Enhancing Business Operations with Sellense

This document provides a structured overview of the functionalities and processes within the Sellense application, aimed at boosting sales efficiency and client interaction. It guides through the various features and strategic methodologies employed to understand client behavior, enhance engagement, and optimize conversion rates.

Step 1

Begin by exploring the Sellense app. The homepage offers an overview where managers can track new leads, conversion rates, escalated conversations, average intent scores, monthly revenue, and suggested actions for sales personnel. It also includes objection intelligence to refine sales and marketing flows, risky accounts, scheduled follow-ups, agent performance, and more. Let's delve into a couple of practical use cases.

Step 2

Consider the checkout scenario. For example, a client initiates a checkout on an e-commerce site, like a headphones company, and then abandons the process. Similarly, a client might start the onboarding process on an educational website but decides to stop for some reason.

Step 3

To re-engage these clients, we send messages via SMS or WhatsApp, initiating a conversation with them.

Step 4

Every conversation aims to comprehend the client's actual needs and motivations, addressing any objections they might have.

Step 5

We gain insights into each client to understand their unique characteristics.

Step 6

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Step 7

We analyze the client's engagement level, noting whether they use many emojis or prefer long or short texts. This helps us tailor the messages we send.

Step 8

Each message's persuasive score is also evaluated to boost the chances of client engagement and eventual purchase.

Step 9

Our management of the client relationship is comprehensive. The deal management feature updates in real-time, tracking the conversation state and whether the client has stopped responding.

Step 10

The conversation summary and purchase intent aid AI agents and sales personnel in determining which leads require more or less attention, significantly enhancing conversion rates. For every interaction, we ensure proper follow-ups.

Step 11

Here, you'll see follow-ups suggested for sales agents. We constantly analyze conversations and either dispatch automated follow-ups based on the conversation's context or alert the agent to execute a follow-up. This system efficiently escalates messages prepared by AI to human agents at the appropriate moment, thereby improving conversion rates by maintaining persistent engagement until purchase completion. Managers monitor these operations to gauge company performance.

Step 12

Managers track various metrics: the number of opportunities, outbound interactions, and inbound queries, observing an engagement rate exceeding 40%.

Step 13

They also assess strategies to boost the Average Order Value (AOV) and total revenue, effectively automating the sales layer.