Every record carries both a business and a consumer email, so you can reach the same executive through work and personal inboxes. The file also includes B2C phone and wireless numbers, giving you true dual-channel, multi-touch targeting that a standard executive list cannot match.
B2B2C (Business-to-Business-to-Consumer) is a business model in which a company reaches end consumers through another business, partner, platform, distributor, franchise, or marketplace rather than selling directly to customers.
For example, a software provider may partner with retailers to serve consumers, a brand may sell products through online marketplaces, or a financial services company may work with banks and merchants to reach end users. In each case, businesses rely on intermediary channels to acquire customers and generate revenue.
A B2B2C executive is a decision-maker responsible for building, managing, and optimizing these intermediary channels. These leaders oversee the partnerships, distribution networks, franchise systems, marketplaces, and indirect sales strategies that connect businesses with consumers.
Standard databases were not built to surface the leaders who scale businesses through partners. This one is.
Most databases focus on traditional corporate roles. Gain direct access to channel leaders, franchise executives, marketplace managers, and indirect-sales professionals that are often difficult to identify and reach.
Target the professionals responsible for growing businesses through reseller networks, strategic alliances, franchise systems, and indirect sales channels.
Access decision-makers who design and manage the channels that move products and services from businesses to end consumers.
Reach the leaders accountable for generating revenue through distributors, resellers, affiliates, franchisees, and strategic business partners.
Traditional databases focus on two audiences: B2B corporate buyers and B2C consumers. B2B2C executives operate between these two worlds, managing the partner networks, franchise systems, marketplaces, and indirect sales channels that connect businesses with consumers. Because standard firmographic filters are not built to identify these specialized roles, they often go undiscovered. Our B2B2C Leadership Database was created specifically to make these decision-makers visible and accessible.
Stop losing partner-led deals to incomplete data. Get verified B2B2C executives mapped to the exact channels that drive your growth.
Standard B2B and B2C databases were built for direct-sale models. B2B2C data requires an entirely different segmentation logic, one that identifies executives who manage both upstream business relationships and downstream consumer impact simultaneously.
| Aspect | B2B Data | B2C Data | B2B2C Data |
|---|---|---|---|
| Focuses On | Companies buying from companies | Individuals buying products | Businesses reaching consumers through partners |
| Sales Model | Direct enterprise sales | Direct consumer sales | Partner-led and indirect sales |
| Key Audience | Corporate departments | End customers | Channel, franchise, marketplace, and partnership leaders |
| Growth Strategy | Acquire business customers | Acquire consumers | Expand through partners and distribution networks |
| Customer Path | Business → Business | Brand → Consumer | Business → Partner → Consumer |
| Primary Goal | Win corporate accounts | Increase consumer purchases | Scale consumer reach through intermediaries |
| Key Relationships | Buyer–Vendor | Brand–Consumer | Partner–Business–Consumer |
| Hidden Opportunity | Departmental budgets | Consumer demand | Partner ecosystems and indirect revenue channels |
| Typical Outreach | Enterprise sales campaigns | Consumer marketing campaigns | Channel, partnership, franchise, and marketplace engagement |
| Best For | SaaS, consulting, enterprise solutions | Retail, eCommerce, consumer brands | Platforms, franchisors, channel vendors, marketplaces, fintech, logistics |
| If You Need To… | B2B Data | B2C Data | B2B2C Data |
|---|---|---|---|
| Sell to a company | ✓ | ✗ | ✓ |
| Reach consumers directly | ✗ | ✓ | ✗ |
| Find channel partners | ✗ | ✗ | ✓ |
| Identify franchise operators | ✗ | ✗ | ✓ |
| Target marketplace leaders | ✗ | ✗ | ✓ |
| Expand through distributors | ✗ | ✗ | ✓ |
| Reach indirect-sales teams | Limited | ✗ | ✓ |
| Discover partner ecosystems | ✗ | ✗ | ✓ |
| Find revenue beyond direct sales | Limited | ✗ | ✓ |
| Scale through intermediaries | ✗ | ✗ | ✓ |
Your current B2B or B2C list cannot see channel, franchise, and marketplace leaders. Ours was built for exactly that.
