Twitter Case Study: Tasting Room Traffic Fueled by 1:1 Marketing
3 years, 4 months ago Posted in: Uncategorized 0

twitter case study

Inner Architect recently compiled findings from a 12-week project we completed a few weeks ago for a boutique Napa Valley winery. Using aCRM tool, we tracked all our efforts and measured the results. The rates in which we converted messages to visitors–unheard of in email or postal campaigns–speaks to the power of targeting, personalized messages, and most importantly, 1:1 marketing.

We were working with a small budget that afforded only an average of 7.5 hours of time per week. Our goal was to generate traffic to the tasting room during the week, Monday through Friday only. We recommended that we could be most effective with a special offer, so we ran with a complimentary tasting for 2 offer.

A CRM approach to this project provided us with the ability to measure the results of our campaign. Anyone who says that you can’t measure the ROI of social media simply hasn’t thought out the measurement points and set up a disciplined system for tracking.

Our CRM reports tallied that we made 260 unique offers in the 12-week period. These 260 offers were not mass blasts into the general stream. They were targeted messages delivered via Twitter’s @mention feature to prospects we identified using Twitter search.

We sent 84 people to the tasting room, with an average of 3.4 people per visit. That’s a gross conversion rate of 32% generated from 25 users, or a net conversion rate of nearly 10%. Anyone who has experience measuring email or postal campaigns understands that these rates are untouchable in the “traditional” channels.

By keeping track of our efforts, we were able to uncover a key indicator that a prospect will convert to a visitor. Comparing the response rates of the group that visited the tasting room to the non-visitor group enabled us to see that 84% of the visitors responded to our first tweet effort versus only 26% of the non-visitors.

What this possibly points to is an opportunity to increase ROI by investing time only in prospects who respond to our first tweet and shifting more time in searching for targeted propects.

Original Article written by: Susan Hanshaw

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