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Guide 3.3 — GTM Strategy

ABM for India Teams

Account-based marketing with lean teams and Indian budgets. What ABM actually looks like when your tool budget is Rs 15,000 per month and your team is two people.

ABM without the enterprise price tag

ABM for Indian B2B teams on a lean budget is achievable with the right sequencing — two people, a focused account list, and Rs 15,000/month in tools is enough to run a full account-based motion when AI handles the research, personalisation, and content layers. According to McKinsey’s State of AI research, companies running account-based approaches with AI see 2x higher engagement rates than those running broad-based demand generation. For buyer committee dynamics in your target accounts, see the North America playbook.

The ABM tools that dominate the conversation (6sense, Demandbase, Terminus) are priced for enterprise teams with six-figure marketing budgets. The ABM playbooks that circulate online are built around these tools. For an Indian B2B team with a Rs 15,000/month tool budget and two people in marketing, those playbooks are useless.

This guide is about what ABM looks like without those tools. The principles are the same. The implementation is different. AI is what makes the implementation possible at lean team scale.

After this guide you will be able to
  • Build a target account list using free and low-cost data sources
  • Research and personalise at the account level without a dedicated ABM tool
  • Run a one-to-few ABM programme targeting 20-50 accounts with two people
  • Measure ABM progress without enterprise attribution software
  • Use AI to produce account-specific content at a volume that justifies the ABM approach

The Rs 15,000/month ABM stack

ABM at Indian team scale is not a tool problem. It is a process and prioritisation problem. The tools you need are either free or under Rs 2,500/month each. The constraint is discipline: running ABM properly with 30 accounts is harder than running bad ABM with 300.

Tool
Cost
What it does in your ABM stack
LinkedIn Sales Navigator
Rs 2,500/mo
Account list building, signal monitoring, connection mapping
Apollo.io (free tier)
Free
Contact data, email finding, basic sequencing
Clay (free tier)
Free
Account research automation, data enrichment
Claude / ChatGPT
Rs 1,500-2,000/mo
Account research, personalised copy, content creation
HubSpot (free CRM)
Free
Account tracking, deal pipeline, activity logging
Notion or Google Sheets
Free
ABM account tracker, signal log, engagement scoring
Total: under Rs 6,500/month
Leaving budget for occasional paid LinkedIn campaigns or event sponsorship

Building your target account list

ABM starts with account selection. The most common error is selecting too many accounts (300+) and then running what is effectively mass outbound with light personalisation. True ABM at lean team scale means 30-50 accounts for a one-to-few programme. You should know something specific about every account on your list.

30 accounts you know well will always outperform 300 accounts you know generically.

Target account list criteria prompt
Help me define the criteria for my ABM target account list. Our ICP: [paste your ICP statement] Our best closed-won accounts: [list 3-5 companies] Our current pipeline: [list active deals by company] Geographies we are targeting: [NA / UK / DACH / APAC etc.] Our team size for ABM: [number of people, hours per week available] Recommend: 1. The right number of accounts for our team size (be specific, not a range) 2. The 5 criteria we should use to score and select accounts 3. The 3 signals that should move an account from Tier 2 to Tier 1 (prioritised) 4. How often we should review and rotate the list 5. One account we should probably remove from our list based on the information above

One-to-few ABM content with AI

The content requirement for ABM is what makes it impractical for lean teams without AI. A one-to-few programme targeting 30 accounts across three industries should have content that speaks to each cluster specifically. That is three versions of every piece. AI makes this feasible without tripling your content production time.

ABM content personalisation prompt
I am running a one-to-few ABM programme targeting [industry cluster: e.g., Indian SaaS companies selling into North America]. I have a core piece of content: [describe it: blog post / case study / guide] Adapt this content for three account clusters: Cluster A: [describe: e.g., Series A companies, 50-150 employees, product-led motion] Cluster B: [describe: e.g., Series B companies, 150-500 employees, sales-led motion] Cluster C: [describe: e.g., bootstrapped companies, under 50 employees, founder-led sales] For each cluster, produce: 1. A revised headline that speaks to their specific situation 2. An opening paragraph adjusted for their context 3. One specific example or proof point most relevant to their stage 4. A CTA framed around their immediate priority Keep the core argument the same. Change the framing, examples, and language.
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