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Predictive Marketing Analytics6sense

Predictive analytics for marketing collects data to be analyzed using predictive models that identify ideal accounts, where they are in the buyer’s journey, and what contacts make up the buying team. Marketing uses these insights to effectively target buyers at the right time in their buying stages with the right message.

Vendor

Vendor

6sense

Company Website

Company Website

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Product details

Predictive Marketing Analytics Software

Create predictable revenue growth by focusing on the best accounts and contacts. 6sense predictive analytics tools predict where buyers are in their journeys and focuses your attention on those most likely to buy — without form-fills, sending spam, or wasting effort.

  • **Run unique plays for each buying stage: **Always deliver the right message at the right time, through the right channels. Engage your buyers with the offers and campaigns that will resonate most.
  • **Eliminate guesswork from lead scoring: **Eliminate arbitrary lead scoring and use real-time data about your buyers to understand where they are in their buying journey.
  • **Get into deals earlier— and close faster: **Uncover demand before buyers raise their hand, making it easier to create more personalized campaigns and drive engagement.

Features

  • **Account Fit (ICP) Predictions: **Uncover the patterns and characteristics that make up your ideal customer using AI to continuously analyze historical opportunity data.
  • **In-Market Stage Predictions: **Understand where each account is in the buying process and prioritize efforts on the ones showing high-intent buying signals.
  • **Account Reach Predictions: **Answer the question “Are we doing enough to activate this account?” and quickly identify in-market accounts that require additional engagement.
  • **Contact Fit Predictions: **Select the best contacts to engage based on historical persona-based activity in successful opportunities.
  • **Contact Engagement Predictions: **Understand which contacts are engaged, how and when they are engaged, and where you have whitespace (no activity).
  • **Model Back-Testing: **Self-service back-testing reveals the efficacy and data inputs for every one of your company-specific predictive models.