In this Korean‑language tutorial, the speaker (identified as a marketing specialist) addresses the common pain point of spending excessive time—about two hours daily—on managing online product reviews. He shares a four‑step automation framework that he claims reduced his own review‑management workload by 70% and dramatically boosted marketing performance. 1. Automated Review Collection – Use a tool (named “Saphir”) to pull reviews from major Korean e‑commerce platforms—Naver, Coupang, and Smart Store—directly into a Google Sheet, eliminating manual copy‑pasting. 2. AI‑Driven Review Analysis – Feed the collected reviews into ChatGPT, extract the most frequently mentioned customer keywords, and incorporate those keywords into advertising copy; the speaker reports a 40% lift in conversion rates when doing so. 3. Social‑Media Auto‑Posting – Build a “Shamba” template (a pre‑formatted post) and automatically publish positive reviews to social‑media channels, keeping brand reputation fresh without manual effort. 4. Automated Review‑Request Emails – Three days after purchase, trigger an automated email that asks for a review and offers a discount coupon; this reportedly triples the volume of incoming reviews. The speaker advises viewers to start with step 1 (automated collection) as the foundation, and invites anyone with marketing challenges to contact “Marketing Doctor” for further assistance.
