| Your personal background. |
|---|
Then, it gives you the details of your transaction. But something more interesting is happening on the right side of the
email. This is a brilliant example of engaging order confirmation emails because Cult
Beauty knows that its customers are not the same.
That’s why it guides them to places of different engagement levels, with compelling reasons.
Follow Cult Beauty’s example to send new customers back to your website without coming off as too salesy.
Encouraging repeat purchases is one way to make more revenue out of your order confirmation emails.
Firebox, on the other hand, follows a different path and focuses on referrals.
In this email, Firebox simply informs you that next up is dispatch and appreciates you for being a customer in a friendly tone.
While asking you to tell your friends about them, the company
clearly writes the incentive for both parties. Just when you bought a
bunch of new items and heard all the nice words from Firebox, why wouldn’t you
tell your friends about them?
That’s intentional. The reader has to open the message to find out what he or she
is needed for. This tactic requires some (light) cyber stalking.
If you know where the prospect works from, you can search for a highly rated restaurant near his or her office.
Then, you can request a meeting with them at this neutral location. If you’re lucky, you’ll land on the prospect’s favorite lunch spot,
and it will be that much harder to turn down the invitation.
In the modern business landscape, networking is everything.
When you have the right connections, doors open more easily for you.
This subject line plays on the recipient’s desire to expand his
or her professional network. Of course, it works best if you actually want to include him or
her in your network - this isn’t a good option for a B2B sales email.
Goodbyes are difficult. They can also be confusing, if you don’t quite remember when you met the person in the first place.
Additionally, we link the critical threshold to the spatial network to identify the corresponding critical roads whose disruption will likely trigger
the rapid critical facility accessibility loss.
This result will facilitate the decision-making on targeted infrastructure protection.
Moreover, we map the number of critical facilities that each network
component has access to within reach and reveal the resource redundancy inequity and risk disparity
across the network. Integrating with the social vulnerability mapping,
our result can help inform the resilience planning toward an equitable community.
Urban Climate, Volume 24, 2018, pp. Coastal Flood Risk Reduction, 2022, pp.
Jamie E. Padgett, … We use cookies to help provide and enhance our service and tailor content and ads.
By continuing you agree to the use of cookies.
All content on this site: Copyright © 2023 Elsevier B.V., its licensors, and contributors.
All rights are reserved, including those for text and data mining, AI training, and similar
technologies. For all open access content, the Creative Commons licensing terms apply.
2014), in the final step of risk assessment, the expected
damage of the risk element was estimated first by combining replacement values assessed for the elements and then following the
stage-damage function. The following equations were followed to estimate expected damage.
D is total direct property damage per cell of the raster
map, ‘vul’ is the vulnerability value per cell which is the function of Depth (DP) in meter and
duration (DR) of inundated land in days, A is the area of each cell in sq.m and P is the property value in monetary terms
of each cell. Here, ED is the expected damage and T is the return period of
flood. Property value data per hectare of each land use
class were collected from the field survey.
Data on average unit prices of houses and cropping land under the present
circumstances were collected from the field survey. After that,
a land use-based raster map showing the monetary value
for each land parcel was prepared (Economic Value in Fig.
3). Direct damages to properties of economic units were classified
as settlement and agricultural damages (Vulnerability in Fig.
3). Then, the expected damage value was classified into several defined classes using GIS environment (Expected Damage in Fig.
3). The single output map algebra in Fig. 3 was the product of
direct property damage (D) divided by return period pf flood (T).
Here is my web blog :: "https://sustainabilipedia.org/index.php/User:ShelbyWurfel5 |
| Your feedback on this profile |
|---|
| Recommend this profile for User of the Day: |
I like this profile |
| Alert administrators to an offensive profile: |
I do not like this profile |
|
| Account data |
View |
| Team |
None |
|