Clever Digital Marketing Agency

Targeting To Get You Leads

What Would You Do With REAL Customer Data.

This is easily the best way to get real enquiries

Imagine someone doing a search engine, search for a key phrase or word that you want to be found for them all the information about the person their name, telephone number, email address, etc was gathered and hand it to you in an excel spreadsheet. What would you do?

Ideal for B2C Targeting

Access over 1.9 trillion searches per day across the US and build precision targeting for your business without spending thousands on advertising.

B2C Pack #1

Searches within the last 24 hours
$ 100
  • 1 x Key phrase
  • 1 x State
  • 250 Email Address
  • 250 Phone Numbers
  • 20 Data Points Per Contact

B2C Pack #2

Searches within the last 24 hours
$ 200
  • 1 x Key phrase
  • 1 x State
  • 500 Email Address
  • 500 Phone Numbers
  • 20 Data Points Per Contact
Popular

B2C Pack #3

Searches within the last 24 hours
$ 300
  • 1 x Key phrase
  • 1 x State
  • 750 Email Address
  • 750 Phone Numbers
  • 20 Data Points Per Contact

Ideal for B2B Targeting

Look at this slightly differently imagine getting all the data on a company that has been verified and registered using SIC codes

B2B Pack #1

Industry / Niche
$ 100
  • List of 500 Company
  • 1 x Industry / Niche
  • 1 x State
  • 33 x Datapoints
  • Up To 5 SIC / NAICS

B2B Pack #2

Industry / Niche
$ 200
  • List of 1000 Company
  • 1 x Industry / Niche
  • 1 x State
  • 33 x Datapoints
  • Up To 5 SIC / NAICS

B2B Pack #3

Industry / Niche
$ 300
  • List of 5000 Company
  • 1 x Industry / Niche
  • 1 x State
  • 33 x Datapoints
  • Up To 5 SIC / NAICS
Popular

How It Works

All website right garbage on how things actually work things like this “Our working process is designed to simplify complex tasks, optimize operations, and maximize productivity. From initial planning and ideation to execution”. When in reality what actually happens is Imagine someone doing a search engine, search for a key phrase or word that you want to be found for them all the information about the person their name, telephone number, email address, etc was gathered and hand it to you in an excel spreadsheet. 

All the data has been gathered through data mining and search engine cookies across the United States. When someone enters the search engine in which they accept all cookies. Then they go looking for a key phrase / keyword that device that which thereon is freely available. However please be aware that this information needs to be added to the DNC first before approaching.

The National Do Not Call Registry is a database maintained by the United States federal government, listing the telephone numbers of individuals and families who have requested that telemarketers not contact them. Certain callers are required by federal law to respect this request. Therefore please note that any information that we provide to you needs to be entered into the DNC to ensure that you cannot approach them. We do not take any responsibility of any information that we provide to you, as we have not entered this into the DNC. 

The best way to make sure you don’t call a number on the Do Not Call (DNC) list is to purchase a SAN, download the list, and use it to scrub numbers from your calling lists. The procedures should be similar for state DNC lists. The Federal Trade Commission (FTC) does offer a way to check up to three numbers to see if they are on the federal DNC list, but this tool is intended to be use for consumers to check if their own numbers are registered.

Bulk validation (also known as “batch validation” or “phone number list cleaning”) enables you to upload the contact phone database and clean up your list. 

We can recommend this website to check Bulk validation https://www.realvalidito.com/dnc-lookup/ (please note we do not have any affiliation with this organisation)

Consumer Data Data

Field
Description
Fill Rate
Consumer ID
How we link everyone together
100%
first_name
First name of the record
100%
personal_emails
Any personal emails (as defined by domain) attributed to this record, excluding any emails previously reported as invalid.
71%
additional_personal_emails
Any additional personal emails (as defined by domain) attributed to this record, excluding any emails previously reported as invalid. Stored as a comma-separated array.
19%
personal_address
Personal Address
97%
personal_address_2
Personal Address 2
15%
personal_city
Address city – This is representative of a personal address for the contact
100%
personal_state
Address state code (2 letter abbreviation).
100%
personal_zip
5 digit Zip Code
100%
personal_zip4
Plus 4 of contact ZIP
97%
mobile_phone
Mobile number uniquely associated with person, regardless of business or personal association and is also confirm wireless against the FCC portability data
45%
personal_phone
The non-mobile, non business related telephone number of the contact. A personal phone number
44%
gender
Gender of contact (M/F/U)
98%
married
Determination if the contact is married (Y). A blank value should be treated as unknown
30%
children
Are children associated with record? Y/N/Null
40%
income_range
Income range mapping.
58%
net_worth
Estimate of a households total financial assets minus liabilities. Assets include financial holdings such as deposit accounts, investments, and home value. Liabilities include loans, mortgages, and credit card debt.
50%
homeowner
Probabilistic and deterministic data set to capture home ownership (Yes/Probable). A blank value should be treated as unknown
58%
personal_emails_validation_status
The validation status of the associated personal email
71%
personal_emails_last_seen
The date (unix) by when an email was last seen as contributed via validation or other verifiable data. null values mean that no data is available
71%