8,081,042 verified contacts, segmented every way your go-to-market team needs. Switch between views to size your reach by seniority, department, industry, company size, revenue, and US state.
| # | Level | Records | % of Total |
|---|---|---|---|
| 1 | C-Level | 810,069 | 10.02% |
| 2 | V-Level | 137,742 | 1.70% |
| 3 | D-Level | 342,468 | 4.24% |
| 4 | M-Level | 1,026,659 | 12.70% |
| 5 | Staff | 1,023,650 | 12.67% |
| 6 | Others | 4,740,454 | 58.66% |
| Total | 8,081,042 | 100.00% |
| # | Department | Records | % of Total |
|---|---|---|---|
| 1 | Finance | 927,594 | 11.48% |
| 2 | Sub Level Management | 812,563 | 10.06% |
| 3 | Operation | 614,802 | 7.61% |
| 4 | Top Level Management | 581,271 | 7.19% |
| 5 | Medical | 473,565 | 5.86% |
| 6 | Education | 466,915 | 5.78% |
| 7 | Sales | 348,173 | 4.31% |
| 8 | IT | 261,890 | 3.24% |
| 9 | Legal | 231,284 | 2.86% |
| 10 | Arts & Entertainment | 170,263 | 2.11% |
| 11 | Customer Service | 164,793 | 2.04% |
| 12 | B&D | 161,237 | 2.00% |
| 13 | Marketing | 136,586 | 1.69% |
| 14 | Engineer | 127,935 | 1.58% |
| 15 | HR | 123,799 | 1.53% |
| 16 | Purchasing | 105,660 | 1.31% |
| 17 | Architect | 79,291 | 0.98% |
| 18 | R&D | 58,395 | 0.72% |
| 19 | Sales & Marketing | 12,680 | 0.16% |
| 20 | Others | 2,222,346 | 27.50% |
| Total | 8,081,042 | 100.00% |
Grouped by standard SIC industry divisions.
| Industry | Records | % of Total |
|---|---|---|
| Agriculture, Forestry, Fishing | 13,964 | 0.17% |
| Mining | 78,934 | 0.98% |
| Construction | 127,425 | 1.58% |
| Manufacturing | 472,692 | 5.85% |
| Transportation & Public Utilities | 249,001 | 3.08% |
| Wholesale Trade | 53,998 | 0.67% |
| Retail Trade | 569,262 | 7.04% |
| Finance, Insurance, Real Estate | 451,716 | 5.59% |
| Services | 1,574,385 | 19.48% |
| Public Administration | 317,618 | 3.93% |
| Unclassified | 4,172,047 | 51.63% |
| Total | 8,081,042 | 100.00% |
| # | Employee Range | Records | % of Total |
|---|---|---|---|
| 1 | 1-10 | 2,948,989 | 36.49% |
| 2 | 11-25 | 745,599 | 9.23% |
| 3 | 26-50 | 320,100 | 3.96% |
| 4 | 51-100 | 272,136 | 3.37% |
| 5 | 101-500 | 261,589 | 3.24% |
| 6 | 501-1000 | 44,866 | 0.56% |
| 7 | 1001-5000 | 50,045 | 0.62% |
| 8 | 5001-10000 | 5,255 | 0.07% |
| 9 | 10001+ | 2,236 | 0.03% |
| 10 | Unclassified | 3,430,227 | 42.45% |
| Total | 8,081,042 | 100.00% |
| # | Revenue Range | Records | % of Total |
|---|---|---|---|
| 1 | <$1Mil | 2,605,090 | 32.24% |
| 2 | $1M – $10M | 348,224 | 4.31% |
| 3 | $10M – $50M | 159,853 | 1.98% |
| 4 | $50M – $100M | 49,639 | 0.61% |
| 5 | $100M – $250M | 42,719 | 0.53% |
| 6 | $250M – $500M | 24,665 | 0.31% |
| 7 | $500M – $1B | 18,705 | 0.23% |
| 8 | $1B – $5B | 15,919 | 0.20% |
| 9 | $5B – $10B | 3,710 | 0.05% |
| 10 | >$10B | 7,051 | 0.09% |
