Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Everything you need to know about look-alike targeting

  • Author: Veronica Lihnis

Understanding your target audience is the key to a successful advertising campaign. Firstly, marketers build a portrait of their target customer, based on their own experience and predictions. Next, they can use look-alike targeting, a tool that allows them to achieve maximum outreach to the target audience, in an efficient and cost-effective manner.

Look-alike targeting helps deliver ads to the people who look and act just like your target audience. It works through a combination of machine learning algorithms, combining the audience data you select, and an intelligent look-alike modeling algorithm. This results in a user behavioral pattern. These people have similar habits and preferences, buy clothes through the same online stores, and have the same phone model. In reality, they can be miles away from each other, but in the virtual world their paths cross every day.

How does look-alike targeting work

The main benefits of look-alike targeting are:

  • It extends your audience reach
  • It increases CTR by five times and doubles the conversion rate
  • Reduces the expense of non-target clicks and visits
  • Is updated in real time, thanks to machine-learning capabilities

As you can see, look-alike is a powerful tool in the hands of a well-versed campaign manager. However, if you are not the most experienced advertiser, here are our tips for using look-alike targeting effectively:

Ideal Seed Audience Size

Depending on the service you use, the amount of source audience data may differ. For example, Facebook recommends using a database of 1000 users, while My Target only takes into account lists with over 2000 users. According to our experience, the right audience size for look-alike targeting is somewhere between 1,000 and 10,000. For most of the services, any data with less than 1,000 users is not enough to develop a look-alike segment.  At the same time, any sample larger than 10,000 users, and the common features of your source audience become more general and therefore, less effective.

1% is Best

When working with Lookalike, you choose a percentage tier; we advise you to start with audiences of 1% similarity. The 1% similarity option helps you to find the top 1% of people, which look like your seed audience. This will be the most relevant audience, though the reach will clearly be narrow.

Pay attention to each stage of the purchase funnel

Carefully select your audience for each stage of the purchase funnel. If your goal is to increase brand awareness, build your look-alike audience from your websites visitors. Basing your look-alike audience on the ones you’ve already converted can boost sales.

Update your source audience data

If you use the original customer list for too long, it may lose its effectiveness. The best thing to do is to regularly upload new customer lists and create new look-alike audiences.

Test different audience types

Not all the customers in your original list will have the same characteristics. It’s better to create different lists of customers to receive accurate results. Also, test different audience types – no two audiences will perform the same. You can try a website audience vs an uploaded list of contacts, to discover which performs best.

Conclusion

Look-alike targeting helps to attract only your relevant audience. This is because it is tailored to your ideal customers specific behavioral characteristics, meaning it will help you to achieve excellent results. At the same time, this type of targeting is only suitable for brands with a large amount of collected audience data. The larger and higher quality the source database is, the better the performance indicators will be. The data must be correctly divided into segments, so that each of them will have their own distinctive characteristics.

Read also

digital advertising in canada
Blog
Programmatic buying dominates in the Canadian digital advertising market. Here are the main features and programmatic peculiarities of Canada.
Read more
digital advertising market in mena region
Blog
Programmatic is one of the most popular advertising technologies. Let’s see the main programmatic market peculiarities of MENA region.
Read more
advertising on connected devices, what is it ctv advertising, what is ctv ads
Blog
It's high time to say goodbye to cable TV. Lets talk about what connected TV and OTT are, and why marketers should pay attention to them?
Read more

Read also

digital advertising market in egypt, programmatic advertising egypt
Blog
Programmatic in Egypt
Read more
Blog
How to nail B2B marketing strategy: The complete guide into B2B ad strategy
Read more
programmatic in apac region, programmatic market in apac region, digital advertising in apac region
Blog
Programmatic in APAC region
Read more
CONTACT US
Ready to make your next campaign a success?
We are!

