Account-Based Marketing in the development of the B2B brand

ABM is not a funnel, but reputation in specific minds

A classic mistake is to think that ABM accelerates sales the same way targeted advertising accelerates lead generation. In fact, ABM works slower than lead generation, but deeper: it builds recognition and trust not for the product in general, but for the brand in the consciousness of 5-15 specific stakeholders of one account — an engineer, a finance director, a buyer, a potential deal blocker. That is why the average contract value in ABM deals grows by 171% compared to non-account-oriented accounts: the client pays not for a feature, but for a company that several people already know and trust simultaneously, not just one lead.

In the long run, this is branding itself: if a year after launching an ABM program, the company name is associated with reliability by CFOs of three major clients, rather than popping up as 'just another vendor from the tender' — the program has worked on the brand, even if the specific deal has not yet closed. The pipeline in mature ABM programs reaches 42–80% of the company's total new pipeline (Demandbase, 2024), and this effect is cumulative, not one-time.

ICP versus brand positioning: where priorities diverge

ICP (Ideal Customer Profile) answers the question 'to whom to sell,' while brand positioning answers the question 'what makes us different and why we should be trusted.' The problem is that when launching ABM, companies often reconfigure the target list to fit the ICP, but do not reassess positioning for the new audience. This creates a disconnect: the brand message remains mass-market ('we solve problem X for everyone'), while the communication channel becomes targeted. A stakeholder of a large account sees a personalized landing page with their logo, but behind it is the same generic promise as in the banner for cold audience. Trust does not grow.

A working approach — synchronize the review of positioning with the transition to ABM: formulate the value proposition not 'for the market,' but for 3-4 segments within the ICP, with different pain points and different language for the engineer and the CFO. Then the brand speaks to each stakeholder in their language, but remains unified in essence.

Three ABM patterns and different positioning logic

Why 70% of programs fail in the first year

Tools are almost never the main reason for failure — it's a convenient explanation hiding the real problem. The actual reasons lie in the operational disconnection of the company:

• The marketing target list does not match the sales priority list — teams literally work on different accounts;
• Marketing KPIs remain 'number of leads,' although ABM logic requires KPIs 'depth of account penetration';
• ABM is launched as a parallel process — a separate team, a separate budget, without integration with the sales funnel;
• Expectation of quick results: positive ROI is typically achieved in 6-12 months, while management expects results within the first quarter;
• There are no sufficient data on target companies to make personalization relevant, rather than cosmetic.

Case study Acronis: from 'stalker-like' personalization to role-based personalization

A good example of where the line is drawn between personalization that builds trust and personalization that scares — the Acronis experience. The company launched ABM with maximum granularity: separate landing pages were created for each target account — at one point, there were about 20 of them. The client's logo, the name of a specific contact, a mention of recent company news on the first screen. The result was the opposite of expectations: stakeholders perceived this as excessive surveillance rather than the brand's care.

The program worked after simplification: instead of personalization 'for a specific person,' they switched to personalization 'for a role' — a separate content track for engineers, a separate one for buyers, a separate one for decision makers, without names and details of personal activity. The difference is fundamental: relevant personalization speaks to the pain and context of the role, while stalking personalization demonstrates the volume of collected data about the person. The first is read as brand expertise, the second as a violation of boundaries.

Marketing and sales alignment: metrics, not declarations

A single target list — not a one-time agreement at the kickoff meeting, but a process with measurable control points. Practice shows that the following sequence works:

1. Joint formation and quarterly review of the list of target accounts by marketing and sales together, rather than handing over a ready-made list from one team to another;
2. A common 'depth of penetration' metric — the percentage of key stakeholders in an account engaged with the brand, not the number of MQLs;
3. SLA between departments on the speed of signal transfer regarding engagement (who from the account opened content, who attended a demo) — no later than 24–48 hours;
4. Joint pipeline reviews for each account every two weeks, rather than for the funnel as a whole;
5. A unified attribution system where the contribution of ABM is not credited based on last touch, but on influence across the entire account journey.

If even one of these points is missing, ABM formally exists, but functionally operates as a parallel marketing experiment, isolated from sales — and that is exactly what kills ROI in the first year more than an unsuccessful platform choice.

Russian specificity: not only obstacles, but also working solutions

In Russian B2B companies, ABM often stumbles upon inflated expectations of speed — management wants to see revenue growth within a quarter, although the nature of ABM implies a horizon of six months to a year. In addition, there is a lack of quality data on target companies: CRM is often filled incompletely, and third-party intent-data bases for the Russian market are poorly developed. Plus, the classic disconnect between departments and an attempt to launch ABM 'on the fly' — by a single marketer without a dedicated budget and without changing sales KPIs.

A working solution is not to wait for perfect data, but to start with One-to-Few on 15-20 accounts, where data can be collected manually by the sales team within a month, and immediately build in a revision of sales KPIs to match the deal cycle, which in ABM is objectively longer. Relying on gradual scaling from a narrow pilot, where the link between the brand and specific stakeholders is visible, works better in Russian realities than trying to immediately build a large-scale automated program without resources for its support.