Example Datasets we’ve Built for Our Clients
Introduction
Below are a few descriptions of datasets that we’ve built for our clients, categorized by dataset type, to give you an idea of what is possible with TPS data services.
We hope that these examples will help you think differently about what type of research on your target audience is possible to automate at scale and how to think approach list building.
Targeted Prospect Lists
Client Industry: Politics
Dataset Type: Targeted Prospect List
Dataset Name: Candidates for House of Representatives and Senate
Dataset Description: This was a complex requirement that utilized multiple stages of custom web-scraping, data formatting, custom code and AI. We first used the FEC website and their own database search parameters to plug in specific filters such as for all candidates for the House of Representatives and the Senate of a specific political party that our client was interested in reaching out to. We then did a custom web-scraping job of this list. Next, we programmatically pulled a specific unique link for each candidates profile on the website to obtain their State, total receipts and total disbursements. Next, the client needed each candidate’s email address. The candidates email addresses were not available on the FEC website nor did many candidates have Linkedin profiles, where we commonly find emails. We solved for this by using AI to first find each candidate’s main website. We then noticed that the email addresses of the candidates were nowhere to be seen on these websites and they had contact forms. Therefore, because we could not do a custom web-scraping job of each candidates website, we used a custom code on the backend for each site to pull out all email addresses associated with each domain. The client was very pleased with the results as they would have had to hire a full time worker to build this list and they would not have been able to obtain the email addressses as they were not readily available.
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Client Industry: PR & Strategic Communications
Dataset Type: Targeted Prospect List
Dataset Name: Health & Wellness Event Prospects
Dataset Description: A list of every professional in Northern Virginia and Washington DC that would be interested in attending a Health & Wellness Event. The list included all professionals with job titles in the health and wellness industry and followers of related social media groups. We also scraped Google Maps for related local businesses and then used AI to find the business owners of Spas, Yoga Studios and other wellness related businesses. The list included Personal Email addresses for email marketing and a 1:1 “personalization” copy sentence regarding the contact’s experience in the industry.
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Client Industry: Architecture Firm
Dataset Type: Targeted Prospect List
Dataset Name: Churches in MD
Dataset Description: The client had previous success selling their services to Churches. We put together a list of all Churches in several states and then found the right decision makers at these institutions for the client to reach out to. We ran a search to figure out if any of these Churches had renovations and when, as well as when the Church was built to mention those data points in their outreach.
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Client Industry: PR & Strategic Communications
Dataset Type: Targeted Prospect List
Dataset Name: Related Association Professionals
Dataset Description: The client required a list of all professionals of specific job titles that worked at related associations to their client association. We first did a custom web scraping job of an online list of all of the clients of their client association and then put together a dataset with all professionals working at these associations. The client wanted to know what each association’s mission was. So we used our AI systems to write a four sentence summary on each association in the list so our client could be more informed.
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Client Industry: Politics
Dataset Type: Targeted Prospect List
Dataset Name: Members of American Association of Political Consultants (AAPC)
Dataset Description: The client required a list of all professional members of AAPC. We first ran a search on AAPC’s website for all members. We then realized that AAPC uses an anti web-scraping captcha system. We were able to work our way around this system and put together a list of all member companies. Each member company had an associated link within the member list. We were able to create a code to programmatically scrape each link for multiple pieces of information such as their area of expertise, phone number, and email address.
Total Addressable Market Lists
Client Industry: Food & Beverage
Dataset Type: TAM List
Dataset Description: The client wanted to sell their product to all alcohol stores in Connecticut. We scraped Google maps to find all of these local businesses, and then used AI to find the business owners and their contact information. We scanned all of their websites to determine what type of other products the stores sold, and if a competitor was sold at that location.
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Client Industry: Interior Design
Dataset Type: TAM List
Dataset Name: Architects & Builders
Dataset Description: A list of all architects and builders in Maryland and Washington DC. The architects needed to be either self employed or 1-10 employees. The builders could be of any size. The client specializes in a “Universal Design” service, so we programmatically searched every company's website to see if this keyword was mentioned. We then divided the lists into separate groups for messaging purposes.
Sales Trigger Lists
Client Industry: Staffing and Recruiting
Dataset Type: Sales Triggers
Dataset Name: New Job Openings Analyzer
List Description: Every day we send the client all new job openings in their target market and audience. The job openings provided are of a very specific criteria. With the job openings, we provide the job description, salary (if mentioned), LinkedIn profile of the company hiring. We used AI to analyze each job opening to determine if the posting was made directly from the employer or from a staffing and recruiting firm. We separated the job postings into two separate tabs coordinating this. For the job postings made directly from companies, we found a contact of specific criteria for the client to reach out to. For both tabs, we provided specific data points on the companies and the job openings that our client required.
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Client Industry: B2B SAAS (Software as a Service)
Dataset Type: Sales Triggers
Dataset Description: Multiple Sales Triggers Private Access Website
List Description: The client was fascinated by custom sales triggers and their ability to give their sales team ongoing reasons to reach out to their prospects at the right time with the right message. We worked with the client to determine which sales triggers, and which data points with them, would be most valuable for their team. We ended up creating a custom private access website for their internal team that hosted several datasets of sales triggers that we custom created for their team. We created a new job changes analyzer, new job openings analyzer, a specific keyword news aggregator and summarizer. With the sales triggers we used AI to figure out additional data points such as the pricing model of the prospect company, their price offerings (if shown on their website), who the prospect company sells to, what they sell and referencing any case studies on the prospect’s website, if they have any.
Data Enrichment Lists
Client Industry: Hospitality
Dataset Type: Data Enrichment
Dataset Name: Hospitality Enrichment
Dataset Description: We were provided a list of 200k+ contacts to enrich for key data points for the company to perform their own multi-channel outreach initiatives. We first found as many social media profiles for the provided contacts and companies as possible for the client to initiate multi-channel outreach. We found key data points for each company such as who their competitors might be, and if the company was B2B or B2C. We then scored the contacts and companies based on specified criteria for the client to send separate messaging campaigns to.
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Client Industry: B2B SAAS (Software as a Service)
Dataset Type: Data Enrichment
Dataset Name: CRM Enrichment
Dataset Description: The client provided us with all of the companies and contacts in their entire CRM that were missing key contact information data points and website domains. We then enriched the lists for contact information. The client targets venture capital firms. We then used AI to determine for the prospects in their CRM at least one company that the VC firm invested into, and the key details about that investment, to use in messaging outreach.
