SearchUnify for
Customer Success

Personalize Customer Onboarding

Leverage SearchUnify’s ML and NLP to create dynamic, personalized profiles for each customer based on their role, search behavior, purchase history, and product maturity at scale. Then, suggest content accordingly to create a relevant and tailored UI, thereby delivering a connected and intuitive experience.

Deliver Intelligent Self-Service Experience

Empower your customers to find information on their own in an effortless and smart way. Leverage automatic and manual tuning to fine-tune search results based on keywords, content sources, popularity, article age, etc., so that relevant content always surfaces on the top. Additionally, pin recent bug fixes and trending articles at the homepage to maximize engagement.

Drive Product & Feature Adoption

Gain actionable insights into the features that are being used and ignored by your customers. The advanced algorithm leverages the ultimate goal of the customer w.r.t. product purchase and their journey before and after the purchase to recommend the best features that help achieve those goals. After all, a well-timed nudge can work wonders by sparking curiosity and boosting engagement for the entire product.

Ensure Proactive Support

Stay abreast of what your customers say on social media, online community, review portals, etc., with sentiment analysis. Identify behavioral triggers and negative sentiments to take preemptive measures and fix a problem before it becomes a blunder.

Provide Contextual In-Product Support

Rid your customers of the swivel-chair effect and provide them the help they need inside your app or product by integrating fragmented silos. Empower them to self-serve by ensuring personalized content recommendations. However, if additional support is still required, then give them an option to request it right then and there, so they can get things done without switching tabs.

Identify Upsell & Cross-Sell Opportunities

Monitor customer journey to identify sweet spots where you can make a new product or feature recommendation. With predictive analytics, you can gauge the customer’s likelihood of responding to such offers, thereby functioning as a potent tool to drive upselling or cross-selling.