| 11 | Unclassified | 4,805,467 | 59.47% |
| Total | 8,081,042 | 100.00% |
| # | State | Records | % of Total |
|---|---|---|---|
| 1 | Alabama | 120,598 | 1.49% |
| 2 | Alaska | 5,078 | 0.06% |
| 3 | Arizona | 165,070 | 2.04% |
| 4 | Arkansas | 83,327 | 1.03% |
| 5 | California | 928,241 | 11.49% |
| 6 | Colorado | 136,615 | 1.69% |
| 7 | Connecticut | 77,757 | 0.96% |
| 8 | Delaware | 17,727 | 0.22% |
| 9 | District of Columbia | 11,486 | 0.14% |
| 10 | Florida | 626,226 | 7.75% |
| 11 | Georgia | 329,036 | 4.07% |
| 12 | Hawaii | 11,114 | 0.14% |
| 13 | Idaho | 34,309 | 0.42% |
| 14 | Illinois | 287,269 | 3.55% |
| 15 | Indiana | 169,261 | 2.09% |
| 16 | Iowa | 52,371 | 0.65% |
| 17 | Kansas | 71,288 | 0.88% |
| 18 | Kentucky | 110,291 | 1.36% |
| 19 | Louisiana | 107,026 | 1.32% |
| 20 | Maine | 41,288 | 0.51% |
| 21 | Maryland | 155,264 | 1.92% |
| 22 | Massachusetts | 172,262 | 2.13% |
| 23 | Michigan | 194,772 | 2.41% |
| 24 | Minnesota | 108,116 | 1.34% |
| 25 | Mississippi | 70,624 | 0.87% |
| 26 | Missouri | 141,912 | 1.76% |
| 27 | Montana | 23,544 | 0.29% |
| 28 | Nebraska | 33,202 | 0.41% |
| 29 | Nevada | 58,915 | 0.73% |
| 30 | New Hampshire | 45,018 | 0.56% |
| 31 | New Jersey | 244,889 | 3.03% |
| 32 | New Mexico | 41,171 | 0.51% |
| 33 | New York | 486,196 | 6.02% |
| 34 | North Carolina | 250,517 | 3.10% |
| 35 | North Dakota | 16,814 | 0.21% |
| 36 | Ohio | 263,334 | 3.26% |
| 37 | Oklahoma | 83,006 | 1.03% |
| 38 | Oregon | 72,348 | 0.90% |
| 39 | Pennsylvania | 344,626 | 4.26% |
| 40 | Rhode Island | 22,070 | 0.27% |
| 41 | South Carolina | 134,554 | 1.67% |
| 42 | South Dakota | 12,741 | 0.16% |
| 43 | Tennessee | 197,892 | 2.45% |
| 44 | Texas | 917,777 | 11.36% |
| 45 | Utah | 70,606 | 0.87% |
| 46 | Vermont | 10,028 | 0.12% |
| 47 | Virginia | 213,066 | 2.64% |
| 48 | Washington | 160,460 | 1.99% |
| 49 | West Virginia | 28,108 | 0.35% |
| 50 | Wisconsin | 111,620 | 1.38% |
| 51 | Wyoming | 10,210 | 0.13% |
| Total | 8,081,042 | 100.00% |
This datacard carries 254 fields per record, combining business firmographics with deep consumer enrichment for dual-channel targeting.
Name, title, department, company, industry, employees, revenue, location, B2B email, B2C email, phone, and LinkedIn.
Address, income, household and children, age, marital status, occupation, education, credit and net worth, investments, lifestyle and hobbies, charitable donations, sports and outdoors, health, automotive, and home and mortgage.
XLS, Text, CSV, or TSV, ready for import into your CRM or outreach platform.
Email marketing, tele marketing, and direct mail, so the same list supports every outbound channel.
Compiled and double verified from web sources, trade shows, surveys, public filings, government listings, NCOA, ECOA, and vetted data partners.
