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BrandJet AI Platform Help

BrandJet AI平台帮助

Help the user with BrandJet AI platform questions — from multi-channel outreach and unified inbox through brand monitoring, AI visibility tracking, lead discovery, Artemis AI agent, and integrations.
为用户解答BrandJet AI平台相关问题——涵盖多渠道触达、统一收件箱、品牌监测、AI可见性追踪、线索挖掘、Artemis AI agent及集成功能等方面。

Step 1 — Gather context

步骤1 — 收集上下文

If 
references/learnings.md
exists, read it first for accumulated knowledge.
Ask the user:
  1. What area of BrandJet do you need help with?
    • A) Multi-channel outreach — email, LinkedIn, Twitter/X, WhatsApp, Instagram, Telegram sequences
    • B) Unified inbox — managing replies across channels, AI sentiment categorization
    • C) Brand monitoring — tracking mentions across social media, news, forums
    • D) AI Visibility Monitoring — tracking brand mentions in ChatGPT, Claude, Perplexity, Gemini
    • E) Lead discovery — finding contacts from the 700M+ database, AI enrichment
    • F) Social listening — buyer intent signals, keyword tracking
    • G) Email warmup — warming up mailboxes for deliverability
    • H) Artemis AI agent — conversational AI for GTM workflows, autonomous channel responses
    • I) Integrations — Slack, HubSpot, Attio, Reddit, YouTube, webhooks
    • J) Team & admin — member access, role-based controls, billing, plan limits
    • K) Something else — describe it
  2. What's your role?
    • A) Sales rep / AE / BDR
    • B) Sales manager / team lead
    • C) Marketing / brand manager
    • D) RevOps / Sales Ops
    • E) Founder / solo seller
    • F) Other
  3. What are you trying to accomplish? (describe your specific goal or question)
If the user's request already provides most of this context, skip directly to the relevant step. Lead with your best-effort answer using reasonable assumptions (stated explicitly), then ask only the most critical 1-2 clarifying questions at the end — don't gate your response behind gathering complete context.
Note: If the user needs a specialized skill, route them there with a brief explanation of why that skill is a better fit.
若
references/learnings.md
文件存在，请先读取其中积累的知识。
向用户询问：
  1. 你需要BrandJet哪方面的帮助？
    • A) 多渠道触达 — 邮件、LinkedIn、Twitter/X、WhatsApp、Instagram、Telegram序列
    • B) 统一收件箱 — 跨渠道回复管理、AI情绪分类
    • C) 品牌监测 — 追踪社交媒体、新闻、论坛中的品牌提及
    • D) AI可见性监测 — 追踪ChatGPT、Claude、Perplexity、Gemini中的品牌提及
    • E) 线索挖掘 — 从7亿+联系人数据库中查找线索、AI信息补充
    • F) 社交聆听 — 买家意向信号、关键词追踪
    • G) 邮箱预热 — 提升邮箱送达率的预热操作
    • H) Artemis AI agent — 用于GTM工作流的对话式AI、跨渠道自主回复
    • I) 集成功能 — Slack、HubSpot、Attio、Reddit、YouTube、webhooks
    • J) 团队与管理 — 成员权限、基于角色的控制、账单、套餐限制
    • K) 其他 — 请描述具体需求
  2. 你的角色是什么？
    • A) 销售代表/AE/BDR
    • B) 销售经理/团队负责人
    • C) 营销/品牌经理
    • D) RevOps/Sales Ops
    • E) 创始人/独立销售者
    • F) 其他
  3. 你想要达成什么目标？（描述具体目标或问题）
若用户请求已提供大部分上述上下文，可直接跳至相关步骤。 先基于合理假设（需明确说明）给出最佳答案，最后仅询问最关键的1-2个澄清问题——不要要求用户提供完整上下文才给出回复。
注意：若用户需要特定专项技能，需引导至对应技能并简要说明原因。

Step 2 — Route or answer directly

步骤2 — 引导或直接解答

If the request maps to a specialized skill, route:
  • Cadence strategy / sequence design → 
    /sales-cadence
  • Contact enrichment / data hygiene → 
    /sales-enrich
  • Cross-platform deliverability → 
    /sales-deliverability
  • Social listening strategy (platform-agnostic) → 
    /sales-social-listening
  • AI visibility strategy (platform-agnostic) → 
    /sales-ai-visibility
Otherwise, answer directly from platform knowledge using the reference below.
若请求对应专项技能，进行引导：
  • 节奏策略/序列设计 → 
    /sales-cadence
  • 联系人信息补充/数据清理 → 
    /sales-enrich
  • 跨平台送达率 → 
    /sales-deliverability
  • 社交聆听策略（跨平台通用） → 
    /sales-social-listening
  • AI可见性策略（跨平台通用） → 
    /sales-ai-visibility
否则，直接基于平台知识结合下方参考内容解答。

