Instaset DM Automation

The author connected Instaset for a client with 550,000 Instagram followers. The client had received around 60–80 daily messages about partnerships, content and sales pitches, consuming time needed for creation and brand discussions.

The system qualifies brand inquiries and books calls, answers content questions and responds to unsuitable pitches. The author reports 461 messages handled the preceding week. Assuming 90 seconds per message gives approximately 11.5 hours of manual handling.

The author says the client used the released time to make eight pieces of content, attend six brand calls and close three partnerships totaling $18,000. Monthly client revenue reportedly rose from about $15,000 to $40,000. All these revenue figures belong to the client. Provider fees were undisclosed.

Results and causal explanations are self-reported. The archive contains no message logs, contracts or revenue dashboards. The explicit 461-message and 90-second assumptions are the basis for the time estimate.

Route partnership inquiries, questions and pitches by intent so the creator can prioritize valuable conversations.

Time savings depend on an assumption. Client revenue and provider revenue have separate attribution, and the full growth cannot independently be attributed to automation.