B2B & Technology

B2B and Technology businesses become empowered through new B2B enabled data solutions to accelerate and deepen account growth and retention.

B2B and High Tech companies share a lot of similarities across other industries, however how they apply data incorporates another layer of complexity. They must focus on individuals and account entities at the same time, using different but coordinated tactics. This adds the company dimension to customer and prospect data strategies and often necessitates B2B-enbled tools and marketing data stack approaches in order to target addressable audiences, build CRM and Account profiles, and ultimate grow and retain customers throughout a lengthy and multi-stakeholder sales cycle.

3x

Data mature companies are 3x more likely than lower-maturity rivals to report margin and revenue growth significantly above their industry average.

The B2B & High Tech Customer Journey

Enabling Marketing & Customer Stack Capabilities

Cross-Channel Analytics & Insights

Known & Anonymous Profile Building (Account vs Individual)

Privacy Governance

Account-Based Marketing Audience

Personalization & Journey Orchestration

B2B Audience Management & Retargeting

CRO & Experience Optimization

Sales CRM & Marketing Data Integration

High-Value Propensity Modeling

Usage & Attrition Predictive Modeling

B2B & High Tean Marketing & Customer Data Activation Focuses:

Cross-Channel Analytics Collection & Insights
Advanced Offer/Promotion Decisioning within B2B
B2B vs Individual CDP + Journey Management
Account Based Marketing Audience Enablement
High-Value Account Prospect Modeling
Account Attrition Prevention

DiveTeam Capabilities To Unlock Opportunities within B2B & High Tech:

Cross-Channel Analytics & Insights Enablement
B2B Customer Data & Journey Platforms
Sales Progression & Digital CRO
CRM Data Integration & CDP / Martech
Data Science & AI-Modeled B2B Audiences
Multi-source/destination Data Integration

B2B & High Tech Problems that DiveTeam Can Solve

How do we activate account and individual profiles within our CDP?
How can we create better account audiences through what we can observe from our highest-value customers?
How do we provider a richer set of information to our sales teams based on intent signals we observe in our customer channels?
How can we improve offer decisioning processes to driver higher rates of conversion?
How do we prioritize sales leads using data to focus on those more likely to convert?
How can we reduce call center traffic for high-volume topics that customers were not able to self service online?
What options do we have to serve personalized content to prospects based on their intent signals?
How can we enable cross-channel customer exploration to our marketing and product teams without all requests going through our BI or data science teams?
How do we identify high-risk customers that are likely to cancel or not renew our product?
How do we determine the optimal spend across our marketing channels?
How can we get better product using insights through our analytics tools?