| # | Field Name | Records | % |
|---|---|---|---|
| 1 | Company Name | 8,081,042 | 100.00% |
| 2 | Web Address | 3,891,618 | 48.16% |
| 3 | Prefix | 6,504,002 | 80.48% |
| 4 | Contact Name | 8,081,042 | 100.00% |
| 5 | Title | 8,080,917 | 100.00% |
| 6 | Department | 8,081,042 | 100.00% |
| 7 | Title Level | 8,081,042 | 100.00% |
| 8 | Location | 8,081,042 | 100.00% |
| 9 | Location_City | 8,057,583 | 99.71% |
| 10 | Location_State | 8,081,042 | 100.00% |
| 11 | Location_StateCode | 8,081,042 | 100.00% |
| 12 | Location_Country | 8,081,042 | 100.00% |
| 13 | LinkedinUrl | 8,081,042 | 100.00% |
| 14 | Address1 | 4,617,056 | 57.13% |
| 15 | Address2 | 30,310 | 0.38% |
| 16 | City | 4,660,070 | 57.67% |
| 17 | State | 4,656,392 | 57.62% |
| 18 | Zipcode | 4,660,500 | 57.67% |
| 19 | Phone Number | 3,040,329 | 37.62% |
| 20 | Country | 8,081,042 | 100.00% |
| 21 | SIC Code | 3,908,995 | 48.37% |
| 22 | Industry | 3,908,995 | 48.37% |
| 23 | Employees_Range | 4,650,815 | 57.55% |
| 24 | Revenue_Range | 3,275,575 | 40.53% |
| 25 | B2B Email | 2,041,401 | 25.26% |
| 26 | B2C Email | 8,081,042 | 100.00% |
| 27 | B2C Phone AreaCode | 3,719,997 | 46.03% |
| 28 | B2C Phone Number | 3,719,997 | 46.03% |
| 29 | B2C WirelessPhone | 956,638 | 11.84% |
| # | Field Name | Records | % |
|---|---|---|---|
| 1 | Primary Address | 5,135,692 | 63.55% |
| 2 | Secondary Address | 626,732 | 7.76% |
| 3 | State | 5,135,692 | 63.55% |
| 4 | Zip Code | 5,135,692 | 63.55% |
| 5 | City Name | 5,135,692 | 63.55% |
| 6 | Dwelling Type | 4,942,186 | 61.16% |
| 7 | Secondary Address Present | 5,135,692 | 63.55% |
| 8 | Estimated Income Code | 5,013,604 | 62.04% |
| 9 | Length Of Residence | 5,135,692 | 63.55% |
| 10 | Number Of Persons In Living Unit | 5,135,692 | 63.55% |
| 11 | Presence Of Children | 2,688,389 | 33.27% |
| 12 | Number Of Children | 2,898,369 | 35.87% |
| 13 | Person Date Of Birth Year | 5,135,692 | 63.55% |
| 14 | Person Date Of Birth Month | 5,135,692 | 63.55% |
| 15 | Person Date Of Birth Day | 5,135,692 | 63.55% |
| 16 | Person Marital Status | 4,423,137 | 54.73% |
| 17 | Person Occupation | 5,135,692 | 63.55% |
| 18 | Language Code | 5,135,692 | 63.55% |
| 19 | Ethnic Group | 5,135,692 | 63.55% |
| 20 | Hispanic Country Code | 5,071,314 | 62.76% |
| 21 | Person Education | 2,953,572 | 36.55% |
| 22 | Presence Of Gold Or Platinum Credit Card | 694,189 | 8.59% |
| 23 | Presence Of Premium Credit Card | 627,361 | 7.76% |
| 24 | Presence Of Upscale Retail Card | 1,070,735 | 13.25% |
| 25 | American Express Card | 295,505 | 3.66% |
| 26 | Credit Rating | 4,395,117 | 54.39% |
| 27 | Investment Stock Securities | 278,713 | 3.45% |
| 28 | Net Worth | 4,365,587 | 54.02% |
| 29 | Credit – Range Of New Credit | 874,713 | 10.82% |
| 30 | American Express Gold Premium | 63,710 | 0.79% |
| 31 | Discover Gold Premium | 89,676 | 1.11% |
| 32 | Discover Regular | 220,075 | 2.72% |
| 33 | Gasoline Or Retail Card Gold Premium | 162,638 | 2.01% |
| 34 | Mastercard Gold Premium | 322,069 | 3.99% |
| 35 | Mastercard Regular | 574,702 | 7.11% |
| 36 | Visa Gold Premium | 573,622 | 7.10% |
| 37 | Visa Regular | 847,492 | 10.49% |
| 38 | Travel And Entertainment Card Holder | 257,352 | 3.18% |
