How Appmixer automates prospect qualification with AlgOps

Appmixer, an embedded integration platform as a service (iPaaS), transforms API-only products into fully no-code apps, thus becoming universally accessible and integrable with any tool within just four weeks, significantly broadening its customers’ market reach. Appmixer needed to scale its acquisition strategy by automating the qualification of potential clients (prospects) based on its newly refined market positioning.

Challenge | Backing up Appmixer's solution fit with data

Appmixer had a perfect definition of its ideal client profile (ICP) — API-only products from specific verticals with little to no native integrations. However, the challenge was to back its definition up with proper data at scale.

Solution | AlgOps provides data to forecast ICP scores

AlgOps set up a scalable sourcing, enrichment, and forecasting system for Appmixer. Key steps included:

• Sourcing: Extracting companies from software comparison websites such as G2 or Capterra to create an initial list of target companies.
• Keyword Search: Identifying relevant keywords on company websites to filter out irrelevant companies.
• AI-Powered Research: Enriching company profiles to determine their business model, progress with third-party integrations, and adoption of no-code environments.
• Third-Party Tools Enrichment: Adding general company data for big picture segmentation.
• ICP Forecasting: Calculating an ICP score by comparing these data points to Appmixer's current customers in order to prioritize companies for outreach.

Results | Unlocking scalable account research with AlgOps

Using AlgOps, Appmixer automated prospect qualification by forecasting solution fit. Now, its outreach is backed by data, and its team no longer has to devote time and energy to account research.

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