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Information for how to cite the MTE bundle.

The database marketing market is experiencing robust growth, driven by the increasing need for personalized customer experiences and the availability of advanced analytical tools. The market, currently valued at approximately $15 billion in 2025 (this is an estimated figure based on typical market sizes for similar technologies and the provided CAGR), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors: the rising adoption of data analytics and AI for customer segmentation and targeted marketing campaigns, the increasing preference for personalized marketing communications across various channels (email, social media, SMS), and the growing importance of customer relationship management (CRM) systems in building long-term customer loyalty. Large enterprises are the primary adopters, leveraging database marketing for lead generation, customer retention, and campaign optimization. However, SMEs are increasingly recognizing the value proposition, driving market expansion across various segments. Telemarketing, while still a prevalent application, is complemented by newer, digitally-driven techniques such as email marketing and programmatic advertising, utilizing database insights for superior targeting and personalization. Despite its rapid growth, the database marketing market faces certain challenges. Data privacy concerns and regulations like GDPR are increasing the complexity of data management and compliance, demanding substantial investment in secure and ethical data handling practices. The market also faces hurdles like data integration challenges from disparate sources, the need for skilled professionals to effectively utilize advanced analytics, and the ever-evolving technological landscape demanding continuous adaptation and investment in new tools and strategies. Market segmentation strategies focusing on specific industries, demographic segments, and geographic regions are critical to achieving optimal growth and return on investment for both providers and users of database marketing solutions. Key players like Adobe (Marketo), Stirista, Oracle, and HubSpot continue to innovate and expand their offerings to maintain market leadership. The geographic distribution of the market is largely influenced by the maturity of digital marketing practices in each region, with North America and Europe currently holding the largest market shares.

Class I major histocompatibility complex (MHC-I)-bound peptide ligands dictate the activation and specificity of CD8+ T cells and thus are important for devising T-cell immunotherapies. In recent times, advances in mass spectrometry (MS) have enabled the precise identification of these MHC-I peptides, wherein MS spectra are compared against a reference proteome. Unfortunately, matching these spectra to reference proteome databases is hindered by inflated search spaces attributed to a lack of enzyme restriction in the searches, limiting the efficiency with which MHC ligands are discovered. Here we offer a solution to this problem whereby we developed a targeted database search approach and accompanying tool SpectMHC, that is based on a priori-predicted MHC-I peptides. We first validated the approach using MS data from two different allotype-specific immunoprecipitates for the C57BL/6 mouse background. We then developed allotype-specific HLA databases to search previously published MS data sets of human peripheral blood mononuclear cells (PBMCs). This targeted search strategy improved peptide identifications for both mouse and human ligandomes by greater than 2-fold and is superior to traditional “no enzyme” searches of reference proteomes. Our targeted database search promises to uncover otherwise missed novel T-cell epitopes of therapeutic potential.

Targeted Drop Catch LLC Whois Database, discover comprehensive ownership details, registration dates, and more for Targeted Drop Catch LLC with Whois Data Center.

Key Features: • First-party, permission-based contact data • Covers key global markets across APAC and EU • Includes verified contact details and demographic attributes • Flexible usage for acquisition, nurture, or enrichment strategies

What’s Included: • Full Name • Email Address • Phone Number • Postal Address (City, Zipcode, Country) • Core Demographics: Age, Gender, etc • Optional Lifestyle or Interest Tags (region-dependent)

Use Cases: • Targeted email and telemarketing campaigns • Lead generation and funnel nurturing • CRM enrichment with verified contact data • Direct mail campaigns with geo-targeted reach • Scalable audience acquisition for performance marketing

Data Delivery: SFTP, API

Perfect For: • Performance Marketing Agencies • Direct-to-Consumer (DTC) Brands • Health & Beauty, Insurance, Finance, and Education Sectors • Sales & Demand Gen Teams

Molecular target identification is of central importance to drug discovery. Here, we developed a computational approach, named bioactivity profile similarity search (BASS), for associating targets to small molecules by using the known target annotations of related compounds from public databases. To evaluate BASS, a bioactivity profile database was constructed using 4296 compounds that were commonly tested in the US National Cancer Institute 60 human tumor cell line anticancer drug screen (NCI-60). Each compound was used as a query to search against the entire bioactivity profile database, and reference compounds with similar bioactivity profiles above a threshold of 0.75 were considered as neighbor compounds of the query. Potential targets were subsequently linked to the identified neighbor compounds by using the known targets of the query compound. About 45% of the predicted compound-target associations were successfully verified retrospectively, suggesting the possible application of BASS in identifying the targets of uncharacterized compounds and thus providing insight into the study of promiscuity and polypharmacology. Furthermore, BASS identified a significant fraction of structurally diverse compounds with similar bioactivities, indicating its feasibility of “scaffold hopping” in searching novel molecules against the target of interest.

