
How to Generate Leads Via Data Conversion?
Do getting leads seem a tug of war?
It might look like a war, but still you can have them. It won’t be just one, but in hundreds. We live in the digital era wherein data roll out patterns to make more and more sales.
Yes! It’s the data that generate a customer base for your brand. Having a ton of online or offline data means that you have the essentials to churn out for customer profiling. You can exploit it to the fullest. Eventually, what you’ll have is a plan to reach to the target audience. Later, it would convert into revenue.
Digitization is in the nascent stage. A plenty of offline data is still there for conversion. Now, you can imagine how many leads you will have if you convert the entire offline data.
Why am I emphasizing on the data conversion?
Its answer underlines these benefits of the datasets:
Customer Profiling:
Have you ever thought of how various brands come with discounts on your favourite commodity? It’s no magic. Rather, it’s a pure science of data analytics.
Think of a scenario. A customer logins and buys a product on an online storefront. In that eCommerce store, it would be a lottery to strike out the potential sales strategy. It would have a name, address, method of payment and the purchase history.
Now, you need to extract the customer profile. Yes! You have the main ingredients to assess of. Thereafter, you can define how to interact with him in future. You can spot a trend from that particular customer profile. It’s easy. Just browse the profile of those customers who purchased the same product. Whatever accessories or complementary/supplementary products they had bought at the same time, that history would help you to derive the trend.
Based on those facts, you can shortlist the suggestions to target a particular customer. Likewise, you can convert an offline line to analyze it. Finally, you can arrange those bits of information to create an irresistible suggestion list for your target audience.
Loyalty & trust:
Creating a customer profile determines that you are dedicated to building up trust. A list of suggest driven from the collated history of similar purchases by different customers will delight the customer. It will develop a sense that you understand his instinct. He would love the way you anticipated his wants and needs. But, it will only happen when your analysis would be deep and appropriate.
This sense of trust sets up a loyalty. More likely, he would browse only your website to make similar purchases. But, you need to be cautious while tailoring a target plan. It should not be so loud. The customer takes it an over-personalized offering. Don’t let him feel that you want to sell something. Instead, let him realize that you care for him.
Spend some time to contribute efforts, time and resources. Thereafter, come up with a plan that he actually look for. The big brands, like Range Rover, launch luxurious cars. Despite sky rocketing price, people love to spend on it. Why?
Simply, it’s because they want the guarantee of life, seamless ride while being in a comfort zone. It builds trust and loyalty blooms automatically.
Similarly, the customer profiles in the offline data can ensure loyalty, if it’s utilized appropriately. You will have your own community of buyers then.
Preferred offer:
Big data plays a key role in marketing, today. You have an easy access of the source that informs marketing decisions.
The customer profile would automatically tell what your customer buys, what payment method he prefers, and how many times he visits your website. Thereafter, it’s your responsibility to make them fall in love with your online store.
A simple and catchy message as “HDFC offers 20% discount on your favourite T-Shirt. Offer valid today only! Hurry!” would develop a sense of urgency. The target audience will feel the personalized touch. Once you convert your offline data, you would be closer to cater the preference on the basis of the purchase history.
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