Predictive Marketing logo
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Software Status:Active
Web
The Landmark at One Market, Suite 300, San Francisco, CA 94105
Email · Phone
All Countries

About Predictive Marketing

Predictive Marketing is a capability within Salesforce Marketing Cloud that leverages AI and data analytics to predict customer behavior, automate campaign management, and enable personalized customer segmentation.

Predictive Marketing Details

Vendor
Salesforce
Year Launched
Location
The Landmark at One Market, Suite 300, San Francisco, CA 94105
Deployment
cloud, web browser
Training Options
documentation, videos, live online, in person, demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Japanese, Chinese
Users
Marketing Manager, Sales Manager, Data Analyst, Marketing Analyst, CRM Specialist
Industries Served
Healthcare, Education, Finance, Retail.
Tags
Predictive Marketing, Predictive Analytics, Salesforce

Predictive Marketing's In-App Market Place

Does Predictive Marketing have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

8

Mini Apps

1. Einstein Lead Scoring: Automatically scores leads based on their likelihood to convert

helping sales teams prioritize their efforts.

2. Pardot Marketing Automation: Automates marketing campaigns

lead generation

and lead nurturing to drive more qualified leads and conversions.

3. Social Studio: Monitor social media mentions

engage with customers

and track social media campaigns to improve brand awareness and customer engagement.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), CHF (Fr), SEK (kr), HKD (HK$), NZD (NZ$), SGD (S$), KRW (₩), INR (₹)

Pros & Cons

  • Helps improve and optimize marketing campaigns by predicting customer behavior
  • Provides valuable insights into customer preferences and interests
  • Enhances effectiveness of targeted marketing efforts
  • Enables better customer segmentation and personalized messaging
  • Increases ROI by identifying potential high-value customers
  • Steep learning curve: Users may find it difficult to navigate and utilize all the features of the software effectively without proper training or guidance.
  • Limited customization options: The software may not offer enough flexibility for users to tailor predictive models to their specific needs or requirements.
  • High cost: The pricing of the software may be prohibitive for smaller businesses or organizations with limited budgets.
  • Lack of integration with other tools: Users may encounter difficulties in integrating the software with their existing marketing tools and systems, leading to inefficiencies and data silos.

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