    First name and Last name*

    Company or Website URL

    Phone number

    • United States+1
    • Belarus (Беларусь)+375
    • Afghanistan (‫افغانستان‬‎)+93
    • Albania (Shqipëri)+355
    • Algeria (‫الجزائر‬‎)+213
    • American Samoa+1
    • Andorra+376
    • Angola+244
    • Anguilla+1
    • Antigua and Barbuda+1
    • Argentina+54
    • Armenia (Հայաստան)+374
    • Aruba+297
    • Ascension Island+247
    • Australia+61
    • Austria (Österreich)+43
    • Azerbaijan (Azərbaycan)+994
    • Bahamas+1
    • Bahrain (‫البحرين‬‎)+973
    • Bangladesh (বাংলাদেশ)+880
    • Barbados+1
    • Belarus (Беларусь)+375
    • Belgium (België)+32
    • Belize+501
    • Benin (Bénin)+229
    • Bermuda+1
    • Bhutan (འབྲུག)+975
    • Bolivia+591
    • Bosnia and Herzegovina (Босна и Херцеговина)+387
    • Botswana+267
    • Brazil (Brasil)+55
    • British Indian Ocean Territory+246
    • British Virgin Islands+1
    • Brunei+673
    • Bulgaria (България)+359
    • Burkina Faso+226
    • Burundi (Uburundi)+257
    • Cambodia (កម្ពុជា)+855
    • Cameroon (Cameroun)+237
    • Canada+1
    • Cape Verde (Kabu Verdi)+238
    • Caribbean Netherlands+599
    • Cayman Islands+1
    • Central African Republic (République centrafricaine)+236
    • Chad (Tchad)+235
    • Chile+56
    • China (中国)+86
    • Christmas Island+61
    • Cocos (Keeling) Islands+61
    • Colombia+57
    • Comoros (‫جزر القمر‬‎)+269
    • Congo (DRC) (Jamhuri ya Kidemokrasia ya Kongo)+243
    • Congo (Republic) (Congo-Brazzaville)+242
    • Cook Islands+682
    • Costa Rica+506
    • Côte d’Ivoire+225
    • Croatia (Hrvatska)+385
    • Cuba+53
    • Curaçao+599
    • Cyprus (Κύπρος)+357
    • Czech Republic (Česká republika)+420
    • Denmark (Danmark)+45
    • Djibouti+253
    • Dominica+1
    • Dominican Republic (República Dominicana)+1
    • Ecuador+593
    • Egypt (‫مصر‬‎)+20
    • El Salvador+503
    • Equatorial Guinea (Guinea Ecuatorial)+240
    • Eritrea+291
    • Estonia (Eesti)+372
    • Eswatini+268
    • Ethiopia+251
    • Falkland Islands (Islas Malvinas)+500
    • Faroe Islands (Føroyar)+298
    • Fiji+679
    • Finland (Suomi)+358
    • France+33
    • French Guiana (Guyane française)+594
    • French Polynesia (Polynésie française)+689
    • Gabon+241
    • Gambia+220
    • Georgia (საქართველო)+995
    • Germany (Deutschland)+49
    • Ghana (Gaana)+233
    • Gibraltar+350
    • Greece (Ελλάδα)+30
    • Greenland (Kalaallit Nunaat)+299
    • Grenada+1
    • Guadeloupe+590
    • Guam+1
    • Guatemala+502
    • Guernsey+44
    • Guinea (Guinée)+224
    • Guinea-Bissau (Guiné Bissau)+245
    • Guyana+592
    • Haiti+509
    • Honduras+504
    • Hong Kong (香港)+852
    • Hungary (Magyarország)+36
    • Iceland (Ísland)+354
    • India (भारत)+91
    • Indonesia+62
    • Iran (‫ایران‬‎)+98
    • Iraq (‫العراق‬‎)+964
    • Ireland+353
    • Isle of Man+44
    • Israel (‫ישראל‬‎)+972
    • Italy (Italia)+39
    • Jamaica+1
    • Japan (日本)+81
    • Jersey+44
    • Jordan (‫الأردن‬‎)+962
    • Kazakhstan (Казахстан)+7
    • Kenya+254
    • Kiribati+686
    • Kosovo+383
    • Kuwait (‫الكويت‬‎)+965
    • Kyrgyzstan (Кыргызстан)+996
    • Laos (ລາວ)+856
    • Latvia (Latvija)+371
    • Lebanon (‫لبنان‬‎)+961
    • Lesotho+266
    • Liberia+231
    • Libya (‫ليبيا‬‎)+218
    • Liechtenstein+423