| 39 | Credit Cardholder Unknown Type | 2,222,335 | 27.50% |
| 40 | Credit Card User | 2,471,033 | 30.58% |
| 41 | Credit Card New Issue | 163,765 | 2.03% |
| 42 | Investments Personal | 1,166,305 | 14.43% |
| 43 | Investments Real Estate | 194,053 | 2.40% |
| 44 | Investing Finance Grouping | 1,383,929 | 17.13% |
| 45 | Investments Foreign | 75,260 | 0.93% |
| 46 | Investment Estimated Residential Properties Owned | 148,872 | 1.84% |
| 47 | Opportunity Seekers | 209,516 | 2.59% |
| 48 | Automotive Buff | 837,423 | 10.36% |
| 49 | Book Reader | 2,122,999 | 26.27% |
| 50 | Computer Owner | 2,291,262 | 28.35% |
| 51 | Cooking Enthusiast | 1,887,226 | 23.35% |
| 52 | Exercise Enthusiast | 1,765,281 | 21.84% |
| 53 | Gardener | 1,187,278 | 14.69% |
| 54 | Golf Enthusiasts | 368,579 | 4.56% |
| 55 | Home Decorating Enthusiast | 1,852,617 | 22.93% |
| 56 | Outdoor Enthusiast | 1,296,160 | 16.04% |
| 57 | Outdoor Sports Lover | 1,537,922 | 19.03% |
| 58 | Photography | 301,185 | 3.73% |
| 59 | Traveler | 2,069,330 | 25.61% |
| 60 | Pets | 1,113,164 | 13.78% |
| 61 | Cats | 516,194 | 6.39% |
| 62 | Dogs | 778,563 | 9.63% |
| 63 | Religious Magazine | 638,221 | 7.90% |
| 64 | Book Buyer | 2,122,999 | 26.27% |
| 65 | Collect – Special Foods Buyer | 1,103,565 | 13.66% |
| 66 | Religious Contributor | 356,275 | 4.41% |
| 67 | Political Contributor | 1,247,079 | 15.43% |
| 68 | Health – Institution Contributor | 452,321 | 5.60% |
| 69 | Charitable | 1,494,500 | 18.49% |
| 70 | Donates To Environmental Causes | 282,425 | 3.49% |
| 71 | Donates By Mail | 52,046 | 0.64% |
| 72 | Veteran In Household | 123,442 | 1.53% |
| 73 | Smoker | 96,190 | 1.19% |
| 74 | Online Purchasing Indicator | 816,006 | 10.10% |
| 75 | Apparel Womens | 879,832 | 10.89% |
| 76 | Apparel Womens Petite | 27,101 | 0.34% |
| 77 | Apparel Womens Plus Sizes | 153,172 | 1.90% |
| 78 | Young Womens Apparel | 72,283 | 0.89% |
| 79 | Apparel Mens | 272,097 | 3.37% |
| 80 | Apparel Mens Big And Tall | 42,811 | 0.53% |
| 81 | Young Mens Apparel | 5,641 | 0.07% |
| 82 | Apparel Childrens | 113,573 | 1.41% |
| 83 | Health And Beauty | 542,336 | 6.71% |
| 84 | Beauty Cosmetics | 669,175 | 8.28% |
| 85 | Jewelry | 199,080 | 2.46% |
| 86 | Animal Welfare Charitable Donation | 284,572 | 3.52% |
| 87 | Arts Or Cultural Charitable Donation | 40,463 | 0.50% |
| 88 | Childrens Charitable Donation | 443,514 | 5.49% |
| 89 | International Aid Charitable Donation | 131,938 | 1.63% |
| 90 | Political Charitable Donation | 1,196,967 | 14.81% |
| 91 | Political Conservative Charitable Donation | 75,343 | 0.93% |
| 92 | Political Liberal Charitable Donation | 43,812 | 0.54% |
| 93 | Veterans Charitable Donation | 265,482 | 3.29% |
| 94 | Charitable Donations – Other | 241,193 | 2.98% |
| 95 | Community Charities | 904,300 | 11.19% |
| 96 | Parenting | 107,823 | 1.33% |
| 97 | Single Parent | 314,190 | 3.89% |
| 98 | Childrens Products General Back To School | 22,285 | 0.28% |
| 99 | Childrens Products General | 853,722 | 10.56% |
| 100 | Grandchildren | 273,646 | 3.39% |
| 101 | Christian Families | 350,482 | 4.34% |
| 102 | Equestrian | 40,677 | 0.50% |
