CASE STUDY: Invest Online

Strategic Filtering: Eliminating Low-Value Leads Through Tiered Offline Conversions

Executive Summary

Invest Online optimized their Google Ads performance by transitioning from a volume-centric approach to a Value-Based Bidding (VBB) model. By “bucketing” leads based on investment potential and importing these brackets as Offline Conversions, the company successfully eliminated deals below their minimum threshold and significantly increased their acquisition of high-capital investors.

The Challenge: The Cost of Small Deals

Before implementing Offline Conversions, Invest Online’s Google Ads account was optimized for “Leads” without distinguishing the financial capacity of the prospect. This created two major inefficiencies:

  • Resource Drain: The sales team was overwhelmed by inquiries that were “too small to work with,” wasting valuable time on leads that did not meet the company’s minimum criteria.
  • Algorithm Misalignment: The Google Ads algorithm naturally gravitated toward easier, lower-value conversions, as they were more plentiful and easier to acquire than high-net-worth individuals.

The Solution: The “Value Bucket” Strategy

We implemented a sophisticated feedback loop that categorized leads into specific “brackets” within their CRM before pushing that data back into the Google Ads platform.

The Strategic Framework:

  1. Lead Enrichment: Upon form submission, leads were instantly funneled into a CRM (e.g., Hubspot, Pipedrive, or Zoho) via a third-party connection (Make/Zapier).
  2. Tiered Classification: Based on 1st-party data (such as liquid assets or investment goals), leads were automatically sorted into “buckets”:
  • Tier 1 (Below Minimum): Leads that do not meet the working threshold.
  • Tier 2 (Qualified): Standard value leads.
  • Tier 3 (High Value): The ideal, high-capital investor.
  1. Algorithmic Training: Only Tier 2 and Tier 3 leads were imported back into Google Ads as conversions. By assigning significantly higher values to Tier 3, we instructed the Smart Bidding algorithm to prioritize users who shared characteristics with high-value investors.

The Results: Quality over Quantity

The implementation of this “bucketed” offline conversion strategy resulted in a complete transformation of the account’s lead profile.

The “Bottom Line” Impact

The shift to Offline Conversions allowed Invest Online to stop paying for leads that were not a fit for their business model. By training the algorithm to ignore “small” deals and “hunt” for higher value, the client has seen a more profitable and streamlined sales pipeline, allowing for higher revenue per client and more efficient use of marketing spend.

Implementation Spotlight

  • Strategy: Value-Based Bidding (VBB) with Bracketing
  • CRM Connection: Automated CRM to Google Ads loop
  • Optimization Goal: High-Value Deal Acquisition