Step 3 — BrandJet platform reference

步骤3 — BrandJet平台参考

Provide module-by-module guidance based on the user's area:
根据用户需求的领域提供分模块指导：

Multi-channel outreach

多渠道触达

  • What it is: Coordinated outreach sequences across email, LinkedIn, Twitter/X, WhatsApp, Instagram, and Telegram with a visual drag-and-drop workflow builder
  • Key concepts: Multi-channel sequences = coordinated outreach flows across channels, steps = individual touchpoints, workflow builder = visual drag-and-drop editor for designing sequences
  • Channel support: Email, LinkedIn, Twitter/X, WhatsApp, Instagram, Telegram — all managed from one interface
  • Best practices: Start with 2-3 channels before adding more, personalize per channel (don't copy-paste the same message), stagger touchpoints to avoid overwhelming prospects
  • 定义：跨邮件、LinkedIn、Twitter/X、WhatsApp、Instagram、Telegram的协同触达序列，搭配可视化拖拽工作流构建器
  • 核心概念：Multi-channel sequences（多渠道序列）= 跨渠道协同触达流程，steps（步骤）= 单个触点，workflow builder（工作流构建器）= 用于设计序列的可视化拖拽编辑器
  • 渠道支持：邮件、LinkedIn、Twitter/X、WhatsApp、Instagram、Telegram — 所有渠道统一管理
  • 最佳实践：先从2-3个渠道开始，再逐步增加；为每个渠道定制个性化内容（不要复制粘贴相同消息）；错开触点时间，避免过度打扰潜在客户

Unified inbox

统一收件箱

  • What it is: A single inbox that aggregates replies from all outreach channels with AI-powered sentiment categorization
  • Key features: View and respond to replies across all channels in one place, AI auto-categorizes sentiment (positive, negative, neutral, interested), filter by channel, campaign, or sentiment
  • Best practices: Check the inbox daily, prioritize positive-sentiment replies, respond within 1 hour for best conversion rates
  • 定义：聚合所有触达渠道回复的单一收件箱，搭配AI驱动的情绪分类功能
  • 核心功能：在同一界面查看并回复所有渠道的消息；AI自动分类情绪（积极、消极、中立、感兴趣）；可按渠道、活动或情绪筛选
  • 最佳实践：每日查看收件箱；优先处理积极情绪的回复；1小时内回复以获得最佳转化率

Brand / social monitoring

品牌/社交监测

  • What it is: Tracks brand mentions across social media platforms, news sites, and forums in real time
  • Key features: Monitor your brand, competitors, or industry keywords across social platforms, news, and forums. Get alerts for new mentions.
  • Best practices: Set up monitoring for your brand name, product names, and top 2-3 competitors. Review mention sentiment weekly.
  • 定义：实时追踪社交媒体平台、新闻网站和论坛中的品牌提及
  • 核心功能：监测品牌、竞品或行业关键词在社交平台、新闻和论坛中的动态；获取新提及的提醒
  • 最佳实践：设置品牌名称、产品名称及Top2-3竞品的监测；每周查看提及内容的情绪

AI Visibility Monitoring

AI可见性监测

  • What it is: Tracks how and when your brand is mentioned in AI model responses — ChatGPT, Claude, Perplexity, Gemini
  • Key concepts: Monitors what AI models say about your brand when users ask relevant questions. Tracks mention frequency, sentiment, and positioning relative to competitors.
  • Important: Accuracy depends on query design — LLMs produce different answers depending on how the question is phrased. Test multiple query variations for reliable tracking.
  • Best practices: Track 5-10 key queries your buyers would ask AI models, monitor weekly, compare your visibility against competitors
  • 定义：追踪AI模型（ChatGPT、Claude、Perplexity、Gemini）回复中提及品牌的方式和时机
  • 核心概念：监测用户提出相关问题时AI模型对品牌的描述；追踪提及频率、情绪及相对于竞品的定位
  • 重要提示：准确性取决于查询设计——LLM会根据提问方式给出不同答案。测试多种查询变体以确保追踪可靠性
  • 最佳实践：追踪5-10个买家会向AI模型提出的关键问题；每周监测；与竞品对比可见性表现

