Digital marketing for SaaS & B2B Companies in India

An early-stage B2B company that needs pipeline now should start with LinkedIn ads and lead generation at ₹30,000 per month management plus an ad budget of ₹75,000 to ₹1,50,000. LinkedIn is expensive per click, typically ₹150 to ₹650 in India and higher for US audiences, with cost per lead commonly ₹850 to ₹2,500 and marketing-qualified leads at ₹1,500 to ₹4,000. Below ₹25,000 to ₹50,000 of monthly budget, LinkedIn produces too few conversions to learn from, so we say so before launch.

Companies building a durable channel add content marketing at ₹30,000 per month for four SEO articles with briefs, publishing and one newsletter, or ₹60,000 for eight pieces including long-form and a quarterly lead magnet. SEO at ₹40,000 per month covers the technical audit, 20 tracked keywords, 10 optimised pages and the AI-search schema work. Email and CRM automation runs from ₹20,000 per month, with a CRM implementation from ₹60,000 one-time if the pipeline needs building from scratch.

A typical mid-stage SaaS programme therefore lands at ₹1,50,000 to ₹3,00,000 per month including ad spend, or roughly $3,000 to $6,000 for a US or UK company. The same scope from a local agency in those markets usually costs two to three times as much, because the senior time is billed at local rates. We deliver remotely from Bangalore with overlap hours for US and UK teams.

The economics are simple: senior strategy, media buying, content and CRM work delivered from India costs 40 to 70 percent less than the same work from a domestic agency in the US or UK, and the platforms are identical. LinkedIn Campaign Manager, HubSpot, Google Search Console and Ahrefs do not care where the operator sits. What matters is whether the person running your account understands your buyer, writes in clean English, and shows up in your time zone for the weekly call.

What we fix that offshore work often gets wrong: accounts are created in your name, never ours, so data and audiences stay with you; content is written by people who have read your product documentation and sales calls, not spun from a keyword; and reporting is in your CRM, in your currency, on your pipeline stages. We quote in USD for international clients at the published rate card, and the scope is written before the first invoice.

The honest limitation: we do not do outbound calling or SDR staffing. We build the demand engine, the content, the paid channels and the CRM automation that make your sales team's calls warmer, and we support outbound with a Sales Navigator playbook and sequences at the Scale tier.

B2B buyers increasingly start with a question to an AI assistant: "best invoicing software for Indian startups", "alternatives to X for a 50-person team". The answer is assembled from pages that state a clear, sourced answer, comparison content, category listicles and consistent entity information across your site, LinkedIn, G2-style directories and press. If your site has no page that plainly answers the question, you are not in the answer.

Our AI-search work for SaaS runs alongside SEO: answer-first pages for each core use case, comparison and alternatives pages with honest feature tables, FAQ and schema markup, original data or a small research report each quarter that other sites and models pick up, and outreach to listicle and directory pages that models already cite. Progress is tracked with a monthly AI-visibility check across ChatGPT, Perplexity, Gemini and Google AI Overviews for your target prompts.

None of this replaces the fundamentals. A slow site, thin product pages and no reviews will not be cited by a model any more than they will rank on Google. The sequence is technical fixes and bottom-of-funnel pages first, then the content and entity work that earns citations over 3 to 6 months.