increase open rate using behaviour data - case study

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Increase Open Rate – using behaviour data + case study Tamás Kálmán [email protected]

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Increase Open Rate using behaviour data - case study - presented at TFMA - London 2014

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Page 1: Increase Open Rate using behaviour data - case study

Increase Open Rate – using behaviour data+ case study

Tamás Kálmán

[email protected]

Page 2: Increase Open Rate using behaviour data - case study

Todays Menu

- WHY the subject line matter ?

- WHAT the subject line should be ?

- WHEN to send the email ?

- HOW to increase relevancy ?

- CASE STUDY – WWW.004.DE

Page 3: Increase Open Rate using behaviour data - case study

The WHY !

- Last year 44% of email recepient made at least 1 purchase based on EMAIL.

- The FROM is your creditability, who you really are

- Subject line is (one of) the KEY for opening your email

Page 4: Increase Open Rate using behaviour data - case study

The Ingredients

- Sender: FROM is your creditability, who you really are

- Don’t confuse your audience! Make it clear!

- TO : Your recepient

- Where Quality is better than Quantity

- Subject line is (one of) the KEY for opening your email

Page 5: Increase Open Rate using behaviour data - case study

The WHAT !!!

- 50 character or less

- Personal

- Timely

- Convey Benefit

- High Affinity to brands/experience/activity

- Valuable Information

Page 6: Increase Open Rate using behaviour data - case study

Personal - Me, Me, Me !!!

- People think of themself first...and the most too.

- Thank you [your name], for your last purchase

- Join us in [city you live] tomorrow

- Exclusive [company name] offer, extended for you too

- What [your industry people] need to know

Page 7: Increase Open Rate using behaviour data - case study

Timely

- „Your February website stats”

- „Eagle’s Nest Camp – important travel information”

- „Invitation for Smith and Johnson’s Snow Ball”

- „Open houses in Mountain View, CA”

Page 8: Increase Open Rate using behaviour data - case study

Time sensivity

Source: Neel Shivdasani, Mailchimp

Page 9: Increase Open Rate using behaviour data - case study

Benefit – What’s in it for me?

- Show VALUE in the first 2 words !

- „Top 10 rules of...”

- „Your copy..”

- AVOID hard sell !

- „Buy now”

- „Must See Offer”

- „Everybody wants to buy but no one wants to be sold”

Page 10: Increase Open Rate using behaviour data - case study

Affinity word cloud

Page 11: Increase Open Rate using behaviour data - case study

Subject line DATA – www.004.de

Page 12: Increase Open Rate using behaviour data - case study

004.de case study – energy affinity segmenting

- Selected those who opened or clicked ENERGY SAVING related words

- Created relavant offer to Affinity and Reference group

- And the results:

- 68% open vs 44% open

Page 13: Increase Open Rate using behaviour data - case study

004.de case study

Page 14: Increase Open Rate using behaviour data - case study

• PersonalizationEach newslettersubscriber will get most relevant keywords ofstatic newslettercontent in thesubject

• Result15% lift in conversion

NewsletterSubscriber

Keyword Affinities

Static Newsletter Content

Best fitting Keyword(s) included in subject

Tuner

Epson

WashingMachine

Page 15: Increase Open Rate using behaviour data - case study

The WHEN ?

- Mobile usage UP but Conversion lags Desktop

- Desktop 1x vs Mobile 0,3x

- Goal : Reach your customers on their desktop/tablet to 3x conversion rate

Page 16: Increase Open Rate using behaviour data - case study

Usage pattern

Page 17: Increase Open Rate using behaviour data - case study

Increase relevancy

- Trigger/automated email open rate 45-55% vs 10-12% newsletter

- You set it once and it works automaticaly

- Best ROI !

Page 18: Increase Open Rate using behaviour data - case study

Welcome email (series)

- Send immediately (or ASAP) after sign up

- Reiterate the value of the subscription

- Cross promote

- Social media

- Shop now

Page 19: Increase Open Rate using behaviour data - case study

Abandoned Cart Emails

- Send within 2-3 hour, 1-2 days and 3-4 days after customer leaves items in their cart

- Reiterate the value of the product and answer common objections

- Doesn’t have to be offer based

- Offer similar suggestions

Page 20: Increase Open Rate using behaviour data - case study

Transactional emails

- Cross-sell and upsell with the „receipt”

Page 21: Increase Open Rate using behaviour data - case study

New customer emails

- Send a week after new customer’s first purchase

- Thank them !

- Offer similar or suggested product

- Remember RFM rules

- Where is for R – Reach

- Strike while the iron is hot !

Page 22: Increase Open Rate using behaviour data - case study

New customer survey

- Offer coupon in exchange for a quick feedback survey:

- You are listening to them

- They have earned it, so they use it!

Page 23: Increase Open Rate using behaviour data - case study

Refferal campaigns

- Offer for you, offer for me

- 9-13% conversion rate

Page 24: Increase Open Rate using behaviour data - case study

Inactive win back campaign

- 6, 9 or 12 months without activity

- No opens, no clicks, no login, no buys

- Subject line should be clear

- We miss you, come back

- If they don’t reactivate, move them separate group or remove them

Page 25: Increase Open Rate using behaviour data - case study

Product refill reminder

- Refill suggestion, when the product is about to run out

- Offers are optional

Page 26: Increase Open Rate using behaviour data - case study

Product review email

- Review request after adequate time to use the product

- Use as a form of quick follow up customer service

Page 27: Increase Open Rate using behaviour data - case study

While, we don’t take advantage of these emails

Page 28: Increase Open Rate using behaviour data - case study

Thank you for your attention

Maileon

Tamás Kálmán

[email protected]

Visit us at

www.maileon.co.uk