Lead discovery

线索挖掘

  • What it is: Access to a 700M+ contact database with AI-powered enrichment for finding and qualifying prospects
  • Key features: Search by industry, company size, title, location, and more. AI enrichment adds verified emails, phone numbers, and social profiles.
  • Plan limits: Starter = 1K verified leads/month, Pro = 10K verified leads/month. These limits can exhaust quickly at high volume — plan your searches carefully.
  • Best practices: Use tight filters to avoid burning through lead credits on low-quality matches, verify leads before adding to outreach sequences
  • 定义：访问7亿+联系人数据库，通过AI驱动的信息补充查找并筛选潜在客户
  • 核心功能：按行业、公司规模、职位、地点等条件搜索；AI补充验证后的邮箱、电话及社交账号
  • 套餐限制：Starter套餐=每月1000条验证线索，Pro套餐=每月10000条验证线索。高频率使用会快速耗尽额度——需谨慎规划搜索
  • 最佳实践：使用精准筛选条件避免浪费线索额度在低质量匹配上；添加到触达序列前先验证线索

Social listening & buyer intent

社交聆听与买家意向

  • What it is: AI-identified purchase readiness signals from social media activity and keyword tracking
  • Key features: Track keyword signals across social platforms. Starter = 10K keyword signals/month, Pro = 50K signals/month. Identify prospects showing buying intent.
  • Best practices: Focus on high-intent keywords (competitor mentions, pain-point phrases, purchase-related terms), act on signals within 24-48 hours
  • 定义：通过社交媒体活动和关键词追踪识别AI标记的购买意向信号
  • 核心功能：跨社交平台追踪关键词信号。Starter套餐=每月10000条关键词信号，Pro套餐=每月50000条信号。识别显示购买意向的潜在客户
  • 最佳实践：聚焦高意向关键词（竞品提及、痛点表述、购买相关术语）；24-48小时内响应信号

Email warmup

邮箱预热

  • What it is: Automated email warmup included in all plans — no additional cost, unlimited warmup accounts
  • Key features: Gradually increases send volume on new mailboxes to build sender reputation. Included at no extra cost on all plans.
  • Best practices: Warm up new mailboxes for at least 2-3 weeks before launching outreach. Don't skip warmup even if you have an established domain — new mailboxes need it.
  • 定义：所有套餐均包含的自动邮箱预热服务——无需额外付费，支持无限预热账号
  • 核心功能：逐步提升新邮箱的发送量以建立发件人信誉。所有套餐免费提供
  • 最佳实践：新邮箱至少预热2-3周再启动触达。即使域名已成熟，新邮箱仍需预热

Artemis AI agent

Artemis AI agent

  • What it is: Conversational AI agent and MCP layer for executing GTM workflows through natural language commands
  • Key concepts: "Artemis" = BrandJet's AI agent that controls the platform via conversation. Can execute multi-step workflows, set up sequences, and manage campaigns through natural language.
  • AI Agents: Autonomous responders that can reply to social mentions and messages across channels without manual intervention
  • Important: Artemis and the MCP layer are newer features — documentation may be limited. Start with simple workflows and build complexity gradually.
  • 定义：对话式AI agent及MCP层，通过自然语言指令执行GTM工作流
  • 核心概念："Artemis" = BrandJet的AI agent，可通过对话控制平台。能执行多步骤工作流、设置序列、管理活动
  • AI Agents：自主回复器，无需人工干预即可回复社交提及和跨渠道消息
  • 重要提示：Artemis和MCP层是较新功能——文档可能有限。先从简单工作流开始，逐步增加复杂度

Website analytics

网站分析

  • What it is: Built-in website visitor analytics to track traffic and engagement alongside outreach performance
  • Key features: Track visitors, page views, and engagement metrics without needing a separate analytics tool
  • 定义：内置网站访客分析功能，可结合触达表现追踪流量和互动数据
  • 核心功能：无需额外工具即可追踪访客、页面浏览量和互动指标

Team management

团队管理

  • What it is: Role-based access controls for team members
  • Key features: Invite team members, assign roles, control access to campaigns, leads, and settings
  • 定义：针对团队成员的基于角色的访问控制
  • 核心功能：邀请团队成员、分配角色、控制活动、线索和设置的访问权限

