BBOTHEAPP the world first social media gifting APP

BBOTHEAPP introduces a refreshing concept where users can create personalized wish lists, containing items they desire from a wide range of products. Friends, family, and even kind strangers from the BBOTHEAPP community can browse these wish lists and choose to send gifts to the list owner without needing to know their address or phone number. This innovative approach ensures privacy while enhancing the joy of giving and receiving gifts.

The process is simple and user-friendly. Once they join BBOTHEAPP, users can set up their profiles and start creating wish lists with items they love or need. The platform collaborates with various retailers and brands to offer a selection of products, from tech gadgets and fashion accessories to home decor and personal care items. Once a wish list is created, it can be shared with the user’s network or remain open to the broader BBOTHEAPP community.

When a user decides to send a gift, they can browse available wish lists and select an item they wish to give. BBOTHEAPP handles all the logistics, ensuring the recipient’s privacy while making sure the gift reaches its destination. “This seamless experience is designed to spread happiness and build connections, whether it’s between friends, family, or even strangers united by the spirit of generosity” as stated Domenico Perri CEO and CO-FOUNDER of BBOTHEAPP.

BBOTHEAPP’s rise to popularity can be attributed to its innovative approach to social interaction. In a world where digital connections often feel impersonal, the platform brings back a sense of tangible and meaningful interaction. Users have reported an increased sense of community and satisfaction, as the act of giving and receiving gifts creates deeper bonds and brings joy to both parties involved.

The platform’s success is also a testament to its secure and user-centric design. BBOTHEAPP has implemented robust privacy measures, ensuring that users’ personal information remains protected at all times. The emphasis on privacy, combined with ease of use and the delight of receiving unexpected gifts, has made BBOTHEAPP a favorite among social media enthusiasts.

As BBOTHEAPP continues to grow and evolve, its potential to transform the way we connect online is immense. By prioritizing generosity and authentic human connection, BBOTHEAPP stands out as a beacon of positivity in the crowded social media space. Whether you want to surprise a friend, fulfill a stranger’s wish, or simply engage in a new form of social interaction, BBOTHEAPP offers a unique and exciting experience.

Join the millions who have already discovered the joy offered by BBOTHEAPP and experience the future of social networks, “where the power of giving brings people closer together” as said Joshua Castellano, CO-FOUNDER of BBOTHEAPP.

BBOTHEAPP iOS

BBOTHEAPP on Apple Store: DOWNLOAD NOW AND JOIN

40% of the time we spend on Facebook is on News Feed and we should learn how it works. There’s an algorithm that decides what posts come up on our Timeline. It’s like maths, but cooler. First of all, let’s make things clear: News Feed is the center column that appears after you click Home – a constantly updated list of posts of people and pages that you follow on Facebook. EdgeRank is the Facebook algorithm to determine where and what articles are appearing on a user’s own News Feed.

There are 3 components for the algorithm:

• Affinity
• Weight
• Time Decay

Affinity

Affinity calculates the relation between the user that sees the post in News Feed and the person that made the post. The closer the relationship, the higher the affinity is. Therefore, it’s very likely that you see in your News Feed posts of your close friends, than of relatively unknown people which whom you haven’t interacted. You may have observed that once you communicate with a certain user on Facebook, his/her posts start to appear more frequently on your News Feed.

Weight

Weight is a value system created by Facebook to increase/lower the value of a certain type of actions on Facebook. Comments require a higher degree of engagement and, therefore, are considered more valuable than, for example, a like. Consider the following: you will see more posts of a page where you usually comment, than posts of another one where you commonly just click like. The most “valuable” posts are photos and videos, followed by links and simple text.

Time Decay

Time Decay is the simplest notion to explain. The older a post is, the more it loses its value and visibility. News Feed needs to be always fresh. The good thing is your posts have increased chances to reach to people actually interested in the subject you share – engagement rises. Moreover, “high quality” posts are visible to more people, whereas the ones that receive negative feedback are “sanctioned”. And, not the last, you see personalized posts, just for you.

The other side of the coin is that Facebook forgets about passive users, which stop receiving in News Feed posts appealing to them. A page’s posts are less seen in fans’ News Feed without promotion, resulting in a post visibility of some 15%. This leads to more money spent by pages on advertising to reach its fans.

If some time ago, things were simpler, this new EdgeRank feature makes companies fight for a little space in everyone’s News Feed, to strive for engagement and spend money on Promoted Posts. Understanding how EdgeRank works is a must for every page manager that wants to reach fans more effectively.

A high percentage of blog traffic can come from Facebook from shared articles. Here are some tips on how to get things done:

Post periodically

To promote a site or a blog on Facebook you’ll have to build a community around your personal or business Facebook page. To achieve this, it’s needed to constantly post articles, images, videos, reviews or other interesting and useful content for your audience.

If you are doing it too rarely, people forget about you from one post to another and getting their attention back becomes difficult. There’s another aspect: Edge Rank. Facebook gives and Edge Rank (a mark similar to Google Page Rank for sites) to your posts, profile and page. The better their engagement (receiving likes, shares, comments), the higher are the chances they appear in users Newsfeed.

