A visitor finds your site using a common keyword in your industry. They land on your home page via their smartphone, open the home page, and quickly find your business phone number. The number is properly linked to automatically call when they click on the phone number. The prospect speaks to your talented inbound team who quickly closes them.
Unfortunately, it’s not great news. Your phone number is hard-coded in your web template. As a result, you have no idea where the visitor came from and which campaign, if any, to attribute the closed sale to. If you had implemented a call-tracking solution, you’d have a much different story. The user would have landed on your site and a new phone number would have been dynamically generated based on the keyword in the search campaign. The person would have called that number, the call would have been registered in call analytics, and the sale would have been properly attributed to the keyword and search campaign.
While this was an optional luxury for enterprise corporations years ago, call tracking and analytics are now affordable solutions. Compound the cost with smartphone behavior – which is skyrocketing – and it’s time for you to adopt this technology! Don’t believe me? Here are 7 critical statistics that support adoption of call tracking:
- Mobile search growth is projected to generate 73 billion calls to businesses by 2018 Tweet This!
- 61% of survey respondents say click-to-call is key in the purchase phase of shopping Tweet This!
- 70% of mobile searchers use click-to-call to connect with a business directly from search results Tweet This!
- 79% of smartphone users use local search, 89% once per week, 58% at least daily Tweet This!
- 57% of people call because they wanted to talk to a real person Tweet This!
- Businesses have received a 19% rise in call volume year over year Tweet This!
- Inbound phone calls convert 10-15 times more than web leads Tweet This!
As CallRail puts it, your prospects are already on the phone. The question is whether or not they’re calling you and you’re tracking it.
Consider why machine learning and predictive analytics can provide top- and- bottom- line value to organizations like yours with the right tools, training, and processes for a range of objectives and use cases.