First deals within 3 months, from scratch…

Summary

LLMOps SaaS startup Langtail had to shift its go-to-market strategy to sell complex tooling to larger accounts, but the team had no outbound experience. Langtail engaged AlgOps and its partners SalesGen Agency and Saleshero to develop a tailored outbound strategy based on a single case study. Using AI, AlgOps enriched and qualified thousands of companies segmented by use case to deliver hundreds of hyper-relevant accounts for the campaign. After starting from scratch, Langtail closed its first deals within 3 months.

‍

Challenge: Shifting to Sales-Led Growth in LLMOps

Langtail, an all-in-one toolset for SaaS companies developing and implementing AI features based on LLMs like OpenAI or Claude, was facing a new market landscape. Their previous startup, Avocode, had grown purely via inbound in a different market with a smaller competitive landscape. Yet as Langtail developed high-value tooling for larger businesses, the founding team recognized the need to adapt their go-to-market strategy to compete in the rapidly evolving industry of LLMOps and AI tooling.

Essentially, Langtail had to shift from its product-led growth strategy because  it was no longer selling inexpensive, product-agnostic tools to small companies. Instead, it wanted to deliver tools that were tightly integrated into its customers’ core operations. Yet that meant that it had to persuade multiple stakeholders within a given company to commit to a more substantial contract.

Langtail approached AlgOps with a challenge: make outbound work fast.

‍

Solution: Using AlgOps to succeed in a niche with outbound sequences based on a specific case study

Building on the success of a previous customer story with Deepnote, AlgOps immediately developed a tailored go-to-market strategy in collaboration with its sister company SalesGen Agency and its partner Saleshero. First, SalesGen crafted a highly specific ideal customer profile (ICP), case study concept, and outreach sequence.

Then, AlgOps took charge and prepared custom target account list.

The ICP and account list were generated based on:

• Confirmation that accounts are SaaS providers
• Identification of AI features such as “Generating code and formulas,” “Generating text and unstructured content,” and “Analyzing structured data”
• Evaluation ofthe potential for LLM integration with each account’s products and operations
• Assessment of companies’ financial runways based on finance data including funding

This data was integrated into an ICP scoring algorithm and enriched with key decision-makers' names, LinkedIn profiles, and valid email addresses. Then, Saleshero provided Langtail’s team with custom sales training to ensure they were equipped to generate and close deals effectively.

‍

Results: Closing deals within 3 months

AlgOps enriched and qualified approximately 3,000 companies segmented by use case to deliver over 500 hyper-relevant accounts for Deepnote’s case study in the first phase. The remaining 2,500 accounts are earmarked for other use cases and case studies.

If Langtail had done this research manually, it would have taken at least 250 hours — virtually two months of work for a full time employee. With AlgOps, Langtail had filled pipeline with opportunities in the same time, i.e. before two months were up.

‍