| 103 | Career Improvement | 127,659 | 1.58% |
| 104 | Working Woman | 1,334,715 | 16.52% |
| 105 | African American Professionals | 5,303 | 0.07% |
| 106 | Reading Science Fiction | 134,875 | 1.67% |
| 107 | History Military | 94,599 | 1.17% |
| 108 | Current Affairs Politics | 581,216 | 7.19% |
| 109 | Religious Inspirational | 457,465 | 5.66% |
| 110 | Science Space | 58,222 | 0.72% |
| 111 | Education Online | 260,053 | 3.22% |
| 112 | Gaming | 15,247 | 0.19% |
| 113 | Electronics And Computing TV Video Movie Watcher | 17,280 | 0.21% |
| 114 | Electronics Computing And Home Office | 602,902 | 7.46% |
| 115 | Music Home Stereo | 25,704 | 0.32% |
| 116 | Music Player | 440,348 | 5.45% |
| 117 | Music Collector | 112,911 | 1.40% |
| 118 | Music Avid Listener | 660,389 | 8.17% |
| 119 | Movie Collector | 365,900 | 4.53% |
| 120 | Games Video Games | 57,702 | 0.71% |
| 121 | Games Computer Games | 44,395 | 0.55% |
| 122 | Consumer Electronics | 1,763,688 | 21.83% |
| 123 | Movie Music Grouping | 1,482,789 | 18.35% |
| 124 | Electronics Computers Grouping | 2,291,262 | 28.35% |
| 125 | Telecommunications | 2,277 | 0.03% |
| 126 | Arts And Antiques Art | 342,591 | 4.24% |
| 127 | Theater Performing Arts | 260,259 | 3.22% |
| 128 | Arts | 421,035 | 5.21% |
| 129 | Musical Instruments | 56,840 | 0.70% |
| 130 | Collectibles General | 763,280 | 9.45% |
| 131 | Collectibles Stamps | 76,617 | 0.95% |
| 132 | Collectibles Coins | 235,693 | 2.92% |
| 133 | Collectibles Arts | 69,748 | 0.86% |
| 134 | Collectibles Antiques | 400,454 | 4.96% |
| 135 | Collector Avid | 230,597 | 2.85% |
| 136 | Collectiblesand Antiques Grouping | 1,291,948 | 15.99% |
| 137 | Collectibles Sports Memorabilia | 170,281 | 2.11% |
| 138 | Military Memorabilia Weaponry | 17,780 | 0.22% |
| 139 | Lifestyles Interestsand Passions Collectibles | 260,430 | 3.22% |
| 140 | Auto Work | 833,986 | 10.32% |
| 141 | Sewing Knitting Needlework | 336,983 | 4.17% |
| 142 | Woodworking | 229,133 | 2.84% |
| 143 | Aviation | 27,692 | 0.34% |
| 144 | Crafts | 895,750 | 11.08% |
| 145 | Homeand Garden | 413,278 | 5.11% |
| 146 | Photography And Video Equipment | 18,617 | 0.23% |
| 147 | Home Furnishings Decorating | 1,802,848 | 22.31% |
| 148 | Food Wines | 246,707 | 3.05% |
| 149 | Foods Natural | 426,843 | 5.28% |
| 150 | Cooking Food Grouping | 1,686,369 | 20.87% |
| 151 | Games Board Games Puzzles | 12,900 | 0.16% |
| 152 | Gaming Casino | 206,619 | 2.56% |
| 153 | Travel Grouping | 2,069,330 | 25.61% |
| 154 | Travel Domestic | 1,381,327 | 17.09% |
| 155 | Travel International | 576,996 | 7.14% |
| 156 | Travel Cruise Vacations | 609,598 | 7.54% |
| 157 | Sporty Living | 169,196 | 2.09% |
| 158 | Cultural Artistic Living | 20,637 | 0.26% |
| 159 | Professional Living | 78,313 | 0.97% |
| 160 | Exercise Health Grouping | 1,765,281 | 21.84% |
| 161 | Exercise Running Jogging | 214,820 | 2.66% |
| 162 | Exercise Walking | 560,741 | 6.94% |
| 163 | Exercise Aerobic | 487,365 | 6.03% |
| 164 | Spectator Sports Auto Motorcycle Racing | 70,716 | 0.88% |
| 165 | Spectator Sports TV Sports | 277,806 | 3.44% |
| 166 | Spectator Sports Football | 811,068 | 10.04% |
| 167 | Spectator Sports Baseball | 570,995 | 7.07% |
