3 phases. 18 months. 19 channels narrowed to 1. 90 days to validate before you build.
The startup growth programme runs across three structured phases over 18 months. Phase 1 validates the primary traction channel and produces the 90-day roadmap. Phase 2 builds the validated channel into a repeatable acquisition engine. Phase 3 scales the primary channel at full investment and adds retention mechanics that convert acquired customers into long-term revenue.
The traction channel methodology identifies 19 distinct channels through which startups find customers. The Bullseye framework narrows these to three to five candidates. Four-week parallel experiments identify the primary channel. The process prevents the most common startup marketing mistake: distributing effort across all channels before any channel is validated. All experiments tracked in GA4.
The 90-day startup growth roadmap defines which traction channels will be experimented on, what the success metric is for each, ICP definition, positioning, and resource allocation. It ends with a channel verdict: primary channel, secondary channel, and channels to drop. Measured against GA4 north star metrics and informed by consumer behaviour analysis.
Go-to-Market, Acquisition Engine, Scale: 18 months from first experiment to compounding growth
Phase 1: Go-to-Market (Months 1-3)
Phase 2: Acquisition Engine (Months 3-9)
Phase 3: Scale (Months 9-18)
Everything Indian founders need to know about startup growth marketing.
The traction channel methodology identifies 19 distinct channels through which startups have found their first customers. No Indian startup can pursue all 19 simultaneously with a small team and limited budget. The Bullseye framework selects three to five candidates based on ICP reachability and Indian market channel economics, runs four-week parallel experiments on each, and identifies the primary channel producing the strongest signal. Seventy percent of marketing resources then concentrates on the primary channel for six months. For Indian consumer startups, WhatsApp referral is often a stronger candidate than the Western playbook suggests. For Indian B2B startups, LinkedIn organic and Sales Navigator outreach outperforms LinkedIn Ads at the same early-stage budget.
Funded Indian startups can invest in channels with 6 to 12 month payback periods, such as SEO, content marketing, and community, because they have runway to absorb the lag. They can also run paid media experiments at meaningful spend levels. Bootstrapped Indian startups prioritise the cheapest-to-test first: direct outreach for B2B, WhatsApp referral for consumer, comparison SEO pages for both. The Bullseye candidate set for a bootstrapped startup filters out any channel with a payback period longer than 90 days until the startup has positive cash flow growth.
Product-market fit is the point where more than 40 percent of active users would be very disappointed if the product disappeared. Before PMF, marketing is an information-gathering exercise, acquiring precisely targeted ICP customers to learn from their behaviour. The goal before PMF is learning, not volume. Running aggressive paid media before PMF acquires customers who churn faster and provide lower-quality product feedback. After PMF, marketing switches to scaling. Oddtusk assesses the startup's PMF stage using consumer behaviour analysis before recommending any paid acquisition investment.
Startup SEO does not begin with head terms, which take 12 to 24 months and require domain authority the startup does not yet have. Oddtusk focuses on three faster-compounding content types: comparison and alternative pages targeting high-intent buyers, problem-aware long-tail queries describing the specific problem the product solves, and integration and use-case pages for SaaS. All three are built using topical authority mapping and produce more qualified traffic per piece in the startup's first 12 months than broad educational content.
The Bullseye framework from Traction by Gabriel Weinberg and Justin Mares is a structured process for identifying the one or two channels most likely to become a startup's primary acquisition engine. Oddtusk applies India-specific calibration: WhatsApp referral and sharing ranks higher for Indian consumer startups; LinkedIn organic content and Sales Navigator outreach ranks higher for Indian B2B; regional language YouTube significantly outperforms English for tier 2 and tier 3 Indian audiences.
Growth metrics depend on the business model. For SaaS: MRR growth rate, trial-to-paid conversion rate, 30-day and 90-day retention, CAC by channel, and NRR. For D2C: first-purchase conversion rate, 90-day LTV, second-purchase rate, CAC by channel, and WhatsApp subscriber opt-in rate. For B2B: pipeline generated by channel, SQL-to-close rate, CAC, sales cycle length, and deal size. All tracked in GA4. See our full growth marketing programme.
Oddtusk has startup growth experience across SaaS (B2B and horizontal SaaS for Indian mid-market and enterprise), D2C consumer brands (wellness, fashion, home, food), fintech, edtech, and healthtech. SaaS benefits most from comparison SEO and LinkedIn outreach, D2C from WhatsApp referral and Meta paid, edtech from YouTube and Google Search.
The 90-day startup growth roadmap is the Phase 1 output defining exactly what the marketing programme will do in the first three months: which channels will be experimented on, what the success metric is for each experiment, ICP definition, positioning, resource allocation, and assets needed. The roadmap ends with a channel verdict: the primary channel with the strongest signal, the secondary channel for months 4 to 6, and channels to drop. All metrics are configured in GA4 from day one, with GTM tracking verified before any spend begins.
