Co-founder @Fullfunnel.io| ABM & full-funnel marketing for B2B tech companies with high ACV and long sales cycle
Here is a 10-step framework we use to develop ABM programs that drive revenue. 1. Form a lean ABM team - ABM marketer - Subject Matter Expert - Sales 2. Select cluster where you are more likely to get results this quarter. Pay attention to the revenue metrics: - Average contract value - Sales cycle length - Win rates - # of use cases 3. Prepare a cluster ICP. Include the buying committee, account qualification, firmographics and technographics criteria. 4. Define cluster challenges. Think about what triggers the buying process. What your buyers should be educated about. What change management is required. 5. Define criteria for accounts that are likely become sales opportunities. We prioritize: - Revenue potential - Relationship - Brand awareness - Strong challenge / product need evidence and buying signals 6. Define the sources of account selection 7. Develop content and messaging plan for the selected cluster. 8. Prioritize and segment accounts into 3 lists: - ICP cluster: no awareness, challenge is unknown - Future pipeline: vendor aware, challenge is unknown - Active Focus: vendor aware, challenge is known + demonstrating buying signals 9. Develop a warm-up program. Create a mix of activities to connect and engage with the buying committee. We always include activities from these 4 groups: - Event - Social and community - Paid distribution - Content collaborations 10. Develop an opportunity generation program. Program includes a mix of: - Cluster content hubs - 1:1 strategy/audit sessions - Direct mail - Personalized offers/business cases for the different buying committee members - Proof Of Concept planning --- ABM ≠ linear lead generation and not a shortcut to immediate revenue. ABM is about: - researching - engaging - personalizing our message and offer to accounts that are likely to buy our product to generate revenue, not MQLs. #abm #b2bmarketing
The great ABM program answers 6 questions: - How do we select the accounts that are likely to buy our product? - How do we personalize our offer to these accounts? - How do we warm up the buying committee? - How do we activate the target accounts? - How do we nurture accounts that are not sales-ready? - How do we measure the success of our program with a long sales cycle? What small wins or red flags will tell us that our program works or doesn't work? - When do we want to analyze the lagging indicators and run a program retrospective? It's not programmatic display ads + automated outbound cadence. Great post!
could you define the task of subject matter expert here
Great illustration Andrei Zinkevich Now we know engagement is more about relationship building, and traditional lead gen strategies, which work more like assembly lines do not work anymore.
It's becoming a morning ritual for me... - Get some coffee - Open LinkedIn - Be amazed by Andrei Zinkevich post - Screen shot it - Save it - Tell him how awesome it is - Think about how to implement it the rest of the morning.
The visual representation of information in these posts are simply fantastic!
Love the clear flow and especially the playbooks for warm up and opportunity creation
Andrei, this is a robust framework for ABM! One aspect that could further enhance its effectiveness is incorporating predictive analytics to refine account selection and prioritization, ensuring that sales efforts are focused not just on current opportunities but also on those with potential future value. It could optimize resource allocation and increase ROI.
This framework looks solid! It's great how you've laid out each step clearly. Thanks for sharing!
Focused on ambitious projects with amazing people.
6moAndrei Zinkevich nice post, your ABM framework aligns well with the idea of accelerating ABM through hyper-personalization, strategy, and design. Have you considered integrating technology based solutions to further enhance your ABM capabilities and speed up the pace of change? How do you see technology, AI, strategy being able to expedite personalisation but improving time / scalability potential?