Inbound Marketing

The best way to turn strangers into prospects and advocates of your business is Inbound Marketing. In this digital age, inbound marketing is fast becoming part and parcel of the overall marketing-mix. Majority of marketers love inbound, for its ‘pull’ approach rather than ‘push’. The business queries generated are usually more genuine and convertible to real sales.

Challenges of data captured through web forms

As the focus on inbound leads has increased now-days, there is a growing need among marketers to keep ‘inbound lead data’ sanitized! Information that is collected from all this sources may not always be accurate; the information can be junk, incomplete, outdated etc. Also, Marketers need to have a check prior to passing any lead to sales as Marketing Qualified Lead (MQL). Otherwise maintaining high acceptance rate by sales i.e. ratio of Sales Accepted Leads (SAL) to MQL, and Sales Qualified Lead (SQL) to SAL is a challenge for marketers.

So bad data negatively impact your inbound lead quality

High rate of sales rejection
Unqualified lead enter your pipeline
Lowers hygiene of overall marketing database mixing junk data with good data

Moreover, another challenge of inbound lead data is that – marketers need to keep then data capture forms (web forms) short to encourage more ‘sign-ups’. But one need certain other details to appropriately score, classify and qualify the inbound leads or queries. So be it details captured through web forms, landing pages, social media or search marketing campaigns; it’s necessary to maintain a balance of depth as well as accuracy of information captured.

SMARTe Data and Inbound Marketing

Thus for marketers, completeness and quality of contact data impacts the overall inbound marketing program. Our lead append solution helps in taking control over your inbound lead management by:

  • Verifying details and filling-up missing data gaps
  • Compiling additional data as required for generating prospect insights
  • Replacing information that is outdated or junk
  • Matching data with prescribed criteria; score, qualify and pass onto Sales
  • Consolidating all lead data into a single format
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