获取无限创意、计算高转化概率定向，手动上不太适合精细化运营。前文提到，高于平均转化率的定向组合就有三百多种，批量上传自动投放测试才能解放双手。
信息流投放门槛越来越低，入门的工作内容也趋于机械化 感觉自己就是个建计划的机器，批量投放是未来的趋势。信息流广告批量投放本不是难事，有第三方平台、也可以自己写，重点还是在投放规则也就是运营方法。
信息流广告批量投放工具要点有三，其一，定向设置；其二，创意上传；其三，测试规则。
信息流广告批量投放定向设置
def adgroups_add(advertiser_set) :
'''
adgroup_name：广告组名称
promoted_object_type：推广目标类型 PROMOTED_OBJECT_TYPE_LINK网页，PROMOTED_OBJECT_TYPE_LINK_WECHAT网页（微信推广）
end_date：空字符为长期投放
billing_event：计费类型 BILLINGEVENT_CLICK按点击扣费，BILLINGEVENT_APP_DOWNLOAD按照应用下载扣费，BILLINGEVENT_IMPRESSION按曝光扣费
bid_amount：出价
optimization_goal：广告优化目标类型 OPTIMIZATIONGOAL_ECOMMERCE_ORDER 下单
time_series：0 为不投放，1 为投放，全传 1 视为全时段投放，不允许全部传 0
configured_status：AD_STATUS_NORMAL有效, AD_STATUS_SUSPEND暂停
targeting_id：定向包id
site_set：投放站点集合（广告版位） SITE_SET_MOBILE_UNION优量汇，
'''
interface = 'adgroups/add'
url = apiurl + interface
common_parameters = {
'access_token': advertiser_set['access_token'],
'timestamp': int(time.time()),
'nonce': str(time.time()) + str(random.randint(0, 999999)),
}
parameters = {
"account_id": advertiser_set['account_id'],
"campaign_id": advertiser_set['campaign_id'],
"adgroup_name": advertiser_set['adgroup_name']+'-'+str(time.strftime("%m%d", time.localtime()))+'-'+str(int(time.time())),
"promoted_object_type": "PROMOTED_OBJECT_TYPE_LINK",
"begin_date": str((datetime.datetime.now()+datetime.timedelta(days=1)).strftime("%Y-%m-%d")),
"end_date": "",
"billing_event":"BILLINGEVENT_IMPRESSION",
"bid_amount": 12000,
"bid_strategy":"BID_STRATEGY_TARGET_COST",
"optimization_goal": "OPTIMIZATIONGOAL_ECOMMERCE_ORDER",
"time_series": "111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111",
"site_set": advertiser_set['site_set'],
"daily_budget": 0,
"targeting_id": advertiser_set['targeting_id'],
"configured_status": "AD_STATUS_NORMAL",
}
for k in parameters:
if type(parameters[k]) is not str:
parameters[k] = json.dumps(parameters[k])
r = requests.post(url, params = common_parameters, data = parameters)
return r.json()信息流广告批量投放创意上传
def dynamic_creatives_add(advertiser_set) :
'''
添加动态创意
'''
interface = 'dynamic_creatives/add'
url = apiurl + interface
common_parameters = {
'access_token': advertiser_set['access_token'],
'timestamp': int(time.time()),
'nonce': str(time.time()) + str(random.randint(0, 999999)),
}
parameters = {
"account_id": advertiser_set['account_id'],
"dynamic_creative_name": '动态创意-'+str(time.strftime("%Y%m%d", time.localtime()))+'-'+str(int(time.time())),
"dynamic_creative_template_id": advertiser_set['adcreative_elements'][0],
"dynamic_creative_elements":advertiser_set['adcreative_elements'][1],
"campaign_type": "CAMPAIGN_TYPE_NORMAL",
"promoted_object_type": "PROMOTED_OBJECT_TYPE_LINK",
"page_type": "PAGE_TYPE_DEFAULT",
"site_set":advertiser_set['site_set'],
"page_spec":
{
"page_url": advertiser_set['page_url']
},
}
for k in parameters:
if type(parameters[k]) is not str:
parameters[k] = json.dumps(parameters[k])
r = requests.post(url, params = common_parameters, data = parameters)
return r.json()
def adcreatives_add(advertiser_set) :
'''
adcreative_template_id：创意规则id
'''
interface = 'adcreatives/add'
url = apiurl + interface
common_parameters = {
'access_token': advertiser_set['access_token'],
'timestamp': int(time.time()),
'nonce': str(time.time()) + str(random.randint(0, 999999)),
}
parameters = {
"account_id": advertiser_set['account_id'],
"campaign_id": advertiser_set['campaign_id'],
"adcreative_name": "广告创意",
"adcreative_template_id": advertiser_set['adcreative_elements'][0],
"adcreative_elements": advertiser_set['adcreative_elements'][1],
"site_set":advertiser_set['site_set'],
"promoted_object_type": "PROMOTED_OBJECT_TYPE_LINK",
"page_type": "PAGE_TYPE_DEFAULT",
"page_spec":
{
"page_url": advertiser_set['page_url']
},
}
for k in parameters:
if type(parameters[k]) is not str:
parameters[k] = json.dumps(parameters[k])
r = requests.post(url, params = common_parameters, data = parameters)
return r.json()
def images_add(advertiser_set,path) :
with open(path, 'rb') as fp:
data = fp.read()
file_md5= hashlib.md5(data).hexdigest()
interface = 'images/add'
url = apiurl + interface
common_parameters = {
'access_token': advertiser_set['access_token'],
'timestamp': int(time.time()),
'nonce': str(time.time()) + str(random.randint(0, 999999)),
}
parameters = {
"account_id": advertiser_set['account_id'],
"upload_type": "UPLOAD_TYPE_FILE",
"signature": file_md5
}
files = {
'file' : open(path, 'rb')
}
for k in parameters:
if type(parameters[k]) is not str:
parameters[k] = json.dumps(parameters[k])
r = requests.post(url, params = common_parameters, files = files, data = parameters)
image_id=r.json()['data']['image_id']
return image_id
def videos_add(advertiser_set,path) :
interface = 'videos/add'
url = apiurl + interface
common_parameters = {
'access_token': advertiser_set['access_token'],
'timestamp': int(time.time()),
'nonce': str(time.time()) + str(random.randint(0, 999999)),
}
parameters = {
"account_id": advertiser_set['account_id'],
"signature": "19efcaeda3c30e1cf28170d86ecbf5e0",
}
files = {
'video_file' : open('/videos/'+path, 'rb')
}
for k in parameters:
if type(parameters[k]) is not str:
parameters[k] = json.dumps(parameters[k])
r = requests.post(url, params = common_parameters, files = files, data = parameters)
video_id=r.json()['data']['video_id']
print (video_id)
return video_id信息流广告批量投放测试规则
既然都用上批量上传广告了，广告数量激增，还得筛选出优质广告。什么样的广告符合优质的条件？这就是背后运营人的方法差异了，这也是自己做批量投放的好处，自定义测试规则更加灵活。
筛选优质创意主要是预算限制和关停，主要规则如下，读取账户实时数据，自动完成调整。
实际cpa>出价*3，关停
实际cpa>出价*2，预算调整为5*cpa
实际cpa>出价*1.5且转化>5，出价降低10%。
时间>=3天且消费<X，关停
这里太强大了，必须顶！！