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MDS Summit Singapore

Event DateAugust 23-26, 2026
LocationSingapore
Attended AsSpeaker / Presenter
Speaker NameMeher Patel
Meher Patel, Founder of Hector Ai, speaking at MDS Summit Singapore - 01

Event Summary

MDS Summit Singapore brought the Million Dollar Sellers community together in Asia, giving Amazon sellers and eCommerce founders in the region a chance to connect with the same caliber of strategy and networking that the MDS events are known for globally.

Meher Patel joined as a speaker, introducing a topic that speaks directly to a problem most advertisers quietly struggle with: knowing what actually happened after they made a change to their campaigns.

What Meher Patel talked about

Meher introduced Hector MCP's Change History, a tool built to track and grade every decision made inside an Amazon Ads account, from a bid tweak to a budget shift to a new placement strategy. Instead of just logging that a change happened, it connects that change to what happened next.

Think of it like a fitness tracker, but for your ad account. You see whether it actually helped, using change-interval and matched-window analysis to compare performance before and after. Meher walked through how this approach helps advertisers identify the real revenue and spend impact of their decisions, turning a long history of small tweaks into clear, measurable business outcomes.

Why this one matters for Hector Ai

Most advertisers make dozens of small changes to their campaigns every month, but very few can say with confidence which ones actually worked. Introducing Change History within Hector MCP positioned Hector Ai ahead of a gap that most tools in the space haven't addressed yet.

It also extended Hector Ai's presence with the Million Dollar Sellers community into a new region, building on the relationships started back in Milan.

Agenda

  • Introduction to Hector’s Change History MCP
  • Tracking and grading Amazon Ads changes and decisions
  • Measuring the impact of bids, budgets, placements, and campaigns
  • Identifying revenue and spend impact from advertising changes
  • Change-interval and matched-window analysis
  • Turning change history into measurable business consequences

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