Full-Time
Outbound Sales Development Representative
Confirmed live in the last 24 hours
dataplor
51-200 employees
Provides global POI and territory data
No salary listed
Entry, Junior
New York, NY, USA
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- Drive and Resilience: A self-starter with the ability to stay motivated and persevere in a high-volume outbound sales environment.
- Communication Skills: Excellent verbal and written communication skills, with the ability to craft compelling outreach messages and build rapport with prospects.
- Curiosity and Learning: A strong desire to understand dataplor’s technical products, target industries, and client use cases.
- Experience: 1+ years in an outbound sales or SDR role (preferred), including experience in cold calling and emailing. Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
- Adaptability: Thrives in a fast-paced, start-up, remote work environment, with a strong ability to manage time and prioritize effectively.
- Outbound Prospecting: Proactively identify and contact potential clients through cold calling, email campaigns, and LinkedIn outreach to generate interest in dataplor’s data solutions.
- Lead Qualification: Engage prospects in meaningful conversations to understand their business challenges, qualify leads, and determine fit for dataplor’s offerings.
- Pipeline Management: Maintain detailed records of outreach efforts, activities, and results in Salesforce or other CRM tools to ensure a robust pipeline of qualified leads.
- Collaboration: Work closely with AEs and the SDR Manager to optimize handoff processes, refine messaging, and improve outreach strategies.
- Market Research: Stay informed about industry trends, competitive landscapes, and target client segments to identify new opportunities for dataplor.
- Metrics-Driven Performance: Meet or exceed monthly and quarterly KPIs for outreach, meetings booked, and qualified evaluations generated.
- Familiarity with the geospatial, point-of-interest, or data-as-a-service industries.
- Experience selling data solutions or working in a SaaS startup environment.
- Experience with Clay for sales automation and prospecting is a plus.
Dataplor provides accurate Points of Interest (POI) and territory data on a global scale, catering to businesses, investors, and market analysts who need reliable data for decision-making. Their product enriches existing systems with real-time POI data, allowing clients to understand where their products are sold and to analyze the competitive landscape. Dataplor differentiates itself from competitors by offering advanced qualitative Key Performance Indicators (KPIs) and a rigorous Quality Control (QC) process that ensures data reliability. The company's goal is to support effective investment decisions and sustainable growth strategies by delivering actionable insights that help clients identify market trends and emerging opportunities.
Company Size
51-200
Company Stage
Series A
Total Funding
$17.1M
Headquarters
Manhattan Beach, California
Founded
2016
Simplify's Take
What believers are saying
- Partnership with Cytora enhances real-time location data for insurance risk assessment.
- Series A funding of $10.6M supports expansion of global location intelligence.
- Growing demand for global location intelligence aids competitive analysis and market opportunities.
What critics are saying
- Competition from established geospatial data providers like HERE Technologies and Esri.
- Rapid advancement of AI-driven data analytics tools by competitors like SafeGraph.
- Potential data privacy concerns and regulations, especially in the European Union.
What makes dataplor unique
- Dataplor offers advanced qualitative KPIs beyond traditional data metrics.
- The company provides real-time global POI data for competitive landscape mapping.
- Dataplor's industry-leading QC process ensures reliable data for accurate business forecasting.
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Benefits
Health Insurance
Flexible Work Hours
Remote Work Options
Professional Development Budget
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↑ 2%2 year growth
↓ -4%Cytora, the leading digital risk processing platform, has partnered with data intelligence platform dataplor. The integration will enable property insurance underwriters to instantly gain access to a vast repository of comprehensive location data via Cytora’s platform. This will enable underwriters to make faster and more accurate risk assessments. Dataplor’s intelligence is human-reviewed and covers over a quarter of a billion locations across 200 countries and territories. The data provided is also updated in near real-time, making it ideal for insurers seeking to respond to the increasingly dynamic and complex property insurance market. Insurers will be able to operationalize this data more broadly across their lines of business (including risk clearance, onboarding, and triage) and more effectively through their multi-step workflows from submission to quote
By Riley KaminerDo you ever walk by a restaurant or store in Miami and wonder, “what’s up with that place?” Maybe it’s a huge location that’s always empty or a hole in the wall that is always at max capacity.If, so you’re not the only one. In fact, this is a particularly big deal for businesses that want to gain market insights, including into their competitors.“Company 10-Ks are always six months late, so it’s hard to know if a company, for example, Starbucks, what their open or close rates are,” Dataplor founder and CEO Geoffrey Michener told TechCrunch. “Other companies also want to know if one of their competitors closed or what the other businesses around there [are] so they can see if they can put a location there. We are trying to empower their decision-making.”Boca Raton-based Dataplor has developed a platform to provide what it calls “global location intelligence” – insights into what business is happening where. And the scale is massive: they have location data covering more than 300 million point of interest records from 15,000 brands across 200 countries. Dataplor, which was founded in 2016, already has traction, having more than doubled revenue every year since 2020 on top of being profitable. To further accelerate this growth, Dataplor has raised a $10.6 million Series A. Spark Capital led the round alongside fellow participants Quest Venture Partners, Acronym Venture Capital, Circadian Ventures, Two Lanterns Venture Partners and APA Venture Partners
MANHATTAN BEACH, Calif.--(BUSINESS WIRE)--dataplor, the leading provider of global location intelligence, today announced a $10.6 million Series A funding round led by Spark Capital. This round, which included participation from Quest Venture Partners, Acronym Venture Capital, Circadian Ventures, Two Lanterns Venture Partners and APA Venture Partners, will further accelerate dataplor’s ongoing expansion, building the most accurate, comprehensive and dynamically updated database of global Point of Interest (POI) data on the market. Today, dataplor offers data coverage across more than 200 countries and territories, encompassing over 300 million locations and over 15,000 brands. Companies in industries including technology, mapping, search, third party logistics, consumer packaged goods (CPG), telecom, investing, real estate and finance rely on dataplor’s global, accurate coverage to power strategic decisions and investments. With this latest funding, dataplor is positioned to expand its worldwide coverage and continue building out its team. “Our mission at dataplor has always been about unlocking the true potential of POI data, making it accessible and actionable at a global scale,” said Geoff Michener, CEO and founder of dataplor
Now the company wants to grow even faster, so Dataplor raised $10.6 million in Series A funding led by Spark Capital.
dataplor Expands Data Set. Manhattan Beach-based a href="https://www.dataplor.com">dataplor, a provider of location-based data, says it has expanded its data to cover 100 countries and 150 million points of interest. The company--which said it started in 2017 to map local businesses in Mexico--says its goal is to provide accurate POI data in developing economies