Neysa
Driving demand and attribution clarity for a complex AI cloud platform selling to multiple enterprise stakeholders.
" he entire marketing investment was recovered through a single client billing. This validated our go-to-market approach completely. "
Neysa Team
Enterprise AI & Cloud
Enterprise accounts tracked
via account-level attribution
Multi-channel influence mapped
across SEO, Google & LinkedIn
Sales-ready inbound conversations
from high-intent companies
1Context
Neysa is an enterprise AI cloud platform offering GPU infrastructure, inference services, and AI acceleration solutions for large enterprises and deep-tech teams in India.
Their buyers range from CTOs and ML engineers to procurement and business leaders.
2The Real Problem
Neysa operates in a highly complex B2B category:
- AI infrastructure is hard to explain simply
- Buying decisions involve multiple stakeholders
- Sales cycles are long and non-linear
At the same time:
- Traffic existed, but intent quality was unclear
- Attribution across SEO, Google Ads, and LinkedIn Ads was fragmented
- The team could not confidently answer: which channels were actually influencing pipeline
3Why This Mattered
Without clarity on:
who was engaging
from which accounts
through which touchpoints
Scaling spend or content would mean guesswork, not growth.For a high-value enterprise product, that risk was unacceptable.
4Our Thinking
Instead of treating SEO and Ads as lead machines, we treated them as stakeholder education and intent-mapping channels.
Our approach focused on:
- mapping content to technical and business personas
- aligning paid and organic efforts across the buyer journey
- solving attribution first, not last
Only after this foundation did we scale execution.
5Execution
SEO
- Built intent-driven content clusters around AI infrastructure, GPUs, inference, and enterprise AI adoption
- Created pages tailored for technical evaluators as well as business decision-makers
- Focused on discovery across Google and LLM-driven search behaviour
Google Ads
- Ran tightly controlled search campaigns focused on high-intent AI infrastructure queries
- Avoided broad awareness waste and prioritised relevance
LinkedIn Ads
- Targeted decision-makers across enterprise accounts
- Used content-led campaigns to support longer consideration cycles
Tracking & Attribution
- Implemented Factors for account-level identification
- Connected anonymous traffic, known leads, and CRM data
- Enabled visibility into which companies were engaging before form fills
6Measurement & Attribution
Instead of last-click metrics, success was measured through:
- account engagement
- channel influence on pipeline
- repeat visits from target companies
- alignment between marketing touchpoints and sales conversations
This allowed Neysa to finally trust the data behind marketing decisions.
7Outcomes
- Clear visibility into which channels influenced enterprise accounts
- Better alignment between marketing and sales conversations
- Improved quality of inbound discussions
- Confidence to scale content and paid efforts strategically
8What This Proves
Complex B2B products do not fail due to lack of traffic. They fail due to lack of clarity across stakeholders and attribution.
9CTA
If your product has a long sales cycle and multiple decision-makers, this approach applies directly.