The chemicals, standards and extraction protocol used as the same as given in Loupit et al. (2022) The analysis protocol was the same as described by Loupit et al. (2020) with some modifications and a different column (Agilent ZORBAX RRHD SB-C18 (2.1 mm x 100 mm, 1.8 μm)). Loupit G, Prigent S, Franc C, De Revel G, Richard T, Cookson SJ, Fonayet JV. 2020. Polyphenol Profiles of Just Pruned Grapevine Canes from Wild Vitis Accessions and Vitis vinifera Cultivars. Journal of Agricultural and Food Chemistry 68, 13397-13407. Loupit G, Prigent S, Prodhomme D, Spilmont AS, Hilbert G, Franc C, de Revel G, Ollat N, Valls Fonayet J, Cookson SJ. 2022. Identifying early metabolite markers of successful graft union formation in grapevine Horticultural Research 9, uhab070.

The 23S ribosomal RNA targeted loci project is the result of an international collaboration between a number of ribosomal RNA databases and NCBI to provide a curated and comprehensive set of complete and near full length Reference Sequence records for phylogenetic and evolutionary analyses. Sequences that represent the consensus of all contributing databases in both sequence content and taxonomic assignment are promoted to RefSeqs. All sequences will have the same project ID and can be found as such. Database URL: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA188943.

bibtext ref @article{li2024can, title={Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls}, author={Li, Jinyang and Hui, Binyuan and Qu, Ge and Yang, Jiaxi and Li, Binhua and Li, Bowen and Wang, Bailin and Qin, Bowen and Geng, Ruiying and Huo, Nan and others}, journal={Advances in Neural Information Processing Systems}, volume={36}, year={2024} }

According to the results of a global survey of mobile users conducted in early 2019, 58 percent of respondents stated that they were prepared to share data on what mobile apps and websites they use to avoid paying for online content. However, 29 percent of respondents would have rather pay for content and not share their personal data.

Allforce is a leading data intelligence company specializing in comprehensive audience targeting solutions. We maintain one of the most extensive and accurate databases of professional contact information, with a focus on delivering verified, actionable data that drives measurable marketing results for our clients.

Dataset Overview: Our US Human Resources Professional Contact Database provides access to 2.4 million verified HR professionals across 475,000 companies nationwide. This premium dataset is specifically curated for B2B marketers seeking to connect with decision-makers in the HR ecosystem.

Key Features & Benefits: 2.4M+ HR professionals across all specialties 475,000+ companies represented Segmented by HR function: Benefits, Payroll, Recruiting, Training, Compensation, and more Decision-maker level contacts included

Data Quality & Verification: LinkedIn URL verification for each contact Regular database updates and maintenance High deliverability rates (Email Safe certification) Active professional verification process

Multi-Channel Marketing Support: Email addresses (newsletter-safe, verified deliverable) Direct phone numbers for telemarketing Postal addresses for direct mail campaigns LinkedIn profile matching for social outreach Digital advertising - Programmatic audiences

Data Compliance & Safety: All data is collected and maintained in compliance with applicable privacy regulations. Our "Safe to Email" certification ensures subscribers have opted into professional communications, reducing bounce rates and compliance risks.

Industries Served: Healthcare, Technology, Manufacturing, Financial Services, Retail, Education, Government, and all major industry verticals with HR departments.

Transform your HR marketing strategy with verified, actionable contact data that delivers results.

Buy consumer data from us to find the target audience for b2c marketing. FrescoData offer the Highest Value for People and consumer marketing.