    • Lithuania (Lietuva)+370
    • Luxembourg+352
    • Macau (澳門)+853
    • North Macedonia (Македонија)+389
    • Madagascar (Madagasikara)+261
    • Malawi+265
    • Malaysia+60
    • Maldives+960
    • Mali+223
    • Malta+356
    • Marshall Islands+692
    • Martinique+596
    • Mauritania (‫موريتانيا‬‎)+222
    • Mauritius (Moris)+230
    • Mayotte+262
    • Mexico (México)+52
    • Micronesia+691
    • Moldova (Republica Moldova)+373
    • Monaco+377
    • Mongolia (Монгол)+976
    • Montenegro (Crna Gora)+382
    • Montserrat+1
    • Morocco (‫المغرب‬‎)+212
    • Mozambique (Moçambique)+258
    • Myanmar (Burma) (မြန်မာ)+95
    • Namibia (Namibië)+264
    • Nauru+674
    • Nepal (नेपाल)+977
    • Netherlands (Nederland)+31
    • New Caledonia (Nouvelle-Calédonie)+687
    • New Zealand+64
    • Nicaragua+505
    • Niger (Nijar)+227
    • Nigeria+234
    • Niue+683
    • Norfolk Island+672
    • North Korea (조선 민주주의 인민 공화국)+850
    • Northern Mariana Islands+1
    • Norway (Norge)+47
    • Oman (‫عُمان‬‎)+968
    • Pakistan (‫پاکستان‬‎)+92
    • Palau+680
    • Palestine (‫فلسطين‬‎)+970
    • Panama (Panamá)+507
    • Papua New Guinea+675
    • Paraguay+595
    • Peru (Perú)+51
    • Philippines+63
    • Poland (Polska)+48
    • Portugal+351
    • Puerto Rico+1
    • Qatar (‫قطر‬‎)+974
    • Réunion (La Réunion)+262
    • Romania (România)+40
    • Russia (Россия)+7
    • Rwanda+250
    • Saint Barthélemy+590
    • Saint Helena+290
    • Saint Kitts and Nevis+1
    • Saint Lucia+1
    • Saint Martin (Saint-Martin (partie française))+590
    • Saint Pierre and Miquelon (Saint-Pierre-et-Miquelon)+508
    • Saint Vincent and the Grenadines+1
    • Samoa+685
    • San Marino+378
    • São Tomé and Príncipe (São Tomé e Príncipe)+239
    • Saudi Arabia (‫المملكة العربية السعودية‬‎)+966
    • Senegal (Sénégal)+221
    • Serbia (Србија)+381
    • Seychelles+248
    • Sierra Leone+232
    • Singapore+65
    • Sint Maarten+1
    • Slovakia (Slovensko)+421
    • Slovenia (Slovenija)+386
    • Solomon Islands+677
    • Somalia (Soomaaliya)+252
    • South Africa+27
    • South Korea (대한민국)+82
    • South Sudan (‫جنوب السودان‬‎)+211
    • Spain (España)+34
    • Sri Lanka (ශ්‍රී ලංකාව)+94
    • Sudan (‫السودان‬‎)+249
    • Suriname+597
    • Svalbard and Jan Mayen+47
    • Sweden (Sverige)+46
    • Switzerland (Schweiz)+41
    • Syria (‫سوريا‬‎)+963
    • Taiwan (台灣)+886
    • Tajikistan+992
    • Tanzania+255
    • Thailand (ไทย)+66
    • Timor-Leste+670
    • Togo+228
    • Tokelau+690
    • Tonga+676
    • Trinidad and Tobago+1
    • Tunisia (‫تونس‬‎)+216
    • Turkey (Türkiye)+90
    • Turkmenistan+993
    • Turks and Caicos Islands+1
    • Tuvalu+688
    • U.S. Virgin Islands+1
    • Uganda+256
    • Ukraine (Україна)+380
    • United Arab Emirates (‫الإمارات العربية المتحدة‬‎)+971
    • United Kingdom+44
    • United States+1
    • Uruguay+598
    • Uzbekistan (Oʻzbekiston)+998
    • Vanuatu+678
    • Vatican City (Città del Vaticano)+39
    • Venezuela+58
    • Vietnam (Việt Nam)+84
    • Wallis and Futuna (Wallis-et-Futuna)+681
    • Western Sahara (‫الصحراء الغربية‬‎)+212
    • Yemen (‫اليمن‬‎)+967
    • Zambia+260
    • Zimbabwe+263
    • Åland Islands+358

    Your message

    This site is protected by reCAPTCHA and the Google 
    Privacy Policy and Terms of Service apply.