Successful demand generation requires a strategy. Not just any strategy, of course, but one based on a metrics and processes.
In this blog post I offer some ideas on how to develop a data-centric demand generation strategy that works.
1. Buyer-centricity—strive to understand buyer prospects both in terms of their role as individuals and also in terms of their part in the collective buying process. A useful exercise is to develop personas that represent each buyer and include the influence vectors that inform the relationships between personas within the context of the buying cycle. It is then possible to structure the conversation threads that will inform the content strategy.
2. Content—“content is king” is only useful within the context and planning that make content relevant to the audience. Within the context of a demand generation strategy, this translates first into understanding the content consumption patterns of the target audience. Where do prospects consume information and at what stages of the buying cycle: search, social, peers, analysts? This understanding leads to content strategies with specific assets and media vehicles that are relevant and timely.
3. Research—reach out to current customers, including detractors and advocates, and interview them. Ask them about their influencers, buying processes, decision-making processes and so on. And you can also ask your salespeople the same about their customers to get additional insights.
4. Lead nurturing—with an understanding of the audience, relevant dialogue threads and business processes, and a content strategy in place, lead nurturing then comes into play. The process of building programs that successfully marry insights and operations is both an art and a science. The key success factors include the length, depth, and breadth of the content being offered; the logic that determines how a prospect moves through the buying cycle; the cadence of offerings; and, perhaps most important, whether the program is perpetual.
5. Analytics and optimization—analysis of the data gleaned from marketing efforts can provide real value to validate, refine, or change a demand generation strategy completely. Segmentation and testing are two examples. Consistent, results-oriented optimization of demand generation programs is a key factor in extracting the greatest possible value from them.
6. Sales readiness—work with your sales reps to develop frameworks that help them have relevant, highly targeted conversations with qualified prospects. The insights gleaned from the proceeding items on this list should also be made available to your sales team to use as part of these conversations.
Thanks for reading. Do you agree with everything on this list?
Did we leave anything off?
Leave us a comment or question.
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