Basically, if people appreciate your posts, they are more likely to be seen by others on Facebook. This achievement requires frequent posting of interesting content.

All posts have a “life expectancy”: they are visible for a time, and then they disappear because other people post. So your articles are competing with others. You either come up with a viral or post something new.

Set up an editorial plan

Besides the frequency of your Facebook posts, you’ll need to establish the type of content you share. Too much blog promotion risks looking like advertising, especially if there isn’t a significant number of articles on the blog.

It’s more natural to post another type of content that includes your own articles. A good mix of posts can be 5-10 to 1. That means at 5-10 Facebook posts you can include 1 blog promotion post. Or any other ratio in which blog promoting is in minority compared to the rest of your share.

The posts that don’t promote you can have a useful subject, insights that you commented on the blog, funny or emotional stories. You’ll just have to test several types of content to see which fits best with your audience.

Consider publishing hour for optimal feedback

Depending on hours of the day or days of the week, you’ll receive different reactions to your posts. For example, in the morning, after arriving to job, many people have the habit of opening their Facebook profile. It can be a good moment to post because there’s the high probability that your post reaches an increased number of people. There’s also the downside of losing itself in the “morning post rush”, if the content is not interesting enough.

In a similar way, there are certain days when better answer rates exist, meaning people are more prone to click your link and visit your blog. The only way of identifying these patters is monitoring and testing your blog’s statistics.

Engagement

The purpose of these strategies is to have your content read by a large audience, not only by yourself. And this is still not enough. The objective is to get people to comment, like and share your posts. This is how your blog is really promoted (improving Edge Rank).

To get things done, a constant dialogue with followers is mandatory, in other words, you’ll have to engage them. Working daily and taking interest in what you do, you can be able to use Facebook as a promotion tool. Keep in mind that the best strategy for improving your blog traffic can be set up only by constant testing and monitoring.

Poti citi Partea I a articolului aici.

Greutatea

Fiecare categorie de Edge are o greutate standard diferita. Cu alte cuvinte, comentariile valoreaza mai mult decat like-urile.

Fiecare actiune pe care o face un utilizator creeaza un Edge, iar fiecare Edge (cu exceptia click-urilor) poate deveni un story. Asadar, in mod prestabilit, un utilizator cel mai probabil vede postarea unde un prieten a comentat, si nu faptul ca acel prieten s-a alaturat paginii cuiva.

Facebook schimba greutatea Edges-urilor pentru a reflecta probabilitatea tipurilor de articole interesante pentru fiecare in parte. De exemplu, imaginile si video-urile au o greutate mai mare decat link-urile. Nu este cunoscut daca aceste valori se schimba in cazul manifestarii unui interes mai mare pentru linkuri, in detrimentul pozelor.

Noile optiuni Facebook au in general o greutate mai mare, pentru a fi promovate utilizatorilor. De exemplu, cand au aparut Facebook Places, check-in-urile au avut o greutate standard foarte mare pentru cateva luni, iar News Feed-urile au fost inundate cu story-uri de tipul: “Maria just checked in at Universitate”. In general, dupa o perioada de cateva luni sau saptamani, Facebook atribuie noilor optiuni greutati mai rezonabile.

Perioada de Timp

Cand o postare devine veche, pierde puncte deoarece este “stire depasita”.

EdgeRank este un scor in continua schimbare, nu un punctaj fix. Atunci cand te loghezi pe Facebook, News Feed-ul e populat cu articole ce au cel mai ridicat scor exact in acel moment. Un status update va aparea in top, doar daca in acel moment are scorul mai mare decat al celorlalte story-uri. Se pare ca Facebook ajusteaza acest factor temporal in functie de doua aspecte:

• Data ultimei logari a utilizatorului
• Frecventa cu care se logheaza utilizatorul

Cum imi pot optimiza pagina pentru EdgeRank?

De retinut: oricine pretinde ca iti poate calcula EdgeRank-ul minte. Este complet imposibil. Facebook pastreaza algoritmul secret si il schimba constant.  Poti masura doar efectele EdgeRank prin studierea statisticilor Facebook analytics: cati oameni au interactionat cu pagina ta si cati vorbesc despre ea.

Este dificil sa pacalesti un algoritm sa “creada” ca ai un continut interesant.  Este mult mai simplu sa iti revizuiesti postarile pentru a-ti determina fanii sa comenteze mai mult si sa dea like-uri.

Poti incepe cu statusurile si titlurile de tip afirmatie – le poti schimba in intrebari irezistibile ce determina cititorii sa interactioneze. De exemplu:

• Da “like” daca esti nerabdator sa incerci noua noastra aplicatie
• Completeaza spatiul: De Craciun imi doresc _____. Promotia noastra de Craciun este produsul X.
• Da/Nu. Am facut dus dimineata. Incearca noul nostru produs cu extract de X
• Ce crezi despre Presedinte? Mai jos ai un video cu CEO-ul nostru impreuna cu Presedintele.

Toate like-urile si comentariile generate de intrebari si situatii inedite si indraznete vor creste scorul afinitatii dintre fan si pagina ta, ridicandu-ti sansele ca viitoarele tale postari sa apara in News Feed-ul lor.