Premium B2C Consumer Database - 269+ Million US Records

Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

Core Database Statistics

Consumer Records: Over 269 million

Email Addresses: Over 160 million (verified and deliverable)

Phone Numbers: Over 76 million (mobile and landline)

Mailing Addresses: Over 116,000,000 (NCOA processed)

Geographic Coverage: Complete US (all 50 states)

Compliance Status: CCPA compliant with consent management

Targeting Categories Available

Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

Multi-Channel Campaign Applications

Deploy across all major marketing channels:

Email marketing and automation

Social media advertising

Search and display advertising (Google, YouTube)

Direct mail and print campaigns

Telemarketing and SMS campaigns

Programmatic advertising platforms

Data Quality & Sources

Our consumer data aggregates from multiple verified sources:

Public records and government databases

Opt-in subscription services and registrations

Purchase transaction data from retail partners

Survey participation and research studies

Online behavioral data (privacy compliant)

Technical Delivery Options

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download

Processing: Real-time NCOA, email validation, phone verification

Custom Selections: 1,000+ selectable demographic and behavioral attributes

Minimum Orders: Flexible based on targeting complexity

Unique Value Propositions

Dual Spouse Targeting: Reach both household decision-makers for maximum impact

Cross-Platform Integration: Seamless deployment to major ad platforms

Real-Time Updates: Monthly data refreshes ensure maximum accuracy

Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

Compliance Management: Built-in opt-out and suppression list management

Ideal Customer Profiles

E-commerce retailers seeking customer acquisition

Financial services companies targeting specific demographics

Healthcare organizations with compliant marketing needs

Automotive dealers and service providers

Home improvement and real estate professionals

Insurance companies and agents

Subscription services and SaaS providers

Performance Optimization Features

Lookalike Modeling: Create audiences similar to your best customers

Predictive Scoring: Identify high-value prospects using AI algorithms

Campaign Attribution: Track performance across multiple touchpoints

A/B Testing Support: Split audiences for campaign optimization

Suppression Management: Automatic opt-out and DNC compliance

Pricing & Volume Options

Flexible pricing structures accommodate businesses of all sizes:

Pay-per-record for small campaigns

Volume discounts for large deployments

Subscription models for ongoing campaigns

Custom enterprise pricing for high-volume users

Data Compliance & Privacy

VIA.tools maintains industry-leading compliance standards:

CCPA (California Consumer Privacy Act) compliant

CAN-SPAM Act adherence for email marketing

TCPA compliance for phone and SMS campaigns

Regular privacy audits and data governance reviews

Transparent opt-out and data deletion processes

Getting Started

Our data specialists work with you to:

1. Define your target audience criteria

2. Recommend optimal data selections

3. Provide sample data for testing

4. Configure delivery methods and formats

5. Implement ongoing campaign optimization

Why We Lead the Industry

With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information.

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in MassiveFold_CASP16_Abstract.pdf - README.txt describes the contents of the main MassiveFold.tar.gz file - the main MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - theonly_pdbs_MassiveFold.tar.gzis the result of thegather_runs.pyscript, without the pickle files. It contains a list of all the pdb files and ranking files with scores. -gather_runs.pyallows to gather the runs, to use preferentially to the one included in the mainMassiveFold.tar.gzat the time of the prediction phase, because it has been updated -combined_scores.csv` file contains the CASP assessment for the target (from https://predictioncenter.org/)

The 18S ribosomal RNA targeted loci project is a RefSeq curated data set sourced from INSDC records. At a minimum the sequence contains most of the variable V4 region and part of the V5 region and each record contain a collection identifier (predominantly type material) from a public collection. The presence of the 18S signature has been verified by the ribovore pipeline (https://github.com/nawrockie/ribovore) using hidden Markov and covariance models. Other verification steps for example checking for vector sequences, too many ambiguous nucleotides, and misassembled sequences are also included. SSU RefSeq accessions (NG_ ) include sequences mostly obtained from type specimens and a few from reference specimens. Type and reference identifiers are curated by NCBI Taxonomy. The collection source of type material is indicated in each record and collection acronyms follows the collection codes maintained at https://www.ncbi.nlm.nih.gov/biocollections/. All sequences will have the same project ID and can be found as such. Database URL: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA39195.

Facebook ads are increasingly used by political scientists as a method of survey recruitment. A key advantage is said to be the ability to recruit targeted audiences defined by demographics, political beliefs, location, and numerous other attributes. The same feature has been decried by non-researchers concerned about potential racial discrimination and foreign influence in elections. The extent to which these ads actually reach their targets, however, is unknown. Using a series of 6 surveys and 20 targeted ads, I show these ads regularly fail to reach their targets. The success rate ranges from 23% to 99%, and ads targeted toward groups defined by self-reported data and broader geographic locations are generally more successful.

During a December 2022 survey among smartphone users in the United States, 13 percent of respondents felt comfortable about sharing their data with cell phone manufacturers. Consumer trust stood at the lowest regarding sharing their data with advertisers, at only seven percent. 60 percent of respondents felt uncomfortable sharing their data with third-parties.