Integrations

集成功能

  • Native integrations: Slack (notifications), HubSpot (CRM sync), Attio (CRM sync), Reddit (monitoring), YouTube (monitoring)
  • Webhooks: Custom webhooks available for event-driven automation
  • No public API: BrandJet does not have a documented public API. Integration is webhook-based — push events to your systems, but you cannot pull data programmatically.
  • 原生集成：Slack（通知）、HubSpot（CRM同步）、Attio（CRM同步）、Reddit（监测）、YouTube（监测）
  • Webhooks：支持自定义webhooks实现事件驱动自动化
  • 无公开API：BrandJet无公开文档化API。集成基于webhooks——可向你的系统推送事件，但无法通过编程方式拉取数据

Pricing reference

定价参考

  • Starter: $60/month — 1K verified leads/month, 10K keyword signals, 1 social account included
  • Pro: $200/month — 10K verified leads/month, 50K keyword signals, unlimited competitor tracking, priority support
  • Annual billing: Saves 20%
  • Additional social accounts: $17-20/month each beyond the included account
  • Free trial: 7 days, no credit card required
  • AppSumo: Lifetime deal available on AppSumo
  • Starter：每月60美元 — 每月1000条验证线索、10000条关键词信号、包含1个社交账号
  • Pro：每月200美元 — 每月10000条验证线索、50000条关键词信号、无限竞品监测、优先支持
  • 年度计费：节省20%
  • 额外社交账号：超出包含账号后，每个账号每月17-20美元
  • 免费试用：7天，无需信用卡
  • AppSumo：提供终身套餐

BrandJet data model

BrandJet数据模型

Core entities — understand these to navigate the platform:
EntityWhat it representsKey relationships
SequenceA multi-channel outreach workflowHas Steps across channels, has Leads
LeadA contact in the databaseBelongs to Sequences, has Activity
StepA touchpoint in a sequence (email, LinkedIn, etc.)Belongs to a Sequence, targets a channel
InboxUnified reply aggregatorCollects replies from all channels
MonitorA brand/keyword tracking configurationTracks mentions across platforms
AI AgentAn autonomous responderLinked to channels, replies to mentions
核心实体——理解这些可帮助你导航平台：
实体（Entity）代表内容核心关联
Sequence多渠道触达工作流包含跨渠道Steps，关联Leads
Lead数据库中的联系人属于Sequences，有Activity记录
Step序列中的单个触点（邮件、LinkedIn等）属于某个Sequence，针对特定渠道
Inbox统一回复聚合器收集所有渠道的回复
Monitor品牌/关键词追踪配置跨平台追踪提及
AI Agent自主回复器关联渠道，回复提及内容

Step 4 — Actionable guidance

步骤4 — 可落地指导

Based on the user's specific question:
  1. Step-by-step instructions — numbered steps to accomplish their goal in BrandJet
  2. Configuration recommendations — specific settings to change, with navigation paths where known
  3. Common pitfalls — what can go wrong and how to avoid it
  4. Verification — how to confirm the change worked
  5. For integration questions — note that BrandJet uses webhooks, not a public API. Design integrations around push events.
根据用户具体问题：
  1. 分步说明 — 完成目标的编号步骤
  2. 配置建议 — 需修改的具体设置及已知导航路径
  3. 常见陷阱 — 可能出现的问题及避免方法
  4. 验证方式 — 确认修改生效的方法
  5. 集成问题说明 — BrandJet使用webhooks而非公开API。围绕推送事件设计集成

