Maximize ABM Performance
Elevate ABM account tuning beyond basic firmographic segmentation by incorporating technographic intelligence and intent signals to create hyper-targeted account segments.
Challenges Facing Teams Running ABM Campaigns
Challenges
- Missing critical buying signals. Teams miss key events like champion moves or funding, weakening targeting and timing.
- Inaccurate buyer profiles. Outdated or poor profile data leads to weak messaging, lost relevance, and missed revenue.
- No visibility into intent. Lack of account intent causes wasted spend and missed opportunities to engage in-market.
- Poor account selection. Teams overlook high-value accounts or pursue low-fit ones, lowering ROI and engagement.
- Misaligned campaign targeting. Sales and marketing lack shared data, creating inconsistent targeting and outreach.
Solutions
- Surface high-value signals. HG reveals real buying signals using technographics and intent to guide timely engagement.
- Build precise ICP profiles. HG adds deep tech stack and spend insights to sharpen ICP accuracy and targeting.
- Expose active account intent. HG blends technographics with first-party intent to highlight accounts researching your topics.
- Prioritize high-propensity accounts. HG scoring models rank accounts by fit, tech stack, spend signals, and conversion drivers.
- Unified targeting and scoring. HG enables shared scoring and segment exports, aligning teams around common criteria.
Boost ABM Precision, Performance, and Conversion
HG Insights elevates ABM account tuning beyond basic firmographic segmentation by incorporating deep technographic intelligence and intent signals to create hyper-targeted account segments within your ABM platforms.
Higher ABM ROI
Better Lead Quality
Faster Sales Cycles
Aligned Teams
Exportable Segments
What Are the Key Steps to Maximize ABM Performance?
Using HG Insights to augment your ABM data is easy and straightforward, and includes adding a number of more detailed, granular datapoints and signals.
Define granular account attributes, ICP details and technographics.
- Define your ICP by using the data from the HG Insights platform to help define your ideal customer profile based on your specific needs.
- Incorporate technographic attributes like competitive product usage, vendor consolidation opportunities, cloud maturity levels, and complementary technology presence.
Build tailored scoring profiles for different ABM segments using weighted criteria that reflect the unique conversion drivers for each group.
- Develop a scoring system that incorporates HG Insights data like technology stack, product use, and spend potential.
- Weight key characteristics by assigning higher scores to accounts with more of your key characteristics and higher intent signals.
Use signal strength prioritization to focus ABM efforts on accounts demonstrating both strong fit scores and current buying interest, optimizing campaign timing and resource allocation.
- Combine fit scoring with intent signal analysis to identify accounts showing active research behavior around your solution categories, competitors, or business challenges.
- Analyze account fit beyond basic firmographics (like industry and size) and use HG Insights' technographics and intent data to identify accounts that are a better fit.
- Prioritize high-value accounts using the data to pinpoint high-propensity accounts that have the highest revenue opportunity and are most likely to convert.
Prioritize high-value accounts: Use the data to pinpoint high-propensity accounts that have the highest revenue opportunity and are most likely to convert.
- Develop personalized campaigns by creating targeted campaigns based on what you know about the account's technology, intent, and potential needs.
- Align teams ensuring your sales and marketing teams are collaborating on a single strategy, using the shared HG Insights data to coordinate their outreach and engagement.
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FAQ: Maximizing ABM Performance
How does HG Insights improve ABM targeting beyond basic firmographics?
HG Insights moves ABM targeting beyond company size and industry by adding deep technographic intelligence, IT spend signals, cloud maturity indicators, and buying-center insights. This allows teams to define ICPs based on real technology environments and investment behavior, not assumptions.
By incorporating these signals, ABM teams can identify accounts that not only look similar on paper but are actually capable, ready, and aligned to buy. This results in tighter segments, stronger engagement, and materially higher ABM performance.
How does HG Insights help identify in-market ABM accounts at the right time?
HG Insights blends account fit data with real-time intent signals to identify accounts actively researching solutions, competitors, or relevant business challenges. These intent signals are evaluated alongside technographics and spend context to determine true buying readiness.
This allows ABM teams to time campaigns and outreach precisely, focusing spend and effort on accounts showing both strong fit and active buying behavior. The result is better engagement, faster pipeline movement, and reduced wasted ABM spend.
Can HG Insights help prioritize ABM accounts most likely to convert?
Yes. HG Insights uses AI-driven scoring models to rank ABM accounts based on fit, intent, and conversion drivers, including technology stack, spend levels, competitive presence, and engagement signals.
Teams can create segment-specific scoring models tailored to different ABM motions. This ensures marketing and sales focus on the highest-propensity accounts, improving conversion rates and accelerating revenue from ABM programs.
How is HG Insights data activated across ABM and CRM platforms?
HG Insights integrates directly with leading ABM, CRM, and marketing platforms, allowing refined, scored account segments to be pushed into execution tools without manual effort. Segments can be exported dynamically and kept current as signals change.
This enables immediate activation across ABM campaigns, personalization engines, and sales workflows. Shared segments and scores ensure sales and marketing operate from the same data, improving alignment and execution consistency.
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