| 168 | Spectator Sports Basketball | 558,478 | 6.91% |
| 169 | Spectator Sports Hockey | 203,636 | 2.52% |
| 170 | Spectator Sports Soccer | 5,378 | 0.07% |
| 171 | Tennis | 33,926 | 0.42% |
| 172 | Snow Skiing | 124,943 | 1.55% |
| 173 | Motorcycling | 271,134 | 3.36% |
| 174 | NASCAR | 368,302 | 4.56% |
| 175 | Boating Sailing | 121,684 | 1.51% |
| 176 | Scuba Diving | 12,668 | 0.16% |
| 177 | Sportsand Leisure | 541,099 | 6.70% |
| 178 | Hunting | 256,153 | 3.17% |
| 179 | Fishing | 511,515 | 6.33% |
| 180 | Camping Hiking | 453,949 | 5.62% |
| 181 | Hunting Shooting | 473,068 | 5.85% |
| 182 | Sports Grouping | 1,537,922 | 19.03% |
| 183 | Outdoors Grouping | 1,296,160 | 16.04% |
| 184 | Health Medical | 575,809 | 7.13% |
| 185 | Dieting Weight Loss | 774,079 | 9.58% |
| 186 | Self Improvement | 220,564 | 2.73% |
| 187 | Automotive Auto Parts And Accessories | 332,536 | 4.12% |
| 188 | Home Swimming Pool Indicator | 265,444 | 3.28% |
| 189 | Home Year Built | 5,135,692 | 63.55% |
| 190 | Estimated Current Home Value Code | 3,156,971 | 39.07% |
| 191 | Mortgage Amount In Thousands | 5,135,692 | 63.55% |
| 192 | Mortgage Amount In Thousands Code | 5,135,692 | 63.55% |
| 193 | Mortgage Lender Name | 1,615,024 | 19.99% |
| 194 | Mortgage Lender Name Available | 5,135,692 | 63.55% |
| 195 | Mortgage Rate | 18,284 | 0.23% |
| 196 | Mortgage Rate Type | 31,453 | 0.39% |
| 197 | Mortgage Loan Type | 1,606,637 | 19.88% |
| 198 | Deed Date Of Refinance Year | 5,135,692 | 63.55% |
| 199 | Deed Date Of Refinance Month | 5,135,692 | 63.55% |
| 200 | Deed Date Of Refinance Day | 5,135,692 | 63.55% |
| 201 | Refinance Amount In Thousands | 5,135,692 | 63.55% |
| 202 | Refinance Amount In Thousands Code | 5,135,692 | 63.55% |
| 203 | Refinance Lender Name | 1,856,429 | 22.97% |
| 204 | Refinance Lender Name Available | 5,135,692 | 63.55% |
| 205 | Refinance Rate Type | 1,695,971 | 20.99% |
| 206 | Refinance Loan Type | 1,868,034 | 23.12% |
| 207 | Census Median Home Value | 4,632,551 | 57.33% |
| 208 | Most Recent Mortgage Amount2nd | 2,675,707 | 33.11% |
| 209 | Purchase2nd Mortgage Amount | 2,808,405 | 34.75% |
| 210 | Most Recent Mortgage Date2nd | 456,432 | 5.65% |
| 211 | Purchase Mortgage Date | 1,569,169 | 19.42% |
| 212 | Most Recent Mortgage2nd Loan Type Code | 460,169 | 5.69% |
| 213 | Purchase2nd Mortgage Loan Type Code | 144,267 | 1.79% |
| 214 | Most Recent Lender Code | 2,808,405 | 34.75% |
| 215 | Most Recent2nd Lender Code | 2,808,405 | 34.75% |
| 216 | Purchase Lender Code | 2,808,405 | 34.75% |
| 217 | Most Recent Lender Name2nd | 461,120 | 5.71% |
| 218 | Most Recent Mortgage2nd Interest Rate Type | 409,341 | 5.07% |
| 219 | Most Recent Mortgage Interest Rate | 2,729,178 | 33.77% |
| 220 | Most Recent Mortgage2nd Interest Rate | 2,675,707 | 33.11% |
| 221 | Purchase2nd Mortgage Interest Rate | 2,808,405 | 34.75% |
| 222 | Pass Prospector Value Home Value Mortgage File | 2,808,405 | 34.75% |
| 223 | Do Not Call | 5,135,692 | 63.55% |
| 224 | IP | 3,798,430 | 47.00% |
| 225 | Date | 3,264,768 | 40.40% |
Request a free sample of 25 verified B2B2C executive records and check the column-fill quality before you commit.
