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Home Technology Marketing Technology Data / Analytics Harnessing the Power of Intent Data and Predictive Analytics

Harnessing the Power of Intent Data and Predictive Analytics

November 17, 2015 By Jonathan Jeter Leave a Comment

Harnessing the Power of Intent Data and Predictive Analytics
Michael Mire, SweetIQ

Local search is the ultimate indicator of intent.

  • We’re doing it all the time. (4 in 5 consumers use search engines to find local information.)
  • We’re doing it more and more. (Google search interest in “near me” has increased 34x since 2011.)

We’re on our way to online to offline (O2O) direct attribution.

  • geo targeting / geo fencing
  • beacons
  • redemption / purchase in a store

Today, there are lots of moving parts, which makes it look a lot like Swiss Cheese.

  • estimote (beacons)
  • RetailNext (wifi analytics)
  • xAd
  • Placed
  • NinthDecimal
  • NOMi

You’re only able to track <3% of the market today, so it’s difficult to create a reliable model.

Build an O2O attribution funnel / model.

  • Impressions – number of times your stores appeared in local search
  • Local Search Behaviors (LSB) – amount of website referrals, calls, and driving direction requests (microtransactions)
  • Conversions – percentage of click throughs that result in an online visit or an in-store visit.
  • Sales – percentage of conversions that actually result in sales

O2O sales mimic online results.

Step 1 – monitor LSBs

Direct Attribution

  • coupon/offer
  • reservation
  • download
  • e-commerce
  • beaconing (in the future…)

Indirect Attribution

  • Finding a Local Listing -> see and go!
  • Click for call
  • Click for directions
  • Leave reviews
  • Mobile/Geo-targetd Ads

Step 2: Track in-store conversions

Local Search

  • 68% connected with the business
  • 71% visited the business
  • 18% purchased

Step 3: Know your average purchase value

Know what the average visit in store converts to.

Step 4: Track the performance over time

The model may not be perfect, but if you can track over time, you can see

Step 5: Calculate your local revenue

Step 6: Calculate Local ROI

ROI = Local Revenue / Program Investment

Case Study – Chuck E. Cheese

Local Search Behaviors

Online to Offline Attribution Model

Impressions – Local Search Behaviors – Conversions – Sales

Target ads based on location

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Filed Under: Data / Analytics Tagged With: attribution model, case study, click throughs, ClickZ Live Chicago 2015, conference notes, czlchi, google search, local information, local search, Search Engine, Search engine optimization, Search engines, Web search engine

About Jonathan Jeter

Jonathan Jeter has been creating websites since 1997. He is currently Director of Technology Services and Digital Development at TracyLocke, a shopper marketing agency. You can follow him @mywebthoughts, on LinkedIn or connect on Google+.

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