Account-Based Marketing Strategy for B2B SaaS
Account-based marketing strategy for B2B SaaS. Learn ABM approaches, how to select target accounts, and when to build in-house vs work with an agency.
By Page Sands ·
Account-based marketing is a B2B strategy that focuses resources on specific target accounts rather than broad audience segments.
Instead of casting a wide net and qualifying leads after they arrive, ABM identifies high-value accounts first and then creates tailored marketing to engage them.
For B2B SaaS companies selling to mid-market or enterprise buyers, ABM often produces better results than traditional demand generation because it concentrates effort where deal sizes justify the investment.
The approach aligns marketing and sales around shared account lists and coordinates outreach across multiple channels and stakeholders within each target organization.
ABM Fundamentals for SaaS
ABM flips traditional demand generation on its head.
Traditional demand gen works like a funnel. You attract a broad audience, capture leads, qualify them down, and hand survivors to sales. Most leads don’t convert. That’s expected. Volume compensates for low conversion rates.
ABM works like a spear. You identify specific accounts worth pursuing, then focus resources on engaging and converting those accounts. There’s no anonymous lead generation. Every marketing activity targets known organizations.
This approach makes sense when deal sizes are large enough to justify account-specific investment, when buying committees involve multiple stakeholders, when sales cycles are long enough for sustained engagement, and when you can identify target accounts reliably before they raise their hands.
For B2B SaaS, ABM typically becomes relevant at price points above $25,000 annually. Below that threshold, the economics rarely work. The cost of account-specific marketing exceeds the revenue potential.
According to research from ITSMA, companies with mature ABM programs report 208% higher marketing revenue contribution compared to those without ABM. But maturity matters. Early-stage ABM programs often struggle before producing results.
One-to-One, One-to-Few, and One-to-Many
ABM exists on a spectrum of personalization and investment intensity.
One-to-one ABM dedicates significant resources to individual accounts. Custom content, personalized campaigns, dedicated account teams, and bespoke experiences. This makes sense for your highest-value targets, typically enterprise accounts with deal sizes exceeding $100,000 annually. You might run one-to-one programs for 10 to 25 accounts.
One-to-few ABM groups similar accounts into small clusters and creates tailored programs for each cluster. Perhaps you have five FinTech companies with similar challenges. You create content and campaigns relevant to that segment rather than each individual account. This balances personalization with efficiency. Typical clusters contain 5 to 15 accounts.
One-to-many ABM targets broader account lists with lighter personalization. Hundreds of accounts receive programmatic advertising, targeted content, and personalized emails based on firmographic or technographic data. Personalization is real but automated. This scales ABM economics to mid-market segments.
Most B2B SaaS companies blend these approaches. One-to-one for strategic enterprise targets. One-to-few for priority segments. One-to-many for broader mid-market coverage.
Account Selection and Tiering
Effective ABM starts with choosing the right accounts. Poor account selection dooms the program regardless of execution quality.
Define selection criteria. What makes an account a good target? Firmographic fit like industry, size, and geography. Technographic fit like technology environment and existing tools. Behavioral signals like intent data and engagement history. Strategic factors like brand value and expansion potential.
Build your initial list. Use your criteria to generate a candidate list. Pull from your CRM, purchase data from providers, or work with sales to nominate accounts. Start broader than your final list since you’ll filter down.
Tier accounts by priority. Not all target accounts deserve equal investment. Tier one accounts get one-to-one treatment. Tier two gets one-to-few. Tier three gets one-to-many. Tiering ensures resources match opportunity size.
Validate with sales. ABM requires sales buy-in. Share your proposed account list with sales leaders and reps. They’ll flag accounts that should be added or removed based on relationship context you can’t see in data.
Refresh regularly. Account lists aren’t static. Quarterly reviews should add accounts showing new potential and remove those that have disqualified. Keep the list dynamic.
Your competitive positioning should inform account selection. Accounts using competitors you beat consistently make better targets than those using competitors where you struggle.
Personalization at Scale
Personalization differentiates ABM from generic marketing. But true personalization is expensive. Finding the right level requires balancing impact against effort.
Account-level personalization. Reference the company by name, acknowledge their industry, mention their specific challenges. This basic level is table stakes for ABM and easy to automate.
Segment-level personalization. Create content and messaging for account clusters with shared characteristics. A campaign for Series B FinTech companies addressing regulatory compliance challenges. More work than account-level but more impactful.
Stakeholder-level personalization. Different messages for different personas within target accounts. The CFO cares about ROI. The technical lead cares about integration. The end user cares about ease of use. This requires understanding buying committees.
Individual-level personalization. Custom content referencing specific individuals, their LinkedIn posts, their recent conference presentations, their stated priorities. Reserve this for one-to-one programs where deal sizes justify the investment.
Resist over-personalizing early. Start with account and segment-level personalization. Add deeper personalization for programs that warrant it.