Business Data

Field
Description
Fill Rate
business_email
Any business email attributed to this record, excluding any previous emails reported as being invalid. Any domain not included in the domain list for personal emails should be considered a business email.
75%
programmatic_business_emails
This feature is an array of all common business email formats, built from the first_name, last_name, and company_domain fields in the B2B and other files.
83%
job_title
The most common current job title attributed to this record
92%
seniority_level
Seniority derived from the job title using the Seniority Clustering / Department mapping model
92%
department
Department derived from the job title using the Seniority Clustering / Department mapping model
75%
direct_number
The unique telephone number that is not mobile that is associated with the b2b email
37%
linkedin_url
LinkedIn URL for the individual
81%
professional_address
professional address – could be the same as personal, company or different depending on company structure
38%
professional_address2
professional address – could be the same as personal, company or different depending on company structure
11%
professional_city
professional city – could be the same as personal, company or different depending on company structure
38%
professional_state
Address state code (2 letter abbreviation)
38%
professional_zip
5 digit Zip Code
37%
professional_zip4
Plus 4 of contact ZIP
20%
company_name
Company name associated to the current job title
85%
company_domain
Domain of the company defined by Company Name. This can be derived from the current business email. If we do not have a company domain, extract it from the root of the b2b email.(may need to evaluate multiples based on personal email exclusion)
85%
company_phone
General phone number for the company – to a receptionist or default number.
74%
primary_industry
The most occurant industry in the array associated with the firmographic data
79%
company_sic
The 4 digit sic code(s) associated with the company
76%
company_naics
North American Industry Classification System, denoting the primary industry(s) the company is listed in. This field is a comma-separated array with up to 5 NAICS codes.
67%
company_address
Physical address of company headquarters
61%
company_address_2
Physical address of company headquarters
10%
company_city
City of company headquarters
68%
company_state
State code of company headquarters
67%
company_zip
Zip of company headquarters
61%
company_zip4
Plus 4 of company ZIP
7%
company_llinkedin_url
Corporate LinkedIn URL
80%
company_revenue
Revenue range associated with the company. This is derived from the employee count and mapped in accordance with the mapping linked here.
84%
company_employee_count
Employee count range associated with the company. This is defined by counting the records within the data set assocatiated with the company and mapping that count into the denoted range.
84%
business_email_validation_status
The validation status of the associated business email
39%
busines_email_last_seen
The date (unix) by when an email was last seen as contributed via validation or other verifiable data. null values mean that no data is available
39%
company_last_updated
This is the Unix timestamp of the last update for the company_name field in the B2B and Universal Person files. This field records when the contact record was last confirmed at the company. Note: companies may have multiple ‘company_last_updated’ values, reflecting the last updates across different employees.
57%
job_title_last_updated
This is the Unix timestamp of the last update for the job title.
57%
last_updated
The date (unix) by when a value within the record was last updated.
91%

Our work does the talking

So talk to us for the best results

Clever Marketing Agency is a multi-award winning performance marketing agency and Google Partner, with offices located in Belfast, Dublin, London, and New York.

Stats that speak volumes

DISCLAIMER: Your results will vary and depend on many factors, including but not limited to your background, experience, and work ethic. All business entails risk as well as massive and consistent effort and action.  Any income or earnings statements are estimates of income potential only, and there is no assurance that your earnings will match the figures we present.

Your reliance on the figures we present is at your own risk. Any income or earnings depicted are NOT to be interpreted as common, typical, expected, or normal for the average student or client. This particular result may be exceptional, and the variables that impact results are so numerous and sometimes uncontrollable that Clever Digital Marketing Agency Ltd, its subsidiaries, or its affiliates make no guarantees as to your income or earnings of any kind, at any time. Where specific income figures are used and attributed to an individual or business, those persons or businesses have earned that amount.

But, there is no assurance that your earnings or income will match those figures, or that you will make any money at all. If you rely upon our examples or figures, you do so at your own risk, and you accept all risks associated with your reliance. Any and all claims or representations as to income earnings made on our websites or in our materials or information are not to be considered average earnings. Testimonials are not representative. There can be no assurances that any prior successes, or past results, as to income earnings can be used as an indication of your future success or results. Monetary and income results are based on many factors.

We have no way of knowing how well you will do, as we do not know you, your background, your work ethic, or your business skills or practices. Therefore we do not guarantee or imply that you will win any incentives or prizes that may be offered, that you will make any income or earnings, that you will do well, or that you will make any money at all. If you rely upon our examples or figures, you do so at your own risk, and you accept all risks associated with your reliance. Real property businesses and earnings derived therefrom, have unknown risks involved and are not suitable for everyone. Making decisions based on any information presented in our programs, products, services, or on our website, should be done only with the knowledge that you could experience significant losses, or make no money at all. Only risk capital should be used.

All products and services of our company are for educational and informational purposes only. Use caution and seek the advice of qualified professionals. Check with your accountant, lawyer, or professional advisor, before acting on this or any information. Users of our programs, products, services, and website are advised to do their own due diligence when it comes to making business decisions. All information, programs, products, and services that have been provided should be independently verified by your own qualified professionals.

Our information, programs, products, and services should be carefully considered and evaluated before reaching a business decision, or whether to rely on them. All disclosures and disclaimers made herein, on our websites, or in any materials provided to you apply equally to any offers, prizes, or incentives that may be made by our company. You agree that our company is not responsible for the success or failure of your business decisions relating to any information presented by our company or our company programs, products, and/or services.