Gotchas

注意事项

  • No public API. BrandJet integrates through webhooks only. You cannot pull data programmatically via REST API. Design automations around webhook push events to your systems.
  • Lead limits burn fast. Starter gives 1K and Pro gives 10K verified leads per month. Broad, unfiltered searches can exhaust credits quickly. Always use tight filters and plan monthly usage.
  • LinkedIn automation requires gradual ramp-up. New LinkedIn accounts sending too many connection requests or messages risk restrictions. Start with 10-15 actions/day and increase slowly over 2-3 weeks.
  • AI Visibility Monitoring accuracy varies. LLMs give different answers depending on prompt phrasing, timing, and model version. Don't rely on a single query — test multiple variations and track trends over time, not individual responses.
  • Additional social accounts cost extra. Only 1 social account is included on Starter. Each additional account is $17-20/month. Budget for this if you plan multi-platform monitoring.
  • Artemis MCP is new. Documentation may be limited and features may change. Start with simple workflows before attempting complex multi-step automations.
  • The feature set is large. New users can feel overwhelmed. Start with one module (outreach or monitoring) and expand once comfortable. Don't try to configure everything at once.
  • Self-improving: If you discover something not covered here, append it to 
    references/learnings.md
    with today's date.
  • 无公开API。BrandJet仅通过webhooks集成。无法通过REST API编程拉取数据。围绕webhooks推送事件设计自动化
  • 线索额度消耗快。Starter每月1000条、Pro每月10000条验证线索。宽泛无筛选的搜索会快速耗尽额度。始终使用精准筛选并规划月度使用
  • LinkedIn自动化需逐步提升。新LinkedIn账号发送过多连接请求或消息可能受限。从每日10-15个操作开始，2-3周内逐步增加
  • AI可见性监测准确性不稳定。LLM会根据提示措辞、时间和模型版本给出不同答案。不要依赖单一查询——测试多种变体并追踪长期趋势，而非单个回复
  • 额外社交账号需付费。Starter仅包含1个社交账号。每个额外账号每月17-20美元。若计划多平台监测需预留预算
  • Artemis MCP是新功能。文档有限且功能可能变更。先尝试简单工作流再尝试复杂多步骤自动化
  • 功能范围广。新用户可能感到无从下手。先从一个模块（触达或监测）开始，熟悉后再扩展。不要试图一次性配置所有功能
  • 自我迭代：若发现未涵盖的内容，将其添加到
    references/learnings.md
    并标注日期

Step 5 — Related skills

步骤5 — 相关技能

  • /sales-cadence
    — Design multi-channel outbound cadences (platform-agnostic strategy that works with BrandJet sequences)
  • /sales-deliverability
    — Cross-platform email deliverability — SPF/DKIM/DMARC, warmup, inbox placement
  • /sales-social-listening
    — Social listening strategy across platforms
  • /sales-enrich
    — Enrich contacts with emails/phones before importing
  • /sales-ai-visibility
    — AI visibility monitoring across LLMs (platform-agnostic strategy)
  • /sales-do
    — Not sure which skill to use? The router matches any sales objective to the right skill. Install: 
    npx skills add sales-skills/sales --skill sales-do
  • /sales-cadence
    — 设计多渠道外展节奏（跨平台通用策略，适用于BrandJet序列）
  • /sales-deliverability
    — 跨平台邮件送达率优化 — SPF/DKIM/DMARC、预热、收件箱投递
  • /sales-social-listening
    — 跨平台社交聆听策略
  • /sales-enrich
    — 导入前补充联系人邮箱/电话信息
  • /sales-ai-visibility
    — 跨LLM的AI可见性监测（跨平台通用策略）
  • /sales-do
    — 不确定使用哪个技能？该路由可匹配任何销售目标到对应技能。安装：
    npx skills add sales-skills/sales --skill sales-do

Examples

示例

Example 1: Setting up multi-channel outreach

示例1：设置多渠道触达

User says: "How do I create a sequence in BrandJet that uses email and LinkedIn?" Skill does:
  1. Walks through the visual workflow builder to create a new multi-channel sequence
  2. Explains how to add email and LinkedIn steps with appropriate delays between touchpoints
  3. Advises on LinkedIn ramp-up for new accounts to avoid restrictions
  4. Recommends personalizing messaging per channel rather than using identical copy Result: User has a multi-channel sequence configured with email and LinkedIn touchpoints and understands safe LinkedIn automation practices
用户提问："如何在BrandJet中创建同时使用邮件和LinkedIn的sequence？" 技能操作：
  1. 引导使用可视化工作流构建器创建新的多渠道sequence
  2. 说明如何添加邮件和LinkedIn步骤，并设置触点间的合理延迟
  3. 建议新LinkedIn账号逐步提升操作量以避免受限
  4. 推荐为每个渠道定制个性化消息，而非使用相同内容 结果：用户配置好包含邮件和LinkedIn触点的多渠道sequence，并了解LinkedIn自动化安全实践