Sales and Marketing Alignment for ABM
ABM fails without tight sales and marketing alignment. The approach inherently requires coordination.
Shared account lists. Sales and marketing must agree on which accounts to target. A marketing team running ABM campaigns against accounts sales doesn’t prioritize wastes resources.
Coordinated outreach. When marketing runs a campaign against an account, sales should know. When sales is working an account actively, marketing should adjust approach. Your sales enablement strategy should include ABM-specific materials and playbooks. Without coordination, buyers receive disjointed experiences.
Shared metrics. Both teams should be measured on account engagement and pipeline from target accounts, not just their individual activities. Shared accountability drives collaboration.
Regular communication. Weekly or bi-weekly syncs between ABM marketing and sales covering the target account list. What’s working? Which accounts are engaging? Where do we need to adjust?
Feedback loops. Sales insights should inform marketing tactics. If sales hears consistent objections or learns new competitive information, marketing needs to know to adjust messaging and content.
ABM Technology Stack
ABM requires technology to execute at scale. Core components include the following.
Account identification and data. Tools to identify target accounts, enrich with firmographic and technographic data, and track intent signals. Providers like ZoomInfo, 6sense, or Demandbase.
Advertising platforms. Ability to target ads to specific accounts across display, social, and other channels. LinkedIn Campaign Manager and dedicated ABM ad platforms like Terminus or RollWorks.
Personalization tools. Technology to customize website experiences, emails, and content for target accounts. Some marketing automation platforms include this. Dedicated tools like Mutiny offer deeper capabilities.
Orchestration. Something to coordinate activities across channels and track account engagement holistically. This might be your marketing automation platform, a dedicated ABM platform, or custom integration.
Measurement. Account-level analytics showing engagement across touchpoints, pipeline progression, and revenue attribution. Standard marketing analytics often aren’t designed for account-centric measurement.
You don’t need every tool to start. Many companies launch ABM with existing marketing automation, manual account selection, and LinkedIn ads. Add specialized technology as programs mature.
Build vs Buy: ABM Agencies and Platforms
Should you build ABM capabilities in-house or work with an account based marketing agency?
Build in-house when: You have dedicated headcount to run programs, your accounts require deep institutional knowledge, you’re committed to ABM as a long-term strategy, and you have or can develop the technical capabilities.
Work with an agency when: You want to test ABM before committing to internal build-out, you lack specialized ABM expertise, you need to scale quickly, or you need help with specific components like content or advertising.
Hybrid approaches often work well. Use an agency to launch and learn while building internal capabilities. Or keep strategy in-house while outsourcing execution components.
If engaging an agency, look for B2B SaaS experience specifically. ABM for enterprise software differs from ABM for other industries. Ask for case studies with companies at your stage and deal size.
Measuring ABM Success
ABM metrics differ from traditional demand generation metrics.
Account engagement. Are target accounts interacting with your marketing? Website visits, ad engagement, content consumption, and email opens at the account level. This indicates awareness and interest.
Contact coverage. Are you reaching multiple stakeholders within target accounts? ABM should expand your footprint across buying committees, not just engage single contacts.
Pipeline from target accounts. The ultimate leading indicator. Are target accounts entering your pipeline at higher rates than non-target accounts? This validates account selection and program effectiveness.
Win rates. Do target accounts close at higher rates? They should, since ABM focuses on accounts more likely to succeed with your solution.
Deal velocity. Do ABM-engaged accounts move through pipeline faster? Coordinated engagement across stakeholders should reduce sales cycles.
Revenue and ROI. Does revenue from target accounts justify ABM investment? GTM measurement should tie program costs to revenue outcomes.
Give ABM time to produce results. Account-level programs operate on longer timelines than lead-based marketing. Expect 6 to 12 months before drawing firm conclusions about program effectiveness.
Frequently Asked Questions
What is account-based marketing (ABM)?
Account-based marketing is a B2B strategy that focuses resources on specific target accounts rather than broad audience segments. Instead of casting a wide net and qualifying leads after they arrive, ABM identifies high-value accounts first and then creates tailored marketing to engage them.
What are the three tiers of ABM?
ABM exists on a spectrum: One-to-one ABM dedicates significant resources to 10-25 individual high-value accounts. One-to-few ABM groups 5-15 similar accounts into clusters with tailored programs. One-to-many ABM targets hundreds of accounts with lighter, programmatic personalization.
When does ABM make sense for B2B SaaS companies?
ABM typically becomes relevant at price points above $25,000 annually. It works best when deal sizes justify account-specific investment, buying committees involve multiple stakeholders, sales cycles are long enough for sustained engagement, and you can identify target accounts reliably before they raise their hands.
Should I build ABM in-house or work with an agency?
Build in-house when you have dedicated headcount, your accounts require deep institutional knowledge, and you're committed long-term. Work with an agency to test ABM before committing, when you lack specialized expertise, or need to scale quickly. Hybrid approaches often work well.
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