Note how social media engagements (green) are trending exponential while the total number of posts (light gray) has remained relatively steady. Since each post is receiving more engagements, we’re extracting more and more value from each one. Not only are we boosting the efficiency of our marketing efforts, this is a good indication we’re creating content that’s well aligned with this audience’ interests.
Also, note the number of times we’ve been able to fine tune audience models and make high-impact adjustments. When engagement begins going down, we know we need to make some adjustments. Once that’s done, the trend reverses course, sometimes dramatically.
How does GoConvert help?
By combining the self-sufficiency of an application with the expertise of an agency, GoConvert uses four actions to help customers quantify results, maximize ROI, and achieve their marketing goals.
GoConvert uses all available data resources — social media intel, Google Analytics, prospect data, and other digital signals — to continually fine-tune our customers’ audience models. We always know whom we’re speaking to and how well we’re resonating with them.
GoConvert uses audience intelligence to build highly-relevant marketing collateral. This helps ensure content topics, social media channels, and ads align with known audience variables. Now, marketing spending has the potential to generate exponential returns.
Lead Generation & Nurturing
We use audience-specific lead-generation tools to generate a steady stream of inbound leads. This allows customers to nurture prospects along a well-defined conversion path and creates additional front-line intelligence we can use to fine-tune our various audience hypotheses.
Measuring, Analyzing, Reporting, Learning & Fine Tuning
We use engagement data and other digital signals to constantly learn from our marketing efforts and improve our audience models. This allows us to fine-tune collateral resources, improve lead generation, hone conversion workflows, and improve overall marketing efforts (on- and offline).
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