From channel recruitment to ABM campaigns and market research, our list serves go-to-market teams that sell through or alongside intermediary business partners.
Tell us the play, channel recruitment, franchise expansion, or marketplace ABM, and we will scope the exact segment for you.
B2B2C models appear across a wide range of sectors. Our database covers the executives who manage these indirect channels in every major industry vertical.
Marketplace operators, omnichannel category directors, retail franchise heads, and third-party seller programme leads.
Bancassurance leaders, broker network heads, embedded finance directors, and fintech-bank partnership executives.
Medical device distribution heads, pharmacy chain partners, patient services platform leads, and managed care channel directors.
Carrier channel heads, ISP reseller managers, SaaS partner ecosystem leads, and device distribution programme directors.
Franchise operations directors, QSR regional heads, food delivery platform category managers, and beverage distribution leads.
Affinity programme directors, independent agent network heads, embedded insurance partnership leads, and bancassurance managers.
Dealer network operations heads, fleet distribution directors, EV charging partner leads, and franchise development executives.
EdTech platform channel heads, curriculum distribution directors, tutoring franchise leads, and learning marketplace partnership executives.
Get B2B2C decision-makers filtered to your exact vertical, from QSR franchise operations to bancassurance and EV charging partners.
From request to CRM-ready deployment.
Choose channel model, executive seniority, industry, geography, and partner network size filters that match your ICP.
We send 25 verified B2B2C executive contacts at no cost so you can validate data quality before purchasing.
Your custom database is delivered within 2-5 business days via CSV, Excel, or direct CRM integration.
Deploy into your outbound sequences, ABM campaigns, or enrichment workflows immediately.
Need a narrower focus or a broader reach? These purpose-built sub-segment databases complement the main B2B2C executives list.
680K+ franchise development and operations directors across global franchise systems.
Reach category decision-makers at major digital and physical marketplaces worldwide.
VPs and directors running indirect-sales and reseller channel programmes.
Wholesale and distributor relationship leads across 90 countries and 20+ verticals.
Bundle B2B2C executives with related channel, franchise, and distributor lists for full partner-ecosystem coverage.
A single verified source for B2B2C decision maker contacts and executive data, structured so your channel, franchise, and marketplace outreach lands where it counts.
A B2B2C Executives Database is a specialized contact database of professionals who manage the channels, partnerships, marketplaces, franchises, and indirect sales networks that help businesses reach end consumers. It provides access to decision-makers operating between traditional B2B and B2C environments.
B2B2C executives include Channel Sales Directors, Partnership Leaders, Franchise Directors, Marketplace Managers, Distribution Heads, Indirect Sales Executives, Alliance Managers, and other professionals responsible for partner-led growth and consumer market access.
Traditional B2B data focuses on corporate buyers such as IT, Finance, Procurement, and Operations leaders. B2B2C data identifies executives who manage the partner ecosystems, distribution channels, and customer-facing networks that connect businesses with consumers.
The database includes contacts across retail, eCommerce, consumer goods, fintech, healthcare, logistics, telecommunications, travel, hospitality, education, SaaS, and other industries that rely on partner-led or indirect-to-consumer business models.
Common titles include Channel Director, Head of Partnerships, Franchise Development Director, Marketplace Manager, Indirect Sales Director, Alliance Manager, Distribution Manager, Partner Program Director, and Channel Marketing Leader.
Technology vendors, SaaS providers, marketing agencies, consulting firms, logistics companies, payment processors, franchise solution providers, and business service organizations can use the database to identify and engage relevant decision-makers.
Most databases are designed to categorize contacts as either corporate buyers or consumer audiences. B2B2C executives operate between these categories, managing both business partnerships and consumer-facing growth, making them difficult to identify through standard filters.
The database typically includes executive names, job titles, company details, business email addresses, phone numbers, industry classifications, company size, geographic information, and other firmographic data points.
Organizations use the database to generate leads, support account-based marketing campaigns, identify channel and partnership opportunities, promote software and services, and build relationships with executives responsible for indirect revenue growth.
These executives influence how products and services reach consumers through partner networks, franchises, marketplaces, distributors, and resellers. Reaching them can open new revenue channels, partnership opportunities, and market expansion initiatives.
Companies that sell through franchises, marketplaces, distributors, retailers, affiliates, channel partners, resellers, and strategic alliances often rely on B2B2C models to expand consumer reach and accelerate growth.
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