35 common questions before you start with DataGive.使用 DataGive 前的 35 个常见问题。

DataGive helps businesses acquire customer data, append contact details, and build target audience lists for marketing campaigns.

DataGive 帮助企业获取客户数据、补全联系方式，并构建用于营销活动的目标人群名单。

Data Append enriches existing records by adding matched contact fields such as email or phone where available.

数据附加是为已有记录补充可匹配的邮箱、电话等联系方式字段。

Target Audience helps you build a new customer list from filters such as location, age, household, property, lifestyle, and intent.

目标受众帮助你通过地区、年龄、家庭、房产、生活方式和意向等筛选条件构建新客户名单。

Use Data Append when you already have customer records but lack email, phone, or other usable contact fields.

当你已经有客户记录，但缺少邮箱、电话等可用联系方式时，适合使用数据附加。

Use Target Audience when you want to acquire new prospects and do not already have a usable customer list.

当你想获取新潜客，并且还没有可用客户名单时，适合使用目标受众。

Common inputs include name, postal address, city, state, ZIP code, email, phone, customer ID, or order ID.

常见输入包括姓名、邮寄地址、城市、州、邮编、邮箱、电话、客户 ID 或订单 ID。

Typical outputs include matched email, matched phone, standardized fields, and match status where available.

常见输出包括匹配邮箱、匹配电话、标准化字段，以及可用情况下的匹配状态。

For qualified U.S. files, phone match rates may reach 70%+ depending on input quality and available data.

对于符合条件的美国文件，电话匹配率可能达到 70%+，具体取决于输入质量和数据可用性。

For qualified U.S. files, email match rates may reach 40%+ depending on input quality and data availability.

对于符合条件的美国文件，邮箱匹配率可能达到 40%+，具体取决于输入质量和数据可用性。

Yes. You can start with a sample test to review coverage, format, and usability before scaling.

可以。你可以先做样本测试，确认覆盖率、格式和可用性后再放量。

Data Append follows the package pricing shown on the Pricing page, with different per-item rates by plan.

数据附加按照价格页面展示的套餐收费，不同套餐对应不同单条价格。

Target Audience costs $0.15 per contact detail.

目标受众每个联系方式收费 0.15 美元。

Filters may include geography, age, gender, household, homeowner status, property type, income, lifestyle, interest, and recent movers.

筛选条件可包括地区、年龄、性别、家庭、房主状态、房产类型、收入、生活方式、兴趣和最近搬家者等。

Recent movers are people or households that have recently changed residence, often making them useful for home, local, and service-related campaigns.

最近搬家者是近期更换住所的人或家庭，通常适合家居、本地服务和生活类营销活动。

They often have stronger purchase intent for furniture, home services, utilities, insurance, real estate, and local offers.

他们通常对家具、本地服务、水电、保险、房地产和本地优惠有更强购买意向。

Yes, businesses commonly use appended or audience data for email campaigns, subject to their own compliance review.

可以，商家通常会将附加数据或人群数据用于邮件活动，但需自行完成合规审核。

Yes, phone data can support outbound calls, customer follow-up, sales development, and appointment setting.

可以，电话数据可用于外呼、客户跟进、销售开发和预约设置。

Yes, many businesses use audience data for postcards, letters, catalogs, and local direct mail campaigns.

可以，许多商家会将人群数据用于明信片、信件、目录册和本地直邮活动。

SMS use depends on your consent and compliance process. DataGive provides data, but your team must manage SMS compliance.

短信使用取决于你的授权和合规流程。DataGive 提供数据，但短信合规需要你的团队自行管理。

DataGive focuses on data acquisition and data delivery. Campaign execution can be done in your own CRM or marketing tools.

DataGive 专注数据获取和数据交付。营销执行可在你自己的 CRM 或营销工具中完成。

CSV and Excel are the most common formats for upload and delivery.

CSV 和 Excel 是最常用的上传与交付格式。

Processing time depends on file size, fields, and project complexity. A sample test is usually the fastest way to estimate timing.

处理时间取决于文件大小、字段和项目复杂度。样本测试通常是估算时间最快的方式。

A good file has clean columns, complete names, addresses, ZIP codes, and source IDs for mapping results back to your system.

好的输入文件应包含清晰字段、完整姓名、地址、邮编和用于回写的源 ID。

Yes. Name and address are common inputs for append projects, although results depend on match availability.

可以。姓名和地址是数据附加项目的常见输入，但结果取决于可匹配数据。

Yes. Order records can be used when they contain fields useful for matching, such as name, address, email, or phone.

可以。只要订单记录包含姓名、地址、邮箱或电话等可用于匹配的字段，就可以使用。

Yes. E-commerce sellers use DataGive for review follow-up, new product trials, repurchase campaigns, and buyer reactivation.

适合。电商卖家可用于评价跟进、新品试用、复购活动和老买家激活。

Yes. Local services use filters such as ZIP code, service radius, homeowner status, and property type to find relevant households.

适合。本地服务商可通过邮编、服务半径、房主状态和房产类型等条件找到相关家庭。

Yes. B2B teams can use enrichment and targeting to improve prospect coverage and outbound efficiency.

适合。B2B 团队可以通过补全和定向提升潜客覆盖率和外联效率。

Yes. Agencies use DataGive to prepare audience lists, enrich client files, and improve campaign inputs.

适合。代理商可用 DataGive 准备人群名单、补全客户文件并提升投放数据质量。

Yes. You can describe your ideal customer, target area, and campaign goal, and the available filters can be reviewed.

可以。你可以描述理想客户、目标地区和活动目标，我们再评估可用筛选条件。

The output is structured for practical use and can usually be imported into CRM or marketing tools after your internal review.

输出为结构化格式，经过你的内部审核后，通常可以导入 CRM 或营销工具使用。

Duplicate handling can be included as part of file preparation and delivery requirements.

可以，去重可以作为文件处理和交付要求的一部分。

Yes. Many businesses append existing customers first, then build a new target audience for expansion.

可以。很多商家会先补全已有客户，再构建新目标人群用于扩展。

Coverage depends on input quality and data availability. Sample testing is recommended before large-volume work.

覆盖率取决于输入质量和数据可用性。建议大批量处理前先做样本测试。

Send your project details, sample file, or target filters. DataGive can help you decide the right path.

发送你的项目需求、样本文件或目标筛选条件，DataGive 可以帮你判断合适路径。