data shaman is ideally essential in decision-making. So for B2B marketing operators actually out in starting your organic database, data shaman will then second on your list.

Quality Audience Data and its Origin


One trend in database management in B2B marketing and lead generation come the quality of data being gathered and used in the business. Database manager’s most common problem is how will they look and find a quality target in their database. Often they would come up with the idea of prioritizing quality leads in order to have a good number as results.

In the article 5 ways to evaluate the quality of audience data, wherein the procedure from the writer are briefly discussed in order to have a comprehensive understanding how quality audience are derive to produce. The key term buying audience are defined thoroughly such fetching the data from a original source up to the second and third party outlet herein. The critical understanding is that not all data area created equal thus implying that some data are just junk.

The framework of evaluating the quality audience data herein are summarized for you not get bored while reading it. There are rubric of evaluation as follows: source, mechanism, methodology, freshness, and price.

The source or the point of origin or in other words which one’s data came from. One must understand in order to know how much you will be getting. It starts from the first party or your own websites. The visitors are being saved and this is the most quality in all data being gathered upon. Next is the second party data or from someone else’s website you know that helps you gather more visitor. Lastly is the third party that usually comes from an unknown party or can hardly be verified. Third party data generally come from data management platforms.

Here and there you can choose from where your quality data will come from. Suggestion for the first party website is the best because of this, direct contact from the lead customer is much higher and the verification are less longer.

The second party in the moment is less quality but not because it does not come from you. Keep in mind that these data comes from another source in which the chance of having a quality data and lead are subjected to 50 percent reduction. Thus also the second party sources are already second hand and not raw. That means that the sources are much likely have been offered already by the first party from where it came from.

Lastly is the third party contributor on your data by which it aggregate and normalize audience data from a multitude of data providers, publishers, and other sources. Due to the opacity of most third-party data, it’s prudent not to automatically assume that it is of high quality or from a trusted source. Keep in mind that the freshness (or data age) is often unknown, and most third-party data providers rely on browser cookies as the underlying mechanism.

Stepping up in Lead Generation

It’s not new to us the multi-channel media has been a great asset in generating leads. It’s known too well by many B2B marketers around the globe and has been making a lot of innovation. The ground-breaking announcement of Facebook will lead B2B marketers to a whole new level again in looking for more alleys in lead generation. Last June 25, 2015 the biggest social media provider in the world announced that they will be promoting a lead ad unit.

This lead ad unit will make the user fill out some information such name and email address. This information as we know is vital in generating leads. The fill-out option will be submitted once the user agreed to send and receive notifications from the certain marketer or provider. But this lead ad unit still on the process of evaluation and improvements will come then after such period of time.

The action taken by the company to the user will not reflect Facebook nor will it have any obligations from any form of damages as such. The information generated from the lead ad unit will be only forwarded to the respective company and cannot be sold out to any third parties of the company. This is to protect the consumer’s proprietary information and their privacy as well. This lead ad unit will only help consumers from opening the third-party app and so to save their time as well.

On the other hand, issue will then arise in this situation. Since lead ad unit is still fresh. How will it solve the number of multiple Facebook account holder? Since we all know that an average user have 2-3 Facebook account, will it affect the quality of generating real leads for B2B marketers? How can we ensure that the data being gathered will not be redundant? Let just take some time in thinking and testing this newly added lead ad unit in the market.