Primul lucru pe care il vede cineva atunci cand se logheaza pe Facebook este News Feed-ul. Acesta este un rezumat a ce s-a intamplat recent printre prietenii din retea. Fiecare actiune a acestora este o potentiala aparitie pe News Feed. Facebook numeste aceste actiuni Edges (muchii). Asta inseamna ca oricand un prieten posteaza un status, comenteaza un altul, pune tag intr-o poza, se alatura unei pagini sau confirma participarea la un eveniment, genereaza un Edge, iar un “story” despre acest lucru poate aparea in News Feed-ul tau personal.

Ar fi coplesitor daca in News Feed ar aparea toate story-urile posibile ale prietenilor tai. Asa ca Facebook a creat un algoritm ce face predictii asupra gradului de atractivitate al unei postari pentru fiecare utilizator in parte. Facebook a numit acest algoritm EdgeRank, pentru ca ierarhizeaza muchiile. Apoi filtreaza News Feed-ul fiecarui utilizator pentru a arata doar postarile cele mai interesante pentru persoana in discutie.

De ce ar trebui sa ma intereseze EdgeRank-ul?

Pentru ca cei mai multi fani de pe Facebook nu iti vor vedea vreodata statusurile.

Facebook analizeaza toate postarile si apoi decide: “Care dintre ele are cel mai mare scor EdgeRank? Aceea va fi pusa in topul News Feed-ului. Care e scorul urmator pentru a doua pozitie?” si asa mai departe. Daca EdgeRank prezice ca un anumit utilizator va crede despre postarea ta ca este plictisitoare, atunci update-ul tau nu ii va fi afisat vreodata.

Observatie: Se pare ca sunt de fapt doua algoritme, desi nu a fost niciodata dovedit cu adevarat. Algoritmul EdgeRank ierarhizeaza story-uri, iar un al doilea algoritm sorteaa News Feed-ul. Acest algoritm al News Feed-ului include un element cu specific aleator si unul pentru centralizare in jurul unor cuvinte cheie. Zuckerberg a mentionat intr-un interviu pentru TechCrunch ca utilizatorilor Facebook li s-a parut straniu faptul ca Facebook stia prea bine lucrurile de care era interesati, asa ca s-a decis randomizarea subtila a News Feed-ului.

Statisticile sunt ingrijoratoare. In 2007, un inginer Facebook a declarat intr-un interviu faptul ca doar aproximativ 0.2% din story-urile eligibile ajung in News Feed-ul unui utilizator. Asta inseamna ca postarea ta concureaza cu cel putin alte 500 pentru un singur loc in News Feed-ul unui prieten.

Cum functioneaza EdgeRank?

EdgeRank e ca un rating de credit: e invizibil, important, unic pentru fiecare si nimeni in afara de Facebook nu stie cum functioneaza precis.

La conferinta Facebook F8 din 2010, s-au facut publice cele trei elemente ale algoritmului:

• Affinity (Afinitatea)
• Weight (Greutatea)ù
• Time Decay (Perioada de timp)

Afinitatea

Scorul Afinitatii se refera la cat este de “conectat” un anumit utilizator la Edge. Sa consideram urmatoarea situatie ipotetica: esti prieten cu fratele tau pe Facebook. De asemenea, ii scrii des pe Wall si aveti 50 de prieteni mutuali. Scorul afinitatii este mare in legatura cu fratele tau, asa ca Facebook stie ca probabil vei dori sa-i vezi postarile.

Facebook calculeaza scorul afinitatii observand actiunile explicite ale utilizatorilor si le ierarhizeaza dupa cum urmeaza:

• Puterea actiunii
• Cat de apropiata de tine este persoana care a facut actiunea
• Acum cat timp a avut loc actiunea

Actiuni explicite includ click-urile, like-urile, comentariile, tag-urile, share-ul si actiunea de a deveni prieten. Fiecare dintre aceste interactiuni are o greutate diferita, ce reflecta efortul presupus ca actiunea sa aiba loc: cu cat efortul utilizatorului e mai mare, cu atat este demonstrat mai mult interes pentru acel continut. A comenta un post este mai valoros decat un like, ce la randul lui e mai important decat un simplu click pe el. Citirea pasiva a unui update in News Feed nu are valoare, decat daca interactionezi cu el.

Afinitatea masoara nu doar actiunile proprii, ci si actiunile prietenilor si ale prietenilor lor. De exemplu, comentariul tau pe o pagina al carei fan esti valoreaza mai mult decat comentariul unui prieten de-ai tai. Mai mult, daca obisnuiai sa interactionezi cu cineva foarte mult, dar mai putin in prezent, influenta aceluia descreste treptat.

Scorul afinitatii functioneaza intr-o singura directie. Revenind la primul exemplu: vei avea un scor de afinitate diferit fata de al fratelui tau. Daca ii scrii des pe Wall, Facebook stie ca iti pasa de el, dar nu stie daca situatia e reciproca si pentru fratele tau. Poate suna confuz, dar de fapt scorul utilizeaza o logica simpla.

Continuarea o poti citi in Partea a II-a articolului, ce va fi publicata saptamana viitoare.