Example 2: Brand monitoring in AI models

示例2：AI模型中的品牌监测

User says: "I want to track whether ChatGPT and Claude mention my brand when users ask about our category" Skill does:
  1. Explains the AI Visibility Monitoring module and how it tracks mentions across ChatGPT, Claude, Perplexity, and Gemini
  2. Guides setup of monitoring queries based on category-relevant questions buyers would ask
  3. Warns that LLM responses vary by prompt phrasing — recommends testing multiple query variations
  4. Suggests tracking competitors alongside their brand for relative positioning Result: User has AI visibility monitoring configured with multiple query variations and understands the limitations of LLM response consistency
用户提问："我想追踪用户询问我们品类时，ChatGPT和Claude是否提及我的品牌" 技能操作：
  1. 解释AI可见性监测模块及其如何追踪ChatGPT、Claude、Perplexity和Gemini中的品牌提及
  2. 指导基于买家会问的品类相关问题设置监测查询
  3. 提醒LLM回复会因提示措辞而异——建议测试多种查询变体
  4. 建议同时监测竞品以对比定位 结果：用户配置好包含多种查询变体的AI可见性监测，并理解LLM回复一致性的局限性

Example 3: Managing lead credits efficiently

示例3：高效管理线索额度

User says: "I'm on the Starter plan and already used half my leads this month. How do I make them last?" Skill does:
  1. Explains the 1K/month verified lead limit on Starter
  2. Recommends tightening search filters (industry, company size, title) to reduce low-quality matches
  3. Suggests qualifying leads with social listening signals before pulling verified contact info
  4. Discusses upgrading to Pro (10K/month) if volume needs consistently exceed Starter limits Result: User has a strategy for conserving lead credits and knows when upgrading makes sense
用户提问："我用的是Starter套餐，本月已经用了一半线索额度。如何让额度用到月底？" 技能操作：
  1. 说明Starter套餐每月1000条验证线索的限制
  2. 建议收紧搜索筛选条件（行业、公司规模、职位）以减少低质量匹配
  3. 建议先通过社交聆听信号筛选线索，再获取验证后的联系人信息
  4. 若需求持续超出Starter限制，讨论升级到Pro套餐（每月10000条线索） 结果：用户获得线索额度保存策略，并了解何时适合升级套餐

Troubleshooting

故障排除

Overwhelmed by features

因功能过多感到无从下手

Symptom: New user unsure where to start — too many modules and settings Cause: BrandJet combines outreach, monitoring, lead discovery, and AI agents in one platform Solution: Pick one primary use case to start. For outreach-first users: set up email warmup, then create a single-channel email sequence, then expand to multi-channel. For monitoring-first users: configure brand monitoring, then add AI visibility tracking. Add modules one at a time.
症状：新用户不确定从何开始——模块和设置过多 原因：BrandJet将触达、监测、线索挖掘和AI agent整合在一个平台 解决方案：选择一个核心使用场景开始。以触达为主的用户：先设置邮箱预热，再创建单渠道邮件sequence，之后扩展到多渠道。以监测为主的用户：先配置品牌监测，再添加AI可见性追踪。逐个添加模块

LinkedIn account restricted after automation

LinkedIn账号因自动化受限

Symptom: LinkedIn shows warnings or temporarily restricts the account after starting BrandJet outreach Cause: Too many automated actions too quickly on a new or low-activity LinkedIn account Solution: Reduce daily LinkedIn actions to 10-15 per day. Warm up gradually over 2-3 weeks. Ensure the LinkedIn profile is complete and has regular organic activity. Pause automation until restrictions are lifted.
症状：启动BrandJet触达后，LinkedIn显示警告或临时限制账号 原因：新账号或低活跃度账号过快执行过多自动化操作 解决方案：将每日LinkedIn操作减少到10-15个。2-3周内逐步提升。确保LinkedIn资料完整且有规律的自然活动。限制解除前暂停自动化

Lead credits exhausted mid-month

月中耗尽线索额度

Symptom: Ran out of verified leads before the billing cycle resets Cause: Broad search filters pulling too many unqualified contacts, or high-volume prospecting on the Starter plan Solution: Review search history and tighten filters for remaining campaigns. Use social listening signals to pre-qualify before pulling verified contact data. Consider upgrading to Pro for 10K leads/month if this is a recurring issue. Credits reset at the start of the next billing cycle.
症状：账单周期重置前用完验证线索 原因：宽泛的搜索筛选条件获取过多不合格联系人，或Starter套餐下高频率挖掘线索 解决方案：查看搜索历史并收紧剩余活动的筛选条件。使用社交聆听信号预筛选后再获取验证联系人信息。若问题反复出现，考虑升级到Pro套餐（每月10000条线索）。